Learn data science best practices.

 

Santana WilsonApril 15, 2019

3 Ways AI is Used in Business Process Optimization

Learn how artificial intelligence is impacting the way companies do business and how to start “plugging AI” into your company’s existing data and systems.
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Tom MarlowMarch 29, 2019

The Hidden Insights of Patent Data

Black Hills IP CTO Tom Marlow explains why patent data is a fertile ground for analysis and insight on research and development activity around the world.
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Sinisa VukovicMarch 4, 2019

The Business Value of Combinatorial Subgraph Search

Scientist Sinisa Vukovic showcases the business value of graph implementation, specifically Combinatorial Subgraph Search (CSS).
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Shashank Shekhar RaiFebruary 28, 2019

3 Methods to Handle Missing Data

Machine learning practitioner Shashank Shekhar Rai goes over the different types of missing data as well as the common methods to handle missing data.
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Carol HargreavesFebruary 14, 2019

6 Steps to Building a Powerful Customer Analytics System

Carol Hargreaves, director of the data analytics consulting centre at the University of Singapore, presents six steps to building a powerful customer analytics system.
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Amit MishraFebruary 11, 2019

Fusing Design Thinking and System Engineering for Data Science

Innovator and educator Amit Mishra, Ph.D. presents a methodology that fuses Design Thinking and System Engineering that can increase the success of a data science project.
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Sebastian NeubauerJanuary 28, 2019

Why Is It so Hard to Put Data Science in Production?

Is data science helping your company build the systems that automate operational decisions? If not, Senior Data Scientist Sebastian Neubauer believes that adopting a DevOps mentality in your data...
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Shashank Shekhar RaiJanuary 17, 2019

5 Data Cleaning Tips to Test Assumptions

In this post, machine learning practitioner Shashank Shekhr Rai offers five tips that any data scientist or analyst can use as data checks and a way to second guess any assumptions that may creep...
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Gyasi DapaaJanuary 16, 2019

Target Twisted: Avoid Creating Biases in Loss Cost Modeling

Actuarial rate-making thought leader Gyasi Kwabena Dapaa explains why actuarial trend rates are not suitable for trending target loss variables of insurance predictive models.
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Vikram ReddyJanuary 14, 2019

A Business Perspective to Designing an Enterprise-Level Data Science Pipeline

Oracle Senior Data Scientist Vikram Reddy walks through a case study and illustrates key things to keep in mind when designing a data science pipeline.
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