KDnuggets Home » News » 2017 » Jun » News, Features » Top Stories, Jun 12-18: Top 15 Python Libraries for Data Science in 2017; Deep Learning Papers Reading Roadmap ( 17:n24 )

Top Stories, Jun 12-18: Top 15 Python Libraries for Data Science in 2017; Deep Learning Papers Reading Roadmap


 
 
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Top 15 Python Libraries for Data Science in 2017; Deep Learning Papers Reading Roadmap; The Practical Importance of Feature Selection; Understanding Deep Learning Requires Re-thinking Generalization; K-means Clustering with Tableau


Most Popular Last Week

  1. new Matplotlib commits Top 15 Python Libraries for Data Science in 2017, by Igor Bobriakov
  2. new 6 Interesting Things You Can Do with Python on Facebook Data, by Nour Galaby
  3. new Deep Learning Papers Reading Roadmap
  4. decrease The 10 Algorithms Machine Learning Engineers Need to Know
  5. new Data Scientist: Learn the Skills you need for free
  6. increase 10 Free Must-Read Books for Machine Learning and Data Science
  7. new Is Regression Analysis Really Machine Learning?

Most Shared Last Week

  1. Deep Learning Roadmap Deep Learning Papers Reading Roadmap, by Flood Sung - Jun 13, 2017.
  2. Top 15 Python Libraries for Data Science in 2017, by Igor Bobriakov - Jun 13, 2017.
  3. The Practical Importance of Feature Selection - Jun 12, 2017.
  4. Understanding Deep Learning Requires Re-thinking Generalization - Jun 16, 2017.
  5. K-means Clustering with Tableau – Call Detail Records Example - Jun 16, 2017.
  6. 7 Ways to Get High-Quality Labeled Training Data at Low Cost - Jun 13, 2017.
  7. Medical Image Analysis with Deep Learning, Part 3 - Jun 15, 2017.

Most Popular Past 30 Days

  1. new Machine Learning Workflows in Python from Scratch Part 1: Data Preparation
  2. increase The 10 Algorithms Machine Learning Engineers Need to Know
  3. new Top 15 Python Libraries for Data Science in 2017
  4. increase 10 Free Must-Read Books for Machine Learning and Data Science
  5. new New Leader, Trends, and Surprises in Analytics, Data Science, Machine Learning Software Poll
  6. new 6 Interesting Things You Can Do with Python on Facebook Data
  7. new 7 Steps to Mastering Data Preparation with Python

Most Shared Past 30 Days

  1. New Leader, Trends, and Surprises in Analytics, Data Science, Machine Learning Software Poll - May 22, 2017.
  2. Which Machine Learning Algorithm Should I Use? - Jun 01, 2017.
  3. 7 Steps to Mastering Data Preparation with Python - Jun 02, 2017.
  4. Must-Know: What are common data quality issues for Big Data and how to handle them? - May 16, 2017.
  5. Machine Learning Workflows in Python from Scratch Part 1: Data Preparation - May 29, 2017.
  6. Deep Learning Papers Reading Roadmap - Jun 13, 2017.
  7. Top 15 Python Libraries for Data Science in 2017 - Jun 13, 2017.



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
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  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 » 2017 » Jun » News, Features » Top Stories, Jun 12-18: Top 15 Python Libraries for Data Science in 2017; Deep Learning Papers Reading Roadmap ( 17:n24 )