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. I wasnt getting hired as a Data Scientist. So I sought data on who is.
  2. How to Become More Marketable as a Data Scientist
  3. Top Handy SQL Features for Data Scientists
  4. 10 Great Python Resources for Aspiring Data Scientists
  5. Object-oriented programming for data scientists: Build your ML estimator
  6. Advice on building a machine learning career and reading research papers by Prof. Andrew Ng
  7. Nothing but NumPy: Understanding & Creating Neural Networks with Computational Graphs from Scratch
Most Shared
  1. Nothing but NumPy: Understanding & Creating Neural Networks with Computational Graphs from Scratch
  2. Python Libraries for Interpretable Machine Learning
  3. I wasn't getting hired as a Data Scientist. So I sought data on who is.
  4. Why Data Visualization Is The Most Important Skill in a Data Analyst Arsenal
  5. 10 Great Python Resources for Aspiring Data Scientists
  6. Types of Bias in Machine Learning
  7. TensorFlow vs PyTorch vs Keras for NLP

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 )

Get KDnuggets, a leading newsletter on AI, Data Science, and Machine Learning
Sign Up

By subscribing you accept KDnuggets Privacy Policy