本书为公版书，为不受著作权法限制的作家、艺术家及其它人士发布的作品，供广大读者阅读交流。汇聚授权电子版权。

本书为公版书，为不受著作权法限制的作家、艺术家及其它人士发布的作品，供广大读者阅读交流。汇聚授权电子版权。

I am writing this book because I had a hard time learning Haskell. It doesn't have to be that way. I've spent the last couple years actively teaching Haskell online and in person. Along the way, I started keeping notes on exercises and methods of teaching specific concepts and techniques in Haskell that eventually turned into my guide for learning haskell. That experience led m...(展开全部)

本书为公版书，为不受著作权法限制的作家、艺术家及其它人士发布的作品，供广大读者阅读交流。汇聚授权电子版权。

To really learn data science, you should not only master the tools—data science libraries, frameworks, modules, and toolkits—but also understand the ideas and principles underlying them. Updated for Python 3.6, this second edition of Data Science from Scratch shows you how these tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics...(展开全部)

This book will provide a solid foundation in how Deep Learning works so that no concept you learn or project you do in the field will seem daunting after this. We will walk the reader through how to implement multi-layer neural networks, implementing convolutional neural networks and recurrent neural networks from scratch. Using these as building blocks, readers will learn to t...(展开全部)

Book Description I'm getting more done in less time, but where are the rich relationships, the inner peace, the balance, the confidence that I'm doing what matters most and doing it well? Does this nagging question haunt you, even when you feel you are being your most efficient? If so, First Things First can help you understand why so often our first things aren't first. Ra...(展开全部)

First published 1967 Twenty fourth impressions 1977

In the early days of computer science, the interactions of hardware, software, compilers, and operating system were simple enough to allow students to see an overall picture of how computers worked. With the increasing complexity of computer technology and the resulting specialization of knowledge, such clarity is often lost. Unlike other texts that cover only one aspect of the...(展开全部)

In the early days of computer science, the interactions of hardware, software, compilers, and operating system were simple enough to allow students to see an overall picture of how computers worked. With the increasing complexity of computer technology and the resulting specialization of knowledge, such clarity is often lost. Unlike other texts that cover only one aspect of the...(展开全部)