Deep Learning Cheat Sheet (using Python Libraries)
This cheat sheet was produced by DataCamp, and it is based on the Keras library..Keras is an easy-to-use and powerful library for Theano and TensorFlow that provides a h...
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Re-thinking Enterprise business processes using Augmented Intelligence
In the 1990s, there was a popular book called Re-engineering the Corporation. Looking back now, Re-engineering certainly has had a mixed success – but it did have an im...
Which machine learning algorithm should I use?
By Hui Li, Principal Staff Scientist, Data Science, at SAS. A typical question asked by a beginner, when facing a wide variety of machine learning algorithms, is “which...
Book: Data Science for the Layman: No Math Added
Want to get started on data science? Our promise: no math added. This book has been written in layman’s terms as a gentle introduction to data science and its algorithm...
Key Machine Learning PreReq: Viewing Linear Algebra through the right lenses
Guest blog by Ashwin Rao. Ashwin is Vice President, Data Science & Optimization at Target. The tech industry has gone berserk – everyone wants to develop “sk...
Data Scientists Automated and Unemployed by 2025!
Guest blog post byBill Vorhies Summary: The shortage of data scientists is driving a growing number of developers to fully Automated Predictive Analytic platforms. Some o...
The [Marketing Data Scientist’s] Search for a Home: Part I
A thought provoking series that gives my account of becoming a marketing data scientist hybrid during one of the most chaotic times in the marketing industry, the Big Dat...
Introduction to Principal Component Analysis
This formula-free summary provides a short overview about how PCA (principal component analysis) works for dimension reduction, that is, to select k features (also called...
What Happens in 60-Seconds Online? – Infographics
Originally posted on Data Science Central This infographic on Shopper Marketing was created by Steve Hashman and his team. Steve is Director at Exponential...