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Infographic: Data Science Innovation in the Enterprise

Now more than ever before, companies are using data science to find value in big data. Find out what data science is, and how it makes use of artificial intelligence and ...

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How a Hybrid Cloud Can Reduce Cost and Increase Performance

Pure1 Product Lead Farhan Abrol shares the benefits of a hybrid cloud approach.

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Data Science Principles at Play in Search Engines

Lucidworks CTO Grant Ingersoll explains how search engines make use of popular data science concepts.

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Top 4 Reasons Data Scientists are Motivated to Change Jobs

Quant Connection Advanced Analytics Executive Search Consultant Mary Ann Hunt shares the top four issues that motivate data scientists to change jobs.

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How the Pharma Industry is Using Predictive Analytics for Brand Market...

Novartis US Oncology Advanced Analytics Lead Tatiana Sorokina explains how big data and analytics is being applied to the pharmaceutical industry.

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Data Science Platform Articles
The Forrester Wave™: Oracle Named a Leader Among Notebook-Based Predic...

With its acquisition of DataScience.com, Oracle “is instantly a force to be reckoned with in the PAML market,” Forrester reports.

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Evolutionary or Radical: Two Paths Towards Data-Driven Transformation

Kristian Mørk Puggaard, managing partner at DAMVAD Analytics in Stockholm, explores two paths organizations take toward data-driven transformation.

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A Data Science Framework for Forecasting Opening Box Office Revenue

National Research Group Vice President of Data Science Natasha Ericta presents a comprehensive data science framework that combines survey data with other sources of info...

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Challenges of Generalization in Machine Learning

EAF LLC Founder & Chief Data Engineer Blaine Bateman breaks down the efficacy of using validation performance to choose a model, and k-fold validation to predict future a...

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CPU vs GPU in Machine Learning

Data scientist and analyst Gino Baltazar goes over the difference between CPUs, GPUs, and ASICS, and what to consider when choosing among these.

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How to Calculate the Standard Deviation of a Financial Portfolio in R

In the first installment of his three-part series on calculating financial portfolio volatility in R, RStudio's Jonathan Regenstein demonstrates how to calculate portfoli...

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How to Handle Imbalanced Data: An Overview

Microsoft's Vinay Karagod provides an overview of several methods for handling data imbalances that can make data science projects a lot more challenging.

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Cloud Security: Preventive Measures Every Online Business Must Utilize

EscrowTech International Vice President Jorge Sagastume shares the advanced preventive measures that businesses should take to protect their software and data against una...

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Striking Gold with Data Science: How to Ensure It's More Than a Flash ...

Oracle Vice President of Data Science Mike Schumacher shares how to best invest in the golden age of data science.

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Doing Enterprise-Level Data Science with a Skeleton Crew

Adlumin Director of Data Science Tim Stacey gives his playbook on how to do data science at scale with a small team.

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How USC's Person Data Integration Project Went Enterprise-Wide

USC Data Architect Stanley Su gives his tips on how to transform a small project like the Person Entity (PE) Project to an enterprise-backed service.

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Build or Buy: Finding the Right Data Science Software for Your Organiz...

Clearlink Head of Data Science Landon Starr shares the key things to keep in mind when choosing a data science software that will help accomplish your organization's goal...

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Oracle Open Sources GraphPipe To Solve Machine Learning Model Deployme...

Oracle announced today that it has open-sourced GraphPipe, a tool that simplifies machine learning model deployment. Using GraphPipe, teams can easily deploy and query mo...

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The Chief Data Officer's Role in Enterprise AI Readiness

AI strategy advisor Roman Ferrando talks about the corporate change that must happen before an organization is ready to work with AI, and the pivotal role that the chief ...

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Fraud Detection Using Autoencoders in Keras with a TensorFlow Backend

Lenovo's David Ellison explains how autoencoders in Keras can be used to detect fraud. Read the tutorial the learn this invaluable TensorFlow application.

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7 Benefits of Using Search Engine Tools for Data Analysis

Lucidworks CTO Grant Ingersoll walks us through how search technology can transform data analysis—and also where it falls short.

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Articles
Machine Learning to Assess the Scientific Soundness of Medical Papers

Researchers Matt Michelson and Guilherme Del Fiol, MD, PhD summarizes their published deep learning method that effectively filters good research papers from not-so-good ...

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Bridging the Gap Between the Data Scientist and the Executive

HealthJoy.com Director of Data Science Scott Murdoch shares his tips on how data scientists can most effectively communicate with upper-level management.

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Data-Driven Debt Collection Using Machine Learning and Predictive Anal...

Researchers from University of Amsterdam and Vrije Universiteit Amsterdam describe how they've developed a data-driven machine learning method to optimize the collections...

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Articles Learn Data Science Python Data Visualization
Experimenting The Bayesian Way

Machine Learning Scientist Tarek Amr uses Python, NumPy, and Matplotlib to demonstrate how Bayesian analysis can help you chose the scenario with the best outcome, even i...

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Articles Best practices Digital Transformation
3 Ways to Get Stakeholder Buy-In for a Data Science Product

Salesforce VP of Data Science Applications Robin Glinton goes over one of the most challenging aspects of leading a data science team: gaining and maintaining stakeholder...

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Articles Digital Transformation Use Cases
Inside Monsanto's Digital Transformation

Monsanto CIO Jim Swanson and Data Science Center of Excellence Lead Naveen Singla dive into the company's transition from agricultural biotechnology firm to data science-...

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Articles Data Visualization Best practices
5 Best Practices For Data Visualization

Learn five data visualization best practices that will help you communicate the importance of data more effectively with your intended audience.

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Articles Best practices Artificial Intelligence
How to Accelerate AI Initiatives with Agile Development

Data science teams want to accelerate delivery and reduce the risk of artificial intelligence projects, but the traditional approach to AI development is hindering their ...

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Articles Learn Data Science
5 Tricks When A/B Testing Is Off The Table

This applied introduction to causal inference in tech was written by Coursera's Head of Data Science Emily Glassberg Sands and Uber's Rider Pricing and Marketplace Experi...

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Enterprise Artificial Intelligence: Hype or Reality?

We asked attendees at DataScience: Elevate in San Francisco how they feel about the hype surrounding business applications of artificial intelligence. Find out what data ...

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Articles Churn Modeling Learn Data Science
Introduction to Churn Prediction in Python

Learn the basics of predicting customer churn using Python in this tutorial by Seyed Sajjadi, a data scientist at Electronic Arts.

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Articles Digital Transformation Best practices
4 Questions To Ask Before You Embark on Your Digital Transformation

Digital Readiness Consultant Ramesh Subramanian provides a framework for defining the problems your digital transformation is intended to solve before you embark on a cos...

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Making the Transition to Data Science: 8 Differences Between Academia ...

Data Scientist Grace Tang explains the key differences between working in academia and working in industry.

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Articles Use Cases
Predictive Analytics in Industrial IoT

We explore predictive analytics in Industrial Internet of Things (IIoT) and how it can increase productivity, efficiency, and cost savings for plants and manufacturers.

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How Data Science Can Improve Business Efficiency

Clearlink Head of Data Science Landon Starr shares how data science can increase business efficiency through two universal improvement methods.

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Articles Learn Data Science Data Visualization IoT
How To Explore Apple Watch Data In R

IoT devices like the Apple Watch present an interesting opportunity for data analysis and visualization. Data Analyst Raul Eulogio looks at a year's worth of calories bur...

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To SQL Or Not To SQL, That Is The Question

Should you use a SQL or NoSQL database? Three professors from Katholieke Universiteit Leuven in Belgium tackle the rise of the NoSQL movement and the pros and cons of rel...

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Articles Machine Learning Learn Data Science Fintech
7 Ways Time-Series Forecasting Differs From Machine Learning

Roman Josue de las Heras Torres, a data scientist for SAP Digital Interconnect, shares seven key ways that time-series forecasting differs from machine learning.

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Articles Use Cases
How Clearlink Built A Data Science Presence In Its Marketing Departmen...

Clearlink Head of Data Science Landon Starr shares how data science forged a place alongside marketing and sales at the company.

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How to Get Data Science Buy-In from Your Business Organization

System1 Chief Data Officer Nathan Janos describes how he and his team communicate their data science process to business stakeholders when tackling a new optimization opp...

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4 Things to Remember When Defining KPIs

Life360 Head of Analytics Trenton Huey shares his tips on establishing and managing KPIs in the big data generation.

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Reddit's Director of Engineering On The Trajectory of Data Science and...

What will data science and AI look like in five years? We asked Reddit Principal Director of Engineering Luis Bitencourt-Emilio, part of the Reddit Intelligence Group, to...

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Articles Best practices
What Skills Does a Data Scientist Actually Need? A Guide to the Most P...

Tronc's Senior Data Scientist explains how the roles of data engineers, analysts, and data scientists vary, as well as when and why your company should start hiring to fi...

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Articles Digital Transformation Learn Data Science
Data Science is Closer to Reaching Its Potential with Blockchain

Polymetric Digital CEO Elizabeth Tran reveals how decentralized blockchain technology can help data science reach its full potential.

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How to Hire Data Scientists Based on Your Company Readiness

Analytics Associates Principal Recruiter Joseph Schott gives his tips on what roles company should be hiring for according to their analytics stage.

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Case Studies Use Cases
How Wpromote Improved Campaign Targeting for Its Clients

Deploying predictive customer lifetime value models on behalf of its clients in the DataScience.com Platform has given Wpromote the insights it needs to create highly tar...

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Version Control for Enterprise Data Science Teams With GitHub

Learn best practices for tracking and organizing data science work in repositories from the experts at GitHub and DataScience.com.

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Webinars Best practices
Steps for Building a Data-Driven Organization

Join General Assembly and DataScience.com to discover how to optimize your company’s data efforts — from filling roles to establishing processes. We'll be providing strat...

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Articles Machine Learning
5 Sneaky Biases That Could Be Lurking in Your Algorithms

RPA Senior Vice President and Director of Behavioral Science Hillary Haley presents 5 main types of biases we find lurking in algorithms and recommendations on how to get...

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Machine Learning Logistics

MapR’s SVP of Product Management Anoop Dawar took the stage at DataScience: Elevate San Francisco to explain why he believes that 90% of the effort involved in completing...

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Time Series Analysis for Marketing and Beyond

At DataScience: Elevate San Francisco, Uber's Director of Marketing Analytics Kim Larsen shared why time series analysis is used to inform some of the most critical busin...

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Scaling Data Science and Its Impact

At our DataScience: Elevate event in San Francisco, Airbnb Data Science Manager Claire Lebarz shared how the hospitality industry disruptor scaled its data science team a...

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Articles Machine Learning Artificial Intelligence
A Visual Guide to Analytics, Data Science, Business Intelligence, Mach...

365 Data Science Cofounder Iliya Valchanov builds a comprehensive Euler diagram to explain the similarities and differences of data science, business intelligence, machin...

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A Beginner’s Exploration of Shiny and Leaflet for Interactive Mapping

Publicis Senior Data Scientist Arda Kosar walks us through an introduction to interactive mapping using Shiny and Leaflet.

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Articles Biotech
4 Tips on Implementing Data Science in Healthcare

Tommy Blanchard, data scientist lead at Fresenius Medical Care North America, shares some things to keep in mind while working on data science projects in the healthcare ...

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Articles
Deep Learning for Natural Language Processing: Word Embeddings

GumGum Senior Data Scientist Roopal Garg explains how deep learning works for Natural Language Processing and word embeddings.

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Articles
4 Ways Deep Learning Enhances Marketing in a Visually Driven World

Vaibhav Puranik, GumGum VP of Engineering, Big Data & Platform, presents four ways deep learning is positively impacting marketing in an increasingly visually-driven worl...

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Articles Best practices Artificial Intelligence
Is Your Company Ready to Invest in AI?

While a majority of companies today have embraced AI in some capacity, it appears they are still woefully underprepared to meet the demands of building and capitalizing o...

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4 Questions to Ask Before Scaling Data Science

Catalina Marketing Senior Director of Strategic Retail Consulting Analytics Swetha Valluri presents the four important questions to answer before you start the difficult ...

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Articles
Growing a Data Function in a Data-Immature Environment

Instigating a new culture of data is a tedious task not for the faint of heart. Jennifer Prendki, chief data scientist at Atlassian, shares how to establish a successful ...

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Articles
Skills That LinkedIn Looks for in a Data Scientist Candidate

LinkedIn Head of Analytics & Data Science Michael Li shares what skills the Analytics team looks for when hiring new talent.

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How Instapage Built a Data Team from Scratch

Instapage Business Intelligence Manager Abhishek Singh walks through how he build a data team from scratch.

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Articles Learn Data Science
Using Linear Discriminant Analysis to Predict Customer Churn

This article goes over what factors are mainly responsible for customer churn and how we can predict whether the customer will churn or stay, along with the associated pr...

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7 Effective Methods for Fitting a Linear Model in Python

This article provides 7 faster and cleaner methods of fitting a linear model to a large set of data.

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It's Time to Talk About Data Ethics

In an era where fake news travels faster than the truth, we need to be having difficult conversations about our individual and collective responsibility to handle data et...

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How to Write Production-Level Code for Data Science Projects

This article provides tips on how fresh university graduates or any professionals who have made the transition into data science (or are planning to do so) can practice w...

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Are Your Models Underperforming Post-Deployment?

This article goes over the importance of model testing in order to make sure predictive models are meeting expectations once they've been deployed in a real production en...

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Articles Learn Data Science
How to Dominate the Statistics Portion of Your Data Science Interview

Carson Forter, a data scientist at Twitch, covers the ideas, techniques, and equations that are likely to turn up during a data science interview.

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Webinars Use Cases Data Visualization Data Science Platform
Detecting IoT Network Intrusion with Plotly

Using Plotly's Dash tool and the DataScience.com Platform, learn how to build a simple intrusion detection app to assess whether an IoT network has been compromised.

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Webinars Best practices
Building Data Science Capabilities That Scale

Join DataScience.com CEO Ian Swanson and The Data Incubator Founder Michael Li as they explore the technology gaps, roadblocks to innovation and efficiency, and talent re...

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Best practices Predictive Modeling Videos play button
Interpreting Machine Learning Models

Learn how to better explain the results of your machine learning models to maximize the impact of your work in your organization in this webinar featuring experts from O'...

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Webinars
Why a Data Science Code of Ethics is Good for (Your) Business

Thought leaders from General Assembly and BrightHive lead an important discussion on the growing role of ethics in data science in this webinar sponsored by DataScience.c...

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Case Studies
How DataScience.com Helps EBTH Predict Monthly Revenue Within Cents

Since implementing the DataScience.com Platform, online estate sale company Everything But the House has automated tasks that used to generate hours of unnecessary overti...

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Using Data Science to Find and Keep Talent

At our Elevate event in San Francisco, Korn Ferry Director of Reporting and Analytics Raghav Singh demonstrates how his company uses machine learning to transform talent ...

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Data Science Workflows That Lead to Business Results

In a panel led by DataScience.com CEO Ian Swanson, Cisco Director of Digital Community Engagement Kristen Burton, DataScience.com Director of Data Science Andrea Trevino,...

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10 Must-Haves in an Enterprise Machine Learning Platform

At our Elevate event in San Francisco, Forrester VP & Principal Analyst Mike Gualtieri goes over what companies should look for when evaluating a machine learning platfor...

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How Data Influences Product Design at Salesforce

In this video from the DataScience: Elevate event in San Francisco in 2018, Salesforce Chief Data Officer Hernán Asorey and VP of Strategy & Growth David Colby demonstrat...

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Videos play button Predictive Modeling
Using Beta Binomial Regression for Inventory Forecasting at Stitch Fix

At our Elevate event in San Francisco, Data Scientist Sally Schoeffler breaks down a technique that helps the inventory management team at Stitch Fix better understand ho...

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Managing Data Science (Before It Manages You)

In this webinar, General Assembly Data Advocacy Lead Joseph Nelson and DataScience.com Chief Strategy Officer William Merchan give their insights on how to build strong d...

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Articles
How to Stand Out in Today’s Enterprise AI Market

Oleg Rogynskyy, CEO of People.ai, shares what organizations need to get right in order to stay competitive in a new business landscape heavily influenced by machine learn...

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Articles
What is DataOps? Everything You Need to Know

What is DataOps and how does it make data science teams more productive? Learn about the history of DataOps and five steps to implementing this agile methodology for data...

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Articles
Regression vs. Classification Algorithms

Machine learning algorithms can be split into different categories based on the format of their outputs. By far, the most commonly used are regression and classification ...

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White Papers Data Science Platform
Score Your Data Science Capabilities

Grade your organization on its use of talent, technology, and management techniques with our data science roadmap worksheet and find out which Forrester-identified catego...

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Articles
5 Challenges Your Chief Data Officer is Likely to Face

According to Gartner, it’s estimated that 90% of large global organizations will have a CDO by 2019, but only 50% will be considered a success — here's why.

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White Papers
Testing Predictive Models in Production

Predictive models are usually trained on historical data and don't always behave the same after deployment. Learn how to create A/B tests and multi-armed bandit tests to ...

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Articles Use Cases Learn Data Science Best practices
Mixing Business with Data: An Elevate Recap

At DataScience.com’s second annual Elevate conference in San Francisco, data practitioners, data science managers, and executives gathered together to bridge the gap betw...

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Best practices Webinars
Managing Data Science (Before it Manages You)

Find out how to manage data science effectively from leaders at General Assembly and DataScience.com — before it manages you.

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Articles Learn Data Science Machine Learning
When K-Means Clustering Fails

K-means clustering is a simple way to segment data into distinct groups. But what happens when outliers or messy data make K-means clusters suboptimal?

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Articles Machine Learning Artificial Intelligence Use Cases
Crowd-Sourced Data and AI: A Perfect Pair

This Valentine's Day we're celebrating crowd-sourced data and artificial intelligence. Find out why they're such an ideal match.

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Best practices Data Science Managers Articles
3 Ways to Boost Your ROI in Data Science

If you're not seeing a respectable ROI from data science, it might be time to examine the larger processes at work.

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Articles Learn Data Science Machine Learning
What is Semi-Supervised Learning?

Find out what semi-supervised machine learning algorithms are and how they compare to supervised and unsupervised machine learning methods.

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Articles Best practices Learn Data Science
How to Survive Your Data Science Interview

Data Scientist Brandon Rohrer shares his plan for surviving a data science interview, from tackling coding practice problems to building a microproject.

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Videos play button Business Use Cases Natural Language Processing
Mining Customer Opinions

In this seminar, Data Scientist Tuck Ngun demonstrates how to leverage natural language processing to mine reviews in order to understand customer sentiment.

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Deep Learning Machine Learning Artificial Intelligence Articles
Understanding AI, Machine Learning, and Deep Learning

Artificial Intelligence is an umbrella term that includes many subsets such as Machine Learning and Deep Learning. We explore the similarities and differences.

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Articles DataOps DevOps Digital Transformation
Why Companies are Failing at DataOps

With the success of DevOps, companies are now looking to become agile in other applications. Find out why DataOps, or agile data management, is hard to adopt.

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Learn Data Science R RStudio Fintech Articles
Performing a Time Series Analysis on the S&P 500 Stock Index

Learn how to forecast time-series data in R. This tutorial covers exploratory analysis with data visualizations and building and testing an ARIMA model.

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Articles Learn Data Science Machine Learning Artificial Intelligence
Machine Learning: An Overview

Machine learning is a powerful tool for making actionable predictions. Learn about the four ingredients you need to train a machine learning model.

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Articles Best practices Data Science Managers
Why Are Data Science Leaders Running for the Exit?

Edward Chenard explains why shoehorning technical experts into manager roles and improperly applying agile methods to data science projects can cost companies.

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Designing Recommendation Engines

In this seminar, Data Scientist Tuck Ngun provides an introductory look at content-based and collaborative filtering approaches to building recommender systems.

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Enterprise Applications of Artificial Intelligence

During the AI in Enterprise panel at H2O World, DataScience.com CSO William Merchan shared how enterprise companies are leveraging artificial intelligence.

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Articles Best practices
Data Science Will Be More Complex and Collaborative in 2018

In 2018, companies will lay the groundwork for complex, collaborative data science projects that streamline operations and improve customer experiences.

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Articles Learn Data Science R RStudio Data Visualization Fintech
Building a Sortino Ratio Shiny App

In the final installment of his three-part series, RStudio's Jonathan Regenstein builds a Shiny app that makes it easy for users to explore the Sortino ratio.

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Articles Learn Data Science Artificial Intelligence
What is Artificial Intelligence?

Artificial intelligence gets a lot of hype, but what is it really? Learn more about the limitations and capabilities of AI in business applications.

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Articles Business Use Cases Artificial Intelligence Biotech
Q&A: Using Artificial Intelligence to Identify Genetic Variants

BioRealm founders James Baurley and Carolyn Ervin explain how AI can be used to identify genetic variants that are related to certain treatment outcomes.

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Articles Learn Data Science Machine Learning
Data Scientist and Machine Learning Engineer Jobs Have Highest Growth

Data scientists and machine learning engineers topped LinkedIn's 2017 Emerging Jobs Report, due to an increased focus on data capabilities across industries.

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Study: What Skills Does the Typical Data Scientist Have?

What skills does the typical data scientist have? Iliya Valchanov of 365 Data Science identifies common traits across 1,001 data scientist LinkedIn profiles.

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Articles Learn Data Science
Introduction to Random Forests

Random forests are a popular ensemble method for building predictive models. This tutorial explains how to fit, train, and validate a random forest.

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Articles Best practices
Four Keys To Building Your Data Science Function From DJ Patil

Featured in Forbes, this article features key insights on data science function from DJ Patil, DataScience.com's new advisory board member.

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Aligning Beachbody's Business and Data Teams

Beachbody's Director of Data Aarthi Sridharan talks about the roadblocks she has encountered trying to align business stakeholders and data scientists.

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Articles Learn Data Science
Visualizing The Sortino Ratio

In the second installment of this three-part series, RStudio Enterprise Advocate Jonathan Regenstein demonstrates how to visualize the Sortino ratio.

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Videos play button Best practices
What Keeps Women in Tech Up at Night?

We asked experts at Amgen, Open Table, Beachbody, and other cutting-edge companies what data challenges keep them from resting easy.

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Articles Learn Data Science
Calculating the Sortino Ratio

In the first installment of this three-part series, RStudio Enterprise Advocate Jonathan Regenstein demonstrates how to calculate the Sortino ratio.

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Articles Best practices
Taking an Agile Approach to Data Science

Software development practices like continuous integration and delivery can be applied to data science work to get better results faster. Find out how.

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Articles Best practices
Learn How DataOps Will Set Your Team Apart

Our newest white paper demonstrates how a DataOps approach, used in tandem with a data science platform, will set your team up for success.

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Articles Learn Data Science
Assessing Evidence for Causality Using the E-Value

Harvard Professor of Epidemiology Tyler VanderWeele explains how the E-value will be useful to data scientists who want to reason about causality.

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White Papers Best practices
DataOps: an Agile Methodology for Data-Driven Organizations

Coauthored by MapR, this white paper delves into the benefits of a DataOps approach to developing and deploying models with the help of a data science platform.

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Articles Learn Data Science
Voice of the Customer Playbook Now Available

Our Voice of the Customer Playbook provides a comprehensive set of content focused on understanding your users with natural language processing.

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Articles Data Science Platform
Are Your Data Scientists Self-Sufficient?

Learn how data science platforms give data scientists the tools they need to be self-sufficient.

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Articles Best practices
Quality Data Improves Analysis

Foursquare Data Scientist Daniel Kronovet explains why quality data improves analysis.

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Webinars Data Science Platform
Best Practices: Implementing DataOps with a Data Science Platform

We will be hosting a joint webinar with MapR on November 7 on best practices for implementing DataOps with a data science platform.

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Articles Learn Data Science
Using In-Game Behavior to Measure the Impact of a New Release

Data Scientist Jean-René Gauthier uses CausalImpact and bayesian structural time series to measure the impact of a World of Warcraft release on active users.

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Videos play button Best practices
What Does the Future Hold for Machine Learning?

What is possible when it comes to machine learning? We asked experts at Netflix, Oracle, Verizon, and other companies how data science will impact the future.

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Articles Best practices
Data Science, IT, and Your Digital Transformation

A great data management strategy and tools that make it easy for IT to standardize and monitor data science work are essential to digital transformation.

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Articles Best practices
3 IT Best Practices For Managing Data Science with Docker Containers

Is your IT team using Docker containers to deploy data science models or environments? Here are three best practices for keeping workflows running smoothly.

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Articles Learn Data Science
Word Embeddings: A Natural Language Processing Crash Course

Data Scientist Ruslana Dalinina shows how to use word embeddings, a set of natural language processing methods, to cluster similar words from a large dataset.

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How Verizon Wireless Builds Predictive Models

Verizon Wireless Data Scientist Aurora LePort shares the company's process for building models that predict customers churn and other behaviors.

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Articles Best practices
PowerPoint Doesn't Meet Data Science Needs

The data operations at simplehuman shares his tips for presenting data science results.

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Articles Learn Data Science
Q&A: How to Use DevOps for Data Science

Amgen’s Pam McCaslin explains how DevOps can speed up data science model deployment.

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Videos play button Best practices
Elevate: Spotlight — Women in Technology Panel

In this panel, female data leaders across a variety of companies discuss data science best practices.

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Articles Data Science Platform
Stay Ahead of the Digital Transformation Curve

Learn how data science platforms can help you scale your digital transformation strategy.

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Articles Learn Data Science
Using R to Analyze Food Blogs

Data Scientist Burak Himmetoglu demonstrates how to visualize data to gain insight into food blogs.

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White Papers Data Science Platform
Data Science Platforms: Helping IT Drive Digital Transformation

Learn how data science platforms can empower IT, as well as the data science teams they support, to scale their vision.

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Videos play button Learn Data Science
Building Shiny Applications for Business Users

Shiny applications are ideal for decision makers who want a code-free way to interact with data. Learn how a data science platform makes it easy to build one.

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Articles Learn Data Science
Dynamically Pricing Hotel Rooms for Maximum Revenue

Data Scientist Jean-René Gauthier explores a method for pricing hotel rooms for profitability in this piece from DataScience.com's Dynamic Pricing Playbook.

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Videos play button Best practices
What Problems Keep Data Science Experts Up at Night?

We asked experts at Google, Oracle, Live Nation, and other cutting-edge companies what data challenges keep them from resting easy. Here's what they told us.

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Articles Use Cases
The Importance of Data Science in Biotech

Data Scientist at Synthetic Genomics Joe Liang discusses how data science is playing a crucial role in disease prediction and preventative treatment plans.

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Articles Best practices
Hiring a Data Scientist

DataScience.com and Executive Recruiting firm Burtch Works will be cohosting a webinar on September 7 to share best practices for hiring data science talent.

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Articles Learn Data Science Use Cases
Scaling Data Infrastructure at Postmates

Data Engineer at Postmates Charles Bergmeier discusses how the on-demand delivery service redesigned its existing data architecture for scalability.

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Webinars Learn Data Science
Intro to Neural Nets, Part II

In the second part of this webinar series, The Data Incubator's Robert Schroll will continue his demonstration of how to build neural nets in TensorFlow.

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Articles Use Cases
Improving Automated Camera Technology

Ph.D. student at Caltech Hoang Le discusses his team's research creating machine learning algorithms to streamline automated camera technology.

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Videos play button Best practices
3 Reasons Jupyter Adoption is on the Rise

Watch DataScience.com CSO William Merchan's JupyterCon keynote on why enterprises are adopting the open source web application Jupyter for data science work.

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Articles Learn Data Science Data Science Managers
The Data Science Behind Binge Buying

Senior Data Scientist Jean-René Gauthier explains how data science can identify binge buyers, how this translates to sports, and the takeaways for businesses.

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Articles Learn Data Science Data Science Managers
Detecting Network Intrusion

Data Scientist Aaron Kramer leverages the DataScience.com Platform to build a machine learning API that tackles network intrusion detection.

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Articles Learn Data Science Data Science Managers
Using NLP to Analyze Hotel Reviews

Senior Data Scientist Ruslana Dalinina discusses how to apply natural language processing to sort through hotel reviews in the DataScience.com Platform.

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Articles Best practices Executives
Machine Learning vs. Deep Learning

Learn about the differences between artificial intelligence, machine learning, and deep learning, and the ways in which they are all connected.

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Articles Learn Data Science
Visualizing U.S. Housing Prices

Learn how to build a Shiny App that visualizes housing prices in the U.S.

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Image Recognition with Deep Learning

Join us for an Expertise Seminar on how to build an image recognition model using deep learning!

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Videos play button Learn Data Science
Publishing a Shiny App in the DataScience.com Platform

Learn how to publish a Shiny app in the DataScience.com Platform so you can share interactive data visualizations with colleagues and business stakeholders.

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Speaker Session: Expert-Support Data Science

Jay Yonamine, head of data science on the global patents team at Google, highlights the importance of data-driven tools guiding expert decision making.

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Speaker Session: Using Humor to Predict Successful Dates

Chief Scientist at eHarmony Steve Carter discusses how the renowned dating site is studying the connections between sense of humor and compatibility.

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Speaker Session: Big Data in Ad Tech

Tom Kershaw, chief product and technology officer at Rubicon Project, Inc. discusses algorithmic optimization in advertising.

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Pricing Tickets into the Hands of Fans

John Carnahan, CDO and EVP of data science and engineering at Live Nation, discusses the approaches that Ticketmaster has taken to sell tickets.

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Speaker Session: Finding the Good, Bad, and Ugly Predictions You're Ma...

Morgan Hansen, director of data science at ALG, a TrueCar Company, discusses the importance of visualizing predictions.

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Data Experts Discuss Trends at DataScience: Elevate

Data science experts from Verizon, Netflix, DataScience.com, and other organizations shared best practices as well as tips for data practitioners.

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Launching a Jupyter Session With Deep Learning Tools

Learn how to launch a Jupyter session in the DataScience.com Platform that is already equipped with deep learning tools like TensorFlow and Keras.

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The Data Science Behind Binge Buying and the Hot Hand Effect

Lead Data Scientist Jean-René Gauthier discusses how to identify binge buyers and atheletes on a "hot streak," as well as the takeaways for businesses.

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Automated Machine Learning

Automated machine learning tools are helping data scientists be more productive.

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Predicting Loan Defaults with H2O.ai and DataScience.com

A live demonstration of how to use H2O.ai's artificial intelligence capabilities to predict loan defaults with the DataScience.com Platform.

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Webinars Learn Data Science
Intro to Neural Nets in TensorFlow

In this webinar, The Data Incubator's Data Scientist in Residence Robert Schroll will be demonstrating the analytical capabilities of neural nets in TensorFlow.

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Videos play button Learn Data Science
How Recommendation Engines Impact Daily Decisions

Data Scientist Tuck Ngun explains the differences between content-based and collaborative filtering approaches to building recommendation engines.

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Using Probabilistic Models to Predict Customer Lifetime Value

In this webinar, Data Scientist Harry Papadimitriou demonstrates how to use Pareto/NBD and gamma-gamma models to predict the value of future customer purchases.

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Videos play button Learn Data Science
Introduction to Bayesian Inference

Data Scientist Aaron Kramer explains how Bayesian inference can be used to evaluate the success of a marketing campaign.

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Scaling Data Science

Find out how big data can be a transformative force for your company.

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Conducting Inventory Analysis With RStudio

A live demonstration of how to use RStudio to solve an inventory management problem in the DataScience.com Platform.

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Events
DataScience: Elevate

DataScience: Elevate is a half-day event dedicated to data science best practices, featuring experts from Google, Netflix, Live Nation, and more.

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Videos play button Churn Modeling Customer Churn Learn Data Science
The Value of Churn Modeling

A predictive churn model can help identify and target customers who are likely to stop engaging with your business. Senior Data Scientist Ruslana Dalinina explains how.

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Striking a Balance Between Model Performance and Interpretability

Model-agnostic interpretation algorithms make it possible to determine the decision-making process of a model regardless of its complexity. Join our upcoming webinar to f...

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Articles Data Science Platform Data Science Managers Executives
What Is a Data Science Platform?

A data science platform is a big investment. Before you buy, find out what platform features can help your data scientists do their best work.

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Identifying and Understanding Your Highest Value Customers

Senior Data Scientist Jean-René Gauthier explains his approach to building a customer lifetime value model, one of the most important predictive models for eCommerce busi...

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Events
Meetup: Google Cloud and Accelerated Genomics

On April 28, Google's Allen Day led a meetup at DataScience.com about how Google's Cloud services (CloudML, Vision, Genomics API) can be used to process genomic and pheno...

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White Papers Best practices
Open Source Tools for Enterprise Data Science

Open source tools like R, Spark, and TensorFlow are becoming a mainstay of enterprise data science. This white paper examines why these solutions are driving change in th...

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Three Predictive Modeling Flaws

Low data quality, a lack of data lineage, and isolated data scientists are common roadblocks to data science work. Learn how to overcome them in this article from TechTar...

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Optimizing Online Advertising with Data Science

In this screencast, Data Scientist Andrea Trevino explains how data modeling can be used to optimize digital advertising.

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Churn Modeling from A to Z

In this video introduction to churn modeling, Data Scientist Ruslana Dalinina outlines the steps to predicting customer defections, from defining the churn event to model...

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Topix Selects Better Ads Faster with the DataScience Cloud

Since implementing the DataScience.com Platform, online media giant Topix has tripled the speed at which it can make marketing decisions.

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Building Recommendation Engines

In this video introduction to recommender systems, Dr. Tuck Ngun breaks down the processes and data needed to algorithmically predict what your customers want and when.

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Introduction to Recommendation Engines

Download this guide to learn what you need to build a recommender system that makes algorithmically driven suggestions to your customers and drives profit for your busine...

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Data Science Platforms Seen as Difference-Makers

In this article, Datanami weighs in on Forrester research that shows data science platforms help companies dominate the competition and streamline workflows.

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DataScience at Gartner Data & Analytics Summit 2017

Don't miss DataScience.com at the Gartner Data & Analytics Summit 2017.

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Articles Data Science Platform Executives
Is Your Organization A Data Science Leader Or Laggard?

Forbes talks with DataScience.com CEO Ian Swanson about new research that shows insights leaders are using data science platforms to beat the competition.

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Data Science Platforms Help Companies Turn Data Into Business Value

Research from Forrester Consulting shows that 88% of high-performing companies use a platform to do data science work.

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DataScience at Strata + Hadoop World 2017

DataScience.com is heading to Strata + Hadoop World 2017.

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How Data Science Will Hit Its Stride in 2017

TechRepublic sat down with DataScience CEO Ian Swanson to talk about how platforms, bots, and probabilistic programming will help data science provide real value in the n...

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Events
Meetup: The Data Science of Traffic Safety

Join us as we discuss the role of government, industry and citizens in leveraging data science to achieve zero pedestrian deaths from traffic by 2025.

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Webinars Data Science Platform
How Data Science Platforms Help Insights Leaders Outperform Competitio...

Join DataScience CEO Ian Swanson and Forrester Research VP and Principal Analyst Brian Hopkins as they share the ways data science platforms are helping companies become ...

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Scaling Scala

The demand for Scala is booming. But there are still lingering concerns about whether it's the right language for data science and engineering teams.

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Why You Need a Data Science Platform

A less-than-ideal data science workflow is keeping companies from meeting their data science goals. A platform can help.

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We Are DataScience

DataScience.com was founded with the mission to empower data scientists with best-in-class tools, infrastructure, and expertise. This video is a testament to that mission...

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Lightning Talk: Data Science in Public Service

Lilian Coral, chief data officer for the City of Los Angeles, speaks about the role of data science in improving public works at an after hours DataScience networking eve...

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The Data Science Behind Black Friday Discounts

Retail giants like Amazon are employing data science techniques such as machine learning and predictive modeling to optimize discounting during holiday sales events. Find...

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Why Data Scientists are Slowing Bots Down to Play StarCraft II

Find out how data scientists are humanizing machine learning-powered bots by requiring them to devise realistic strategies to multi-dimensional problems in video games.

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Set Your Data Science Team Up for Success

Avoid costly issues that commonly arise in every stage of the data science process, from data preparation to decision making.

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Events
ODSC West 2016

Meet up with DataScience.com at the Open Data Science Conference West 2016.

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Three Steps to Better Customer Retention

Predictive data modeling uses machine learning algorithms to discover why customers churn. Find out what else your company needs to become a retention machine.

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How Senior Data Scientist Chris McKinlay Hacked OKCupid

Senior Data Scientist Chris McKinlay shares his experience reversing OKCupid's matching algorithm and becoming a near-perfect match for thousands of users.

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