KDnuggets Home » News » 2016 » Feb » News, Features » Top January stories: 20 Questions to Detect Fake Data Scientists, Machine Intelligence vs. Machine Learning vs. Deep Learning vs. AI ( 16:n05 )

Top January stories: 20 Questions to Detect Fake Data Scientists, Machine Intelligence vs. Machine Learning vs. Deep Learning vs. AI


20 Questions to Detect Fake Data Scientists; What Is Machine Intelligence Vs. Machine Learning Vs. Deep Learning Vs. Artificial Intelligence (AI)? 7 Common Data Science Mistakes and How to Avoid Them; What questions can data science answer?



Most viewed stories in January

  1. Fake Unicorn20 Questions to Detect Fake Data Scientists
  2. R vs Python for Data Science: The Winner is ...
  3. TensorFlow Disappoints - Google Deep Learning falls shallow
  4. 9 Must-Have Skills You Need to Become a Data Scientist
  5. 7 Steps to Mastering Machine Learning With Python
  6. TensorFlow is Terrific - A Sober Take on Deep Learning Acceleration
  7. Top 20 Python Machine Learning Open Source Projects
  8. Top 10 Data Analysis Tools for Business
  9. 5 More arXiv Deep Learning Papers, Explained
  10. Top 10 Machine Learning Projects on Github

 
 

Most shared

  1. 20 Questions to Detect Fake Data Scientists
  2. Light BulbWhat Is Machine Intelligence Vs. Machine Learning Vs. Deep Learning Vs. Artificial Intelligence (AI)?
  3. 7 Common Data Science Mistakes and How to Avoid Them
  4. What questions can data science answer?
  5. Businesses Will Need One Million Data Scientists by 2018
  6. Yahoo Releases the Largest-ever Machine Learning Dataset for Researchers
  7. What To Expect from Deep Learning in 2016 and Beyond
  8. 5 More arXiv Deep Learning Papers, Explained
  9. Research Leaders on Data Mining, Data Science and Big Data key advances, top trends
  10. Three Simple Resolutions to Design Better DataViz