Difference between AI vs ML vs DL...

Elon and Jack Ma, AI conference last day...

One of the most common questions people ask is which IDE/environment/ tool to use while working on your data science/AI projects. As you would expect, there is no dearth of options available – from language-specific IDEs like R Studio, PyCharm to editors like Sublime Text or Atom – the choice can be intimidating for a beginner.

If there is one tool that every data scientist should use or must be comfortable with, it is Jupyter Notebooks. Jupyter Notebooks are powerful, versatile, shareable and provide the ability to perform data visualization in the same environment. Jupyter Notebooks allow to create and share documents, from codes to full-blown reports and most important is that its Open-Source. so sharing official Jupyter Notebook Documentation

Machine Learning Yearning An Amazing Book By Andrew Ng
Machine Learning and Deep Learning are growing at a faster pace. According to MIT, in the upcoming future, about 8.5 out of every 10 sectors will be somehow based on AI and if you are the one who is looking to get in this field or have a basic understanding about it and want to be an expert “Machine Learning Yearning” a book by Andrew Y. Ng is your key.

Andrew Y. Ng is a prestige name in the field of machine learning. He is a co-founder of Coursera, associate professor at Stanford University’s Computer Science and EE departments, Baidu’s Chief Scientist and a former head of Google Brain. Machine Learning Yearning is the current work of Andrew Ng to teach students how to structure machine learning projects. So here we are come up with its draft copy for absolutely free.

In my opinion, Machine Learning Yearning book is a beautiful representation of a genius brain whose owner is Andrew Ng and what he had learned in his whole career. Machine Learning Yearning is not a book that came wrapped with lots of machine learning mathematics. When I read this book I found that it is not a book for someone who is interested in machine learning research and is looking for a mathematically rigorous introduction to machine learning. Basically, you won’t find heavy math, deep theory in it.

It is a book that can fit anyone who has a basic understanding of machine learning and what it actually does, having a piece of good knowledge about the programming language that he will use for ML will really help him to absorb Machine Learning Yearning fastly. Machine Learning Yearning is also very helpful for data scientists to understand how to set technical directions for a machine learning project.
Happy Machine Learning!!
Keep learning!!😊

https://youtu.be/yYtYiM0nTZ4
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