HackerNews Readings: Grokking Deep Learning

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Designing Distributed Systems: Patterns and Paradigms for Scalable, Reliable Services

Brendan Burns

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9 HN comments

High Performance Python: Practical Performant Programming for Humans

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JavaScript: The Definitive Guide: Master the World's Most-Used Programming Language

David Flanagan

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Kubernetes in Action

Marko Luksa

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Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are

Seth Stephens-Davidowitz, Timothy Andrés Pabon, et al.

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Mathematics for Machine Learning

Marc Peter Deisenroth

4.7 on Amazon

7 HN comments

The Hundred-Page Machine Learning Book

Andriy Burkov

4.6 on Amazon

7 HN comments

Grokking Deep Learning

Andrew Trask

4.5 on Amazon

7 HN comments

Eating Animals

Jonathan Safran Foer

4.7 on Amazon

7 HN comments

Fundamentals of Database Systems

Ramez Elmasri and Shamkant Navathe

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Software Design for Flexibility: How to Avoid Programming Yourself into a Corner

Chris Hanson and Gerald Jay Sussman

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7 HN comments

Invent Your Own Computer Games with Python

Al Sweigart

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7 HN comments

Implementing Domain-Driven Design

Vaughn Vernon

4.5 on Amazon

7 HN comments

Math for Programmers: 3D graphics, machine learning, and simulations with Python

Paul Orland

4.9 on Amazon

7 HN comments

Digital Gold: Bitcoin and the Inside Story of the Misfits and Millionaires Trying to Reinvent Money

Nathaniel Popper

4.6 on Amazon

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cullinaponJuly 24, 2020

Grokking deep learning is an awesome book!

DoofWarrioronNov 16, 2019

Hey, author of the linked post here

The only other book I can think of is Andrew Trask's Grokking Deep Learning, but that book has many fundamental mistakes that I can't recommend it to anyone.

e19293001onNov 22, 2019

Grokking Deep Learning - while it teaches the very basics of deep learning, it claims to teach you basic PyTorch at the end of the book.

https://www.manning.com/books/grokking-deep-learning

ReDeiPirationAug 12, 2019

1. Grokking Deep Learning (Andrew W. Trask) and Neural Networks and Deep Learning (Michael Nielsen)

2. I'll probably be off-point here, but maybe The Book of Why (Judea Pearl) could be interesting reading for you.

FloydHub has a great article about this topic on their blog:
https://blog.floydhub.com/best-deep-learning-books-updated-f....

e19293001onApr 20, 2017

The book "Grokking Deep Learning"[0] which is currently under construction promises you that you'll learn how to build an A.I. that can (and even better than you) play Atari. Though there has been a slow progress but I'm keeping up my faith on it.

[0]https://www.manning.com/books/grokking-deep-learning

krimuthuonJune 2, 2020

You should take a look at Grokking Deep Learning[1] by Andrew Trask. Its one of the few books on Deep Learning which a student with high school mathematics knowledge can read and understand. DL is about programming the computer so its expected you would be able to write code using python.

[1]: https://www.manning.com/books/grokking-deep-learning

e19293001onJan 9, 2017

I've been following this book[0] Grokking Deep Learning. This isn't finished yet but in active development. I like the style of explanation. As of now, I've learned how to create a very simple neural network, a neural network with three input vectors and a very simple deep neural network with three input vectors - 4 hidden size - 1 output. I'm still looking forward for the next MEAP releases and my goal is to understand image deep learning for me to apply on my day job regarding image processing.

[0] - https://www.manning.com/books/grokking-deep-learning