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?
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