Weekly Digest, September 4

Weekly Digest, September 4

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

Bayesian Kalman Filter to predict positions of moving objects +
How to Make the Leap from Excel to SQL 
How can R Users Learn Python for Data Science ? 
Cross-Validation: Concept and Example in R 
Data Science Simplified Part 9: Interactions and Limitations of Regression Models 
Linear regression in Python: Use of numpy, scipy, and statsmodels 
A Tutorial to Tree Based Modeling in R 
Contingency Tables in R 
GRU implementation in TensorFlow 
Comprehensive Repository of Data Science and ML Resources 

Featured Articles

Design Thinking: Future-proof Yourself from AI 
How to Spot Visualization Lies 
Machine Learning – The brain of Digital Transformation 
Machine Learning in FinTech – Demystified 
Python Overtakes R for Data Science and Machine Learning 
Reinforcement Learning: Challenges & Considerations 
Why Cognitive Systems should combine Machine Learning with Semantic Technologies 
A Standard to build Knowledge Graphs: 12 Facts about SKOS 
Judgements: A Potential Threat To Models Everywhere 
The Triple-layered Reporting Architecture 
Top Graphical Models Applications in Real World 
Data and Analytics; Don’t Trust Numbers Blindly 

Picture of the Week

Source for picture: contribution marked with a +

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Link: Weekly Digest, September 4