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KDnuggets Home » News » 2018 » Mar » Top Stories, Tweets » Top KDnuggets tweets, Feb 28 – Mar 6: How to build a #deeplearning model in 15 minutes ( 18:n11 )

Top KDnuggets tweets, Feb 28 – Mar 6: How to build a #deeplearning model in 15 minutes


 
 
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Also: Introduction to Functional Programming in #Python; 5 Quick and Easy #DataVisualization in #Python with Code; Predicting the 2018 #Oscar Winners with #MachineLearning; #Keras implementations of Generative Adversarial Networks


Most popular @KDnuggets tweets for Feb 28 - Mar 6 were:

Most Retweeted, Favorited, Viewed & Clicked:
How to build a #deeplearning model in 15 minutes https://t.co/SkF5nOdxl7 https://t.co/2lOTaW3tF8

Tweet image

Top 10 most engaging Tweets
  1. How to build a #deeplearning model in 15 minutes https://t.co/SkF5nOdxl7 https://t.co/2lOTaW3tF8
  2. Introduction to Functional Programming in #Python https://t.co/QughMWvlkX https://t.co/Dqp9YM96dT
  3. 5 Quick and Easy #DataVisualization in #Python with Code https://t.co/PNy0FlIWDA #dataviz https://t.co/2GASltDeMM
  4. Predicting the 2018 #Oscar Winners with #MachineLearning: Shape Of Water for Best Picture, Guillermo del Toro - Best Director, Frances McDormand - Best Actress, Gary Oldman - Best Actor @bigmlcom https://t.co/pxvxaDIcYw https://t.co/sI3PrBk2zx
  5. #Keras implementations of Generative Adversarial Networks https://t.co/sdDEvgTbbo #Python #NeuralNetworks https://t.co/OMkBnoGd0y
  6. Gainers and Losers in Gartner 2018 Magic Quadrant for #DataScience and #MachineLearning Platforms https://t.co/egb0y9T86o https://t.co/jgjERgKdbz
  7. Random Initialization For #NeuralNetworks : A Thing Of The Past https://t.co/nCoAncSKOh https://t.co/3IsSEOzslf
  8. How to Survive Your #DataScience Interview https://t.co/eWEGKX7jEX https://t.co/A6AIEBhWZs
  9. The Race For #AI heats up: Google, Apple, Facebook, Amazon, Intel, Microsoft In A Rush To Grab #ArtificialIntelligence #Startups @CBinsights https://t.co/B6ER9zu52N https://t.co/QJSJNVWduW
  10. Why #DeepLearning Works – Artificial Understanding https://t.co/BB1Bmibspc https://t.co/xv9Wm6EAqP



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