Andrew NG Contribution to AI – Lectures, Interviews

This post is aimed at listing down some of the great work that Andrew NG has done in the field of AI (Machine Learning, Deep Learning etc):

• Courses
  • Deep learning specialization course
  • Machine learning course on Coursera
  • Machine learning 112 lectures on Youtube
• Publications and Research Projects
  • AI publications by Andrew NG
  • Research projects in recent past
• Books recommended by Andrew NG in relation to his course: Artificial intelligence – Principles and Techniques
  • Artificial intelligence – A modern approach (Russell and Norvig)
  • Probabilistic graphical models (Koller and Friedman)
  • An introduction to reinforcement learning (Sutton and Barto)
  • The elements of statistical learning (Hastie, Tibshirani, and Friedman)
  • Foundations of constraint satisfaction (Tsang)
• Artificial intelligence is the new electricity
  
• Deep learning, self-taught learning, and unsupervised future learning
  
• Nuts and Bolts of applying deep learning
  
• Why should you care about deep learning?
  

• Author
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Ajitesh Kumar

I have been recently working in the area of Data analytics including Data Science and Machine Learning / Deep Learning and BI. I would love to connect with you on Linkedin.
Check out my books titled as Designing Decisions, and First Principles Thinking.

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