KDnuggets Home » News » 2018 » Apr » Top Stories, Tweets » Top Stories, Apr 23-29: Blockchain Explained in 7 Python Functions; Building Convolutional Neural Network using NumPy from Scratch ( 18:n18 )

Top Stories, Apr 23-29: Blockchain Explained in 7 Python Functions; Building Convolutional Neural Network using NumPy from Scratch


 
 
Tags:

Also: Choosing the Right Metric for Evaluating Machine Learning Models – Part 1; Top 16 Open Source Deep Learning Libraries and Platforms; Data Science Interview Guide; Why so many data scientists are leaving their jobs


Most Popular Last Week

  1. new Why so many data scientists are leaving their jobs, by Jonny Brooks
  2. new Blockchain Blockchain Explained in 7 Python Functions, by Tom Cusack
  3. new Python Regular Expressions Cheat Sheet
  4. new Key Algorithms and Statistical Models for Aspiring Data Scientists
  5. new 7 Books to Grasp Mathematical Foundations of Data Science and Machine Learning
  6. decrease Top 20 Python AI and Machine Learning Open Source Projects
  7. new Top 16 Open Source Deep Learning Libraries and Platforms

Most Shared Last Week

  1. Blockchain Explained in 7 Python Functions, by Tom Cusack - Apr 27, 2018.
  2. CNNs Building Convolutional Neural Network using NumPy from Scratch, by Ahmed Gad - Apr 26, 2018.
  3. Choosing the Right Metric for Evaluating Machine Learning Models – Part 1 - Apr 27, 2018.
  4. Top 16 Open Source Deep Learning Libraries and Platforms - Apr 24, 2018.
  5. Data Science Interview Guide - Apr 25, 2018.
  6. The Dirty Little Secret Every Data Scientist Knows (but won’t admit) - Apr 26, 2018.
  7. Implementing Deep Learning Methods and Feature Engineering for Text Data: The GloVe Model - Apr 25, 2018.

Most Popular Past 30 Days

  1. new Why so many data scientists are leaving their jobs
  2. new Top 20 Deep Learning Papers, 2018 Edition
  3. new Top 8 Free Must-Read Books on Deep Learning
  4. increase Top 20 Python AI and Machine Learning Open Source Projects
  5. new How Do I Get My First Data Science Job?
  6. new Key Algorithms and Statistical Models for Aspiring Data Scientists
  7. new Python Regular Expressions Cheat Sheet

Most Shared Past 30 Days

  1. 7 Books to Grasp Mathematical Foundations of Data Science and Machine Learning - Apr 17, 2018.
  2. Top 8 Free Must-Read Books on Deep Learning - Apr 10, 2018.
  3. Top 20 Deep Learning Papers, 2018 Edition - Apr 03, 2018.
  4. Python Regular Expressions Cheat Sheet - Apr 19, 2018.
  5. Why so many data scientists are leaving their jobs - Apr 09, 2018.
  6. Ten Machine Learning Algorithms You Should Know to Become a Data Scientist - Apr 11, 2018.
  7. Blockchain Explained in 7 Python Functions - Apr 27, 2018.



Top Stories Past 30 Days

Most Popular
  1. Why so many data scientists are leaving their jobs
  2. Key Algorithms and Statistical Models for Aspiring Data Scientists
  3. Data Science vs Machine Learning vs Data Analytics vs Business Analytics
  4. Blockchain Explained in 7 Python Functions
  5. 8 Useful Advices for Aspiring Data Scientists
  6. Boost your data science skills. Learn linear algebra.
  7. 2018 KDnuggets Poll: What software you used for Analytics, Data Mining, Data Science, Machine Learning projects in the past 12 months?
Most Shared
  1. 2018 KDnuggets Poll: What software you used for Analytics, Data Mining, Data Science, Machine Learning projects in the past 12 months?
  2. Blockchain Explained in 7 Python Functions
  3. Choosing the Right Metric for Evaluating Machine Learning Models – Part 1
  4. Boost your data science skills. Learn linear algebra.
  5. 50+ Useful Machine Learning & Prediction APIs, 2018 Edition
  6. WTF is a Tensor?!?
  7. 5 Reasons “Logistic Regression” should be the first thing you learn when becoming a Data Scientist

KDnuggets Home » News » 2018 » Apr » Top Stories, Tweets » Top Stories, Apr 23-29: Blockchain Explained in 7 Python Functions; Building Convolutional Neural Network using NumPy from Scratch ( 18:n18 )