Data Science Central Thursday Digest, March 21

Data Science Central Thursday Digest, March 21

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


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
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Link: Data Science Central Thursday Digest, March 21