Top Stories, Jul 15-21: The Death of Big Data and the Emergence of the Multi-Cloud Era; Bayesian deep learning and near-term quantum computers

Also: Dealing with categorical features in machine learning; Computer Vision for Beginners: Part 1; Big Data for Insurance; A Summary of DeepMind's Protein Folding Upset at CASP13; The Hackathon Guide for Aspiring Data Scientists



Most Popular Last Week

  1. new Death of Big Data The Death of Big Data and the Emergence of the Multi-Cloud Era, by Hyoun Park
  2. new A Summary of DeepMind's Protein Folding Upset at CASP13, by Kevin Vu
  3. new Bayesian deep learning and near-term quantum computers: A cautionary tale in quantum machine learning
  4. new The Hackathon Guide for Aspiring Data Scientists
  5. new Top 10 Data Science Leaders You Should Follow
  6. new Dealing with categorical features in machine learning
  7. new The Evolution of a ggplot

Most Shared Last Week

  1. Bayesian deep learning and near-term quantum computers: A cautionary tale in quantum machine learning, by Peter Wittek - Jul 19, 2019.
  2. Dealing with categorical features in machine learning, by Hugo Ferreira - Jul 16, 2019.
  3. Computer Vision for Beginners: Part 1 - Jul 17, 2019.
  4. Big Data for Insurance - Jul 18, 2019.
  5. Things I Have Learned About Data Science - Jul 16, 2019.
  6. Secrets to a Successful Data Science Interview - Jul 15, 2019.
  7. The Evolution of a ggplot - Jul 18, 2019.

Most Popular Past 30 Days

  1. new The Death of Big Data and the Emergence of the Multi-Cloud Era
  2. new Top 10 Data Science Leaders You Should Follow
  3. new 5 Probability Distributions Every Data Scientist Should Know
  4. new Understanding Cloud Data Services
  5. decrease 5 Useful Statistics Data Scientists Need to Know
  6. new 7 Steps to Mastering Data Preparation for Machine Learning with Python 2019 Edition
  7. decrease 9 Must-have skills you need to become a Data Scientist, updated

Most Shared Past 30 Days

  1. The Death of Big Data and the Emergence of the Multi-Cloud Era - Jul 11, 2019.
  2. 7 Steps to Mastering Data Preparation for Machine Learning with Python — 2019 Edition - Jun 24, 2019.
  3. NLP vs. NLU: from Understanding a Language to Its Processing - Jul 03, 2019.
  4. Whats wrong with the approach to Data Science? - Jul 10, 2019.
  5. Training a Neural Network to Write Like Lovecraft - Jul 11, 2019.
  6. Understanding Cloud Data Services - Jun 24, 2019.
  7. How To Get Funding For AI Startups - Jun 27, 2019.