KDnuggets Home » News » 2016 » Feb » News, Features » Top stories for Jan 31 – Feb 6: Data scientists keep forgetting the one rule; Apache Spark: RDD, DataFrame or Dataset? ( 16:n05 )

Top stories for Jan 31 – Feb 6: Data scientists keep forgetting the one rule; Apache Spark: RDD, DataFrame or Dataset?


 
 
Tags:

20 Q to Detect Fake Data Scientists; TensorFlow Disappoints - Google Deep Learning falls shallow; Data scientists keep forgetting the one rule; Apache Spark: RDD, DataFrame or Dataset?


Most viewed news items

  1. 20 Questions to Detect Fake Data Scientists
  2. TensorFlowTensorFlow Disappoints - Google Deep Learning falls shallow
  3. R vs Python for Data Science: The Winner is ...
  4. 7 Steps to Mastering Machine Learning With Python
  5. 9 Must-Have Skills You Need to Become a Data Scientist
  6. Top 10 Data Analysis Tools for Business
  7. Businesses Will Need One Million Data Scientists by 2018



 
 

Most shared

  1. Data scientists keep forgetting the one rule - Feb 2, 2016.
  2. Apache Spark: RDD, DataFrame or Dataset? - Feb 3, 2016.
  3. Four Major Predictions for Predictive Analytics and Big Data in 2016 - Feb 2, 2016.
  4. AI Supercomputers: Microsoft Oxford, IBM Watson, Google DeepMind, Baidu Minwa - Feb 1, 2016.
  5. Peering into the Black Box and Explainability - Feb 2, 2016.
  6. Money does buy votes, unless you are Jeb Bush - Feb 3, 2016.
  7. Deeper LearningCartoon: Deeper Deep Learning - Feb 1, 2016.



Top Stories Past 30 Days

Most Popular
  1. A Step-by-Step Guide to Transitioning your Career to Data Science — Part 1
  2. 7 Steps to Mastering SQL for Data Science — 2019 Edition
  3. 7 Steps to Mastering Intermediate Machine Learning with Python — 2019 Edition
  4. If you're a developer transitioning into data science, here are your best resources
  5. 9 Must-have skills you need to become a Data Scientist, updated
  6. How to choose a visualization
  7. The 3 Biggest Mistakes on Learning Data Science
Most Shared
  1. Python leads the 11 top Data Science, Machine Learning platforms: Trends and Analysis
  2. A Step-by-Step Guide to Transitioning your Career to Data Science — Part 1
  3. 7 Steps to Mastering Intermediate Machine Learning with Python — 2019 Edition
  4. Jupyter Notebooks: Data Science Reporting
  5. Random Forests vs Neural Networks: Which is Better, and When?
  6. Top 10 Statistics Mistakes Made by Data Scientists
  7. The Data Fabric for Machine Learning — Part 1

KDnuggets Home » News » 2016 » Feb » News, Features » Top stories for Jan 31 – Feb 6: Data scientists keep forgetting the one rule; Apache Spark: RDD, DataFrame or Dataset? ( 16:n05 )

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

By subscribing you accept KDnuggets Privacy Policy