18 Great Blogs Posted in the last 12 Months
This is part of a new series of articles: once or twice a month, we post previous articles that were very popular when first published.… Read More »18 Great Blogs Posted in the last 12 Months
This is part of a new series of articles: once or twice a month, we post previous articles that were very popular when first published.… Read More »18 Great Blogs Posted in the last 12 Months
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… Read More »Re-thinking Enterprise business processes using Augmented Intelligence
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… Read More »Which machine learning algorithm should I use?
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… Read More »Book: Data Science for the Layman: No Math Added
Guest blog by Ashwin Rao. Ashwin is Vice President, Data Science & Optimization at Target. The tech industry has gone berserk – everyone wants to develop… Read More »Key Machine Learning PreReq: Viewing Linear Algebra through the right lenses
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… Read More »Data Scientists Automated and Unemployed by 2025!
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… Read More »18 Data Science Certificates Rated
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… Read More »The [Marketing Data Scientist’s] Search for a Home: Part I
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… Read More »Introduction to Principal Component Analysis