The Hundred-Page Machine Learning Book 在線電子書 圖書標籤: MachineLearning 計算機 機器學習 數據科學 計算機科學 經典 軟件開發 軟件工程
發表於2024-12-23
The Hundred-Page Machine Learning Book 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024
讀完瞭英文版第一反應,那群算法工程師真的這麼多都會嗎,大傢其實都自學的這麼多方法吧,得上多少課纔能學完這些。除瞭reinforcement learning沒有講,其他常用的都介紹瞭,而且挑的是新的實用的。其實缺點也有,畢竟很多細節都沒有,推導粗略,想理解就自己繼續探索,文字較為隨性,哈哈哈哈????看完印象最深是,一本好書就像一瓶紅酒這個比喻
評分(´▽`)
評分一本簡介的入門書,定義概念都很清晰,可以當作參考用的工具書。
評分一本簡介的入門書,定義概念都很清晰,可以當作參考用的工具書。
評分(´▽`)
Andriy Burkov is a dad of two and a machine learning expert based in Quebec City, Canada. Nine years ago, he got a Ph.D. in Artificial Intelligence, and for the last six years, he's been leading a team of machine learning developers at Gartner.
His specialty is natural language processing. His team works on building state-of-the-art multilingual text extraction and normalization systems for production, using both shallow and deep learning technologies.
Everything you really need to know in Machine Learning in a hundred pages.
This is the first of its kind "read first, buy later" book. You can find the book online, read it, and then come back to pay for it if you liked the book or found it useful for your work, business or studies.
Review
"This book provides a great practical guide to get started and execute on ML within a few days without necessarily knowing much about ML apriori. The first five chapters are enough to get you started and the next few chapters provide you a good feel of more advanced topics to pursue. A wonderful book for engineers who want to incorporate ML in their day-to-day work without necessarily spending an enormous amount of time going through a formal degree program."--Deepak Agarwal, VP of Artificial Intelligence at LinkedIn
"This book is a great introduction to machine learning from a world-class practitioner and LinkedIn superstar Andriy Burkov. He managed to find a good balance between the math of the algorithms, intuitive visualizations, and easy-to-read explanations. This book will benefit the newcomers to the field as a thorough introduction to the fundamentals of machine learning, while the experienced professionals will definitely enjoy the practical recommendations from Andriy's rich experience in the field."--Karolis Urbonas, Head of Data Science at Amazon
"I wish such a book existed when I was a statistics graduate student trying to learn about machine learning. There is the right amount of math which demystify the centerpiece of an algorithm with succinct but very clear descriptions. I'm also impressed by the widespread coverage and good choices of important methods as an introductory book (not all machine learning books mention things like learning to rank or metric learning). Highly recommended to STEM major students."--Chao Han, VP, Head of R&D at Lucidworks
"This book provides a great practical guide to get started and execute on ML within a few days without necessarily knowing much about ML apriori. The first five chapters are enough to get you started and the next few chapters provide you a good feel of more advanced topics to pursue. A wonderful book for engineers who want to incorporate ML in their day-to-day work without necessarily spending an enormous amount of time going through a formal degree program."--Sujeet Varakhedi, Head of Engineering at eBay
"The Hundred-Page Machine Learning Book is an excellent read to get started with Machine Learning. In his book, Andriy Burkov distills the ubiquitous material on Machine Learning into concise and well-balanced intuitive, theoretical and practical elements that bring beginners, managers, and practitioners many life hacks."--Vincent Pollet, Head of Research at Nuance
整体进度:[https://github.com/apachecn/ml-book-100-zh/issues/1] 贡献指南:[https://github.com/apachecn/ml-book-100-zh/blob/master/CONTRIBUTING.md] 项目仓库:[https://github.com/apachecn/ml-book-100-zh]
評分整体进度:[https://github.com/apachecn/ml-book-100-zh/issues/1] 贡献指南:[https://github.com/apachecn/ml-book-100-zh/blob/master/CONTRIBUTING.md] 项目仓库:[https://github.com/apachecn/ml-book-100-zh]
評分整体进度:[https://github.com/apachecn/ml-book-100-zh/issues/1] 贡献指南:[https://github.com/apachecn/ml-book-100-zh/blob/master/CONTRIBUTING.md] 项目仓库:[https://github.com/apachecn/ml-book-100-zh]
評分整体进度:[https://github.com/apachecn/ml-book-100-zh/issues/1] 贡献指南:[https://github.com/apachecn/ml-book-100-zh/blob/master/CONTRIBUTING.md] 项目仓库:[https://github.com/apachecn/ml-book-100-zh]
評分整体进度:[https://github.com/apachecn/ml-book-100-zh/issues/1] 贡献指南:[https://github.com/apachecn/ml-book-100-zh/blob/master/CONTRIBUTING.md] 项目仓库:[https://github.com/apachecn/ml-book-100-zh]
The Hundred-Page Machine Learning Book 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024