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Home Data Science

Weekly Digest, October 7

October 7, 2019
in Data Science
Weekly Digest, October 7
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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 

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  • 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
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  • Question: Recommendation on a data visualization book

Featured Articles

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  • Faster Innovation and Development with a Full-Stack AI Strategy
  • Design Principles for Big Data Performance
  • Top 6 Data Science Use Cases in Design
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  • 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 + 

To make sure you keep getting these emails, please add  mail@newsletter.datasciencecentral.com to your address book or whitelist us. To subscribe, click here. Follow us: Twitter | Facebook.


Credit: Data Science Central By: Vincent Granville

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