Goto

Collaborating Authors

6 Key Concepts in Andrew Ng's "Machine Learning Yearning"

#artificialintelligence

Machine Learning Yearning is about structuring the development of machine learning projects. The book contains practical insights that are difficult to find somewhere else, in a format that is easy to share with teammates and collaborators. Most technical AI courses will explain to you how the different ML algorithms work under the hood, but this book teaches you how to actually use them. If you aspire to be a technical leader in AI, this book will help you on your way. Historically, the only way to learn how to make strategic decisions about AI projects was to participate in a graduate program or to gain experience working at a company.


6 Key Concepts in Andrew NG's "Machine Learning Yearning" 7wData

#artificialintelligence

If you are diving into AI and Machine Learning, Andrew Ng's book is a great place to start. Learn about six important concepts covered to better understand how to use these tools from one of the field's best practitioners and teachers. Machine Learning Yearning is about structuring the development of machine learning projects. The book contains practical insights that are difficult to find somewhere else, in a format that is easy to share with teammates and collaborators. Most technical AI courses will explain to you how the different ML algorithms work under the hood, but this book teaches you how to actually use them.


7 Useful Suggestions from Andrew Ng "Machine Learning Yearning"

#artificialintelligence

AI, Machine Learning, and Deep Learning are rapidly evolving and transforming many industries. Andrew Y. Ng is one of the leading minds in the field - he is a co-Founder of Coursera, former head of Baidu AI Group, and a former head of Google Brain. He is writing a book, "Machine Learning Yearning" (you can get a free draft copy), to teach you how to structure Machine Learning projects. This book is focused not on teaching you ML algorithms, but on how to make ML algorithms work. Some technical AI classes will give you a hammer; this book teaches you how to use the hammer.


Machine Learning Yearning, Memeified.

#artificialintelligence

Welcome to the first edition of Memeified AI! Memeifieid AI summarizes important works in the AI field as memes and tweets, so that busy people can get a sense of what's inside. The titles shown in bold are straight from Andrew's book. The memes and tweetish summaries are mine, so any errors are clearly me just thinking unclearly. For the curious, I also provide a 20-minute talk with Q&A if your group is into that sort of thing. Before we get started, I thought I'd share a personal story about how these memefieid posts came about, so you can understand the source of my madness.


Deep Learning Specialization by Andrew Ng – 21 Lessons Learned

@machinelearnbot

I recently completed all available material (as of October 25, 2017) for Andrew Ng's new deep learning course on Coursera. I found all 3 courses extremely useful and learned an incredible amount of practical knowledge from the instructor, Andrew Ng. Ng does an excellent job of filtering out the buzzwords and explaining the concepts in a clear and concise manner. For example, Ng makes it clear that supervised deep learning is nothing more than a multidimensional curve fitting procedure and that any other representational understandings, such as the common reference to the human biological nervous system, are loose at best. The specialization only requires basic linear algebra knowledge and basic programming knowledge in Python.