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...
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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...
18 Data Science Certificates Rated
This infographic was produced by Springboard, and it lists a few short online, inexpensive courses along with some university programs, leading to a certificate. The info...
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...
Keeping Your Job in the Age of Automation
Summary: What are the real threats of job loss from real and AI enhanced virtual robots? How do we position ourselves and our children to succeed in this new environm...
Handling imbalanced dataset in supervised learning using family of SMOTE algorithm.
Consider a problem where you are working on a machine learning classification problem. You get an accuracy of 98% and you are very happy. But that happiness doesn’t las...