Topics: Coronavirus | AI | Data Science | Deep Learning | Machine Learning | Python | R | Statistics

KDnuggets Home » News » 2019 » Feb » Top Stories, Tweets » Top Stories, Feb 18-24: How to Setup a Python Environment for Machine Learning; Artificial Neural Network Implementation using NumPy ( 19:n09 )

Top Stories, Feb 18-24: How to Setup a Python Environment for Machine Learning; Artificial Neural Network Implementation using NumPy


Also: Running R and Python in Jupyter; What are Some “Advanced” AI and Machine Learning Online Courses?; Python Data Science for Beginners; 6 Books About Open Data Every Data Scientist Should Read



Most Popular Last Week

  1. new ML Setup How to Setup a Python Environment for Machine Learning, by George Seif
  2. new Python Data Science for Beginners, by Saurabh Hooda
  3. decrease 9 Must-have skills you need to become a Data Scientist, updated
  4. new Gainers, Losers, and Trends in Gartner 2019 Magic Quadrant for Data Science and Machine Learning Platforms
  5. new Automatic Machine Learning is broken
  6. new An Introduction to Scikit Learn: The Gold Standard of Python Machine Learning
  7. new Deep Learning for Natural Language Processing (NLP) using RNNs & CNNs

Most Shared Last Week

  1. Numpy"" Artificial Neural Network Implementation using NumPy and Image Classification, by Ahmed Gad - Feb 21, 2019.
  2. Running R and Python in Jupyter, by Asel Mendis - Feb 19, 2019.
  3. How to Setup a Python Environment for Machine Learning - Feb 18, 2019.
  4. What are Some “Advanced” AI and Machine Learning Online Courses? - Feb 22, 2019.
  5. Python Data Science for Beginners - Feb 20, 2019.
  6. 6 Books About Open Data Every Data Scientist Should Read - Feb 20, 2019.
  7. Deep Learning for Natural Language Processing (NLP) – using RNNs & CNNs - Feb 21, 2019.

Most Popular Past 30 Days

  1. increase Your AI skills are worth less than you think
  2. new Data Scientists: Why are they so expensive to hire?
  3. increase 9 Must-have skills you need to become a Data Scientist, updated
  4. new 7 Steps to Mastering Basic Machine Learning with Python 2019 Edition
  5. new Gainers, Losers, and Trends in Gartner 2019 Magic Quadrant for Data Science and Machine Learning Platforms
  6. new The Best and Worst Data Visualizations of 2018
  7. new How to Setup a Python Environment for Machine Learning

Most Shared Past 30 Days

  1. 7 Steps to Mastering Basic Machine Learning with Python — 2019 Edition - Jan 29, 2019.
  2. Artificial Neural Network Implementation using NumPy and Image Classification - Feb 21, 2019.
  3. The Essential Data Science Venn Diagram - Feb 04, 2019.
  4. An Introduction to Scikit Learn: The Gold Standard of Python Machine Learning - Feb 13, 2019.
  5. Data Scientists: Why are they so expensive to hire? - Feb 01, 2019.
  6. Intuitive Visualization of Outlier Detection Methods - Feb 05, 2019.
  7. Understanding Gradient Boosting Machines - Feb 06, 2019.

Sign Up

By subscribing you accept KDnuggets Privacy Policy