Weekly Digest, October 7

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. To subscribe, follow this link.  

Featured Resources and Technical Contributions 

• Free Book: A Comprehensive Guide to Machine Learning (Berkeley University)
• How exactly do you determine causation?
• Significance Level vs Confidence level vs Confidence Interval
• Introduction and New Open-sourced Tool for Tableau
• Surprising Uses of Synthetic Random Data Sets +
• Visualizing AWS Cost and Usage with Amazon Athena and QuickSight
• Basics of Hive and Impala for Beginners
• Entanglish, a Python Library for Quantum Entanglement
• Question: Recommendation on a data visualization book

Featured Articles

• Digital Transformation: Preparing your Organization for a World of Constant Change
• Faster Innovation and Development with a Full-Stack AI Strategy
• Design Principles for Big Data Performance
• Top 6 Data Science Use Cases in Design
• Is there a difference between open and public data?
• How to Create a Chatbot to Fit Your Needs and Budget
• Web scraping and Analytics for the Media and Entertainment industry
• Want to be data-driven? Better start thinking about DataOps
• Making Sense of the Wild World of Hadoop
• How Artificial Intelligence Will Affect Design In Future

Picture of the Week

Source: article flagged with a + 

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Credit: Data Science Central By: Vincent Granville