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Home Data Science

Data Science Central Thursday Digest, March 21

March 21, 2019
in Data Science
Data Science Central Thursday Digest, March 21
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Credit: Data Science Central

You will find here our selection of featured articles and resources posted since Monday. 

You might also like

How Machine Learning Discretely Assists Data Scientists

A Plethora of Machine Learning Articles: Part 1

AI Chatbot Platforms: The Best in the Market and Why to Consider

Resources and Tutorials

  • Fascinating New Results in the Theory of Randomness +
  • Determining Sample Size in One Picture 
  • Training for Context: The Importance of Word2Vec 
  • March Madness, KenPom and Python/Pandas. 
  • 10 Open Datasets for Deep Learning Every Data Scientist Must Work With 
  • Visualizing Gender Discrepancies in Hi-Tech, Engineering, and Science 
  • Bias Variance Trade Off 

Articles

  • Can we fix Smart City deployments using AI, Cloud and Video? 
  • Is Robotic Process Automation (RPA) Really AI? 
  • Using Data Science and Google Cloud to Win March Madness… 
  • Summary from Gartner Data & Analytics Summit London 2019 
  • How Salesforce Lightning can Empower Your Business 
  • Top 8 Data Science Use Cases in Manufacturing 
  • Can Lack of Data Always Provide Valuable Insights? 

Source for picture: article flagged with a +

Other DSC Resources

  • Free Book and Resources for DSC Members
  • New Perspectives on Statistical Distributions and Deep Learning
  • Time series, Growth Modeling and Data Science Wizardy
  • Statistical Concepts Explained in Simple English
  • Machine Learning Concepts Explained in One Picture
  • Comprehensive Repository of Data Science and ML Resources
  • Advanced Machine Learning with Basic Excel
  • Difference between ML, Data Science, AI, Deep Learning, and Statistics
  • Selected Business Analytics, Data Science and ML articles
  • How to Automatically Determine the Number of Clusters in your Data
  • Fascinating New Results in the Theory of Randomness
  • Hire a Data Scientist | Search DSC | Find a Job
  • Post a Blog | Forum Questions

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Credit: Data Science Central By: Vincent Granville

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