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. Python eats away at R: Top Software for Analytics, Data Science, Machine Learning in 2018: Trends and Analysis
  2. 10 More Free Must-Read Books for Machine Learning and Data Science
  3. A Beginners Guide to the Data Science Pipeline
  4. Data Science vs Machine Learning vs Data Analytics vs Business Analytics
  5. Why so many data scientists are leaving their jobs
  6. The 6 components of Open-Source Data Science/ Machine Learning Ecosystem; Did Python declare victory over R?
  7. DIY Deep Learning Projects
Most Shared
  1. Python eats away at R: Top Software for Analytics, Data Science, Machine Learning in 2018: Trends and Analysis
  2. 10 More Free Must-Read Books for Machine Learning and Data Science
  3. Top 20 R Libraries for Data Science in 2018
  4. Data Lake – the evolution of data processing
  5. A Beginners Guide to the Data Science Pipeline
  6. ETL vs ELT: Considering the Advancement of Data Warehouses
  7. The 6 components of Open-Source Data Science/ Machine Learning Ecosystem; Did Python declare victory over R?

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 )