Probably the best introduction to machine learning! 100 page machine learning book!

One hundred page machine learning book, is perhaps the best introduction to machine learning I have seen. This is my review of the hundred-page machine learning book by Andriy Burkov.

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[AndriyBurkov]

Wow! What an honor to be featured on this channel. I've always been a big fan Giles' videos. Very calm, short, and to the point, a great mental floss.

[optimizedpran]

This dude is so slick with his surry hills lifestyle and his barbour jackets and his love of knowledge. Proper old school englishman.

[gia-baoha]

I just finished this book last week, and agree with everything you said in the video. And to follow the spirit of 'read first, buy later' encouraged by the book, I bought a hard copy right afterwards as a gift for a close friend of mine. I would describe the book as a short manual that an engineer or a scientist should pick up, who has little experience with machine learning but soon has to work on a project related to the field and needs to communicate with their colleagues whose specialty is ML.
The only complain I have about the book is its matrix notation, with superscript denoting coordinates/features while subscripts denoting layers and units in a neural networks. I don't know if this is common in other ML books, but certainly something that I have to consciously think of when reading the equations.
Edit: The author recently published a second book. I would love to hear your review as well.

[leavonfletcher]

I am going through this book now and it is pure, distilled machine learning. For someone that is not the best at math, Chapter 2 is worth the price of admission alone. Awesome stuff.

[tusharbhatia]

I am obsessed with this channel. His videos are so informative and genuine.

[Neotenyx]

Thank you for info. I started to learn python thanks to you( my first prog. language). And got interested into ML and AI

[seancostello]

Can confirm. A great book. It's a dense 100 pages but full of great content.

[suki]

Your videos are gorgeous dude. I've learned so many things. Thank you so much.

[shrijansamrat]

Love your countryside background ❤❤❤🎉
And content too😊

[dadaabiola]

I see your walking about as a Dataset to really work on in order to predict your next environment featured in your subsequent videos! :) Intro to ML 101

[user_shivshakti_]

Grateful Sir to You. Very very Grateful. Gratitude.🙏🏻🙏🏻🙏🏻

[TheRoeckie]

Already have some basic Python knowledge, but I've the feeling I'm not progressing. Love your very well explained video's so registered for your online course

[jlify]

Very clear and insightful! Every word is so eloquently spoken

[khushimehta]

If you like, can you make a video on how to choose a domain? And at what point in your learning should you start considering learning how the domain works?
Thank you. Great content btw.

[freeman]

The QR codes in the Andriy's books are worth to dive into.

[jeffrey]

I hope you have a playlist of just book reviews. Makes it easier to just run through.

[lakshminarasimmanv]

It seem like amazon's recommendation algorithm works perfectly. Well, its a perfect book for me.

[adiflorense]

I have been read this book a few. this book great

[leavonfletcher]

I will have to pick it up. I am reading Machine Learning for Absolute Beginners by Oliver Theobald, and I have Hands On Machine Learning with Scikit-Leatn, Keeps and TensorFlow by Geron and Approaching (Almost) Any Machine Learning Problem by Thakur in the hopper. I will have to pick that up, though. You cannot have too many good books when you are learning.

[juliensoyer]

love what you do, and hate it at the same time, I spend so much on the books you recommend 😂