# 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