Weekly Digest, October 29

Weekly Digest, October 29


Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for the picture of the week.
Featured Resources and Technical Contributions 

Top Data Analysis Books and Videos to become an Expert in Data 
Essential Math for Data Science 
29 Statistical Concepts Explained in Simple English – Part 1
One Trillion Random Digits 
5 Minute Analysis: Olympics, Rising Competition and Equality 
The Math Behind Machine Learning 
Use case of Machine Learning in Clean Energy Sector 
K-means: A step towards Marketing Mix Modeling 
Prediction at Scale with scikit-learn and PySpark Pandas 
AlexNet Implementation Using Keras 
Anomaly/Outlier Detection using Local Outlier Factors 
Question: Predictive Model Biasing the Target Variable? 

Featured Articles

Top 25 Mistakes Corporates Make in their Advanced Analytics Program 
Data Science “Paint by the Numbers” with the Hypothesis Development Canvas +
Critical Thinking and Becoming “Students of Data Science” 
The Case for Just Getting Your Feet Wet with AI 
Why Organisations Nowadays Want an Analytics Platform 
Why do people with no experience want to become data scientists? 
Why is Becoming a Data Scientist so Difficult? 
Business Problems and Data Science Solutions – Part 1
Should Python Become Your Official Corporate Language – Along With English?
Creating a Culture that Works for Data Science and Engineering 
Facial Recognition and its Applications 
A Research Data Scientist Explains ‘Deep Learning’ 
A Data Scientist’s Guide to an Efficient Project Lifecycle 

Picture of the Week

Source for picture: contribution marked with a + 
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Link: Weekly Digest, October 29