KDnuggets Home » News » 2016 » May » News, Features » Top April stories: 10 Essential Books for Data Enthusiast; When Deep Learning is better than SVMs or Random Forests? ( 16:n17 )

Top April stories: 10 Essential Books for Data Enthusiast; When Deep Learning is better than SVMs or Random Forests?


 
 
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Top 10 Essential Books for the Data Enthusiast; 10 Signs Of A Bad Data Scientist; When Does Deep Learning Work Better Than SVMs or Random Forests?; Comprehensive Guide to Learning Python for Data Science and more.


By , KDnuggets.
Here is the most popular KDnuggets content in April - most viewed, most shared, and most viral (see below).

Most viewed

  1. data booksTop 10 Essential Books for the Data Enthusiast
  2. 10 Signs Of A Bad Data Scientist
  3. When Does Deep Learning Work Better Than SVMs or Random Forests?
  4. Comprehensive Guide to Learning Python for Data Analysis and Data Science
  5. Top 15 Frameworks for Machine Learning Experts
  6. New Deep Learning Book Finished, Finalized Online Version Available
  7. A Pocket Guide to Data Science
  8. Top 10 IPython Notebook Tutorials for Data Science and Machine Learning
  9. The Secret to a Perfect Data Science Interview
  10. Basics of GPU Computing for Data Scientists

 
 

Most shared

  1. Convnet architectureWhen Does Deep Learning Work Better Than SVMs or Random Forests? - Apr 22, 2016.
  2. Comprehensive Guide to Learning Python for Data Analysis and Data Science - Apr 20, 2016.
  3. Top 15 Frameworks for Machine Learning Experts - Apr 19, 2016.
  4. New Deep Learning Book Finished, Finalized Online Version Available - Apr 12, 2016.
  5. Top 10 IPython Notebook Tutorials for Data Science and Machine Learning - Apr 22, 2016.
  6. 10 Signs Of A Bad Data Scientist - Apr 6, 2016.
  7. Top 10 Essential Books for the Data Enthusiast - Apr 1, 2016.
  8. A Pocket Guide to Data Science - Apr 11, 2016.
  9. Deep Learning for Internet of Things Using H2O - Apr 6, 2016.
  10. Basics of GPU Computing for Data Scientists - Apr 7, 2016.


Most share-worthy content

(with highest shares/ unique page views)
  1. Automated Machine Learning: Changing the Game
  2. From Science to Data Science, a Comprehensive Guide for Transition
  3. Top 10 IPython Notebook Tutorials for Data Science and Machine Learning
  4. Deep Learning for Internet of Things Using H2O
  5. When Does Deep Learning Work Better Than SVMs or Random Forests?



Top Stories Past 30 Days

Most Popular
  1. 30 Essential Data Science, Machine Learning & Deep Learning Cheat Sheets
  2. Understanding Machine Learning Algorithms
  3. How To Become a 10x Data Scientist, part 1
  4. Introduction to Blockchains & What It Means to Big Data
  5. Python overtakes R, becomes the leader in Data Science, Machine Learning platforms
  6. The 10 Algorithms Machine Learning Engineers Need to Know
  7. Data Science and the Imposter Syndrome
Most Shared
  1. Understanding Machine Learning Algorithms
  2. Introduction to Blockchains & What It Means to Big Data
  3. Top 10 Active Big Data, Data Science, Machine Learning Influencers on LinkedIn, Updated
  4. Using Machine Learning to Predict and Explain Employee Attrition
  5. Keras Cheat Sheet: Deep Learning in Python
  6. XGBoost, a Top Machine Learning Method on Kaggle, Explained
  7. Want to Become a Data Scientist? Read This Interview First

KDnuggets Home » News » 2016 » May » News, Features » Top April stories: 10 Essential Books for Data Enthusiast; When Deep Learning is better than SVMs or Random Forests? ( 16:n17 )