Learn data science best practices.


John SukupJune 29, 2019

Explain the "So What?" Behind Machine Learning Models with the Expected Value Framework (Part 1 of...

Connect machine learning outcomes to business metrics through the Expected Value Framework.

Vinay KaragodSeptember 6, 2018

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.

David Ellison, PhDAugust 9, 2018

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.

Roman Josue de las Heras TorresMay 29, 2018

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.

Jesse Steinweg-WoodsMay 14, 2018

What Skills Does a Data Scientist Actually Need? A Guide to the Most Popular Data Jobs

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 fill them.

Iliya ValchanovMay 3, 2018

A Visual Guide to Analytics, Data Science, Business Intelligence, Machine Learning, and AI

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

Nikki CastleMarch 8, 2018

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 algorithms. Find out how they...

Joanne ChuFebruary 1, 2018

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.

Iliya ValchanovJanuary 25, 2018

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.

Savannah BurchfielDecember 18, 2017

Data Scientist and Machine Learning Engineer Jobs Have Highest Growth, LinkedIn Reports

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