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 ~~NOTOC~~ ~~NOTOC~~
  
-{{keywords>​The Hundred-Page ​Machine Learning ​Book}}+{{keywords>​Machine Learning ​Engineering}}
  
-**WARNING!**+<​HTML>​
  
-Attention, dear readers! A disaster happenedAmong the physical booksonly the hardcover edition of The Hundred-Page ​Machine Learning ​book is currently available. If you buy paperback right now it's either ​very expensive resell or counterfeitPlease don't buy, subscribe to the newsletter, and wait for further announcements[[https://leanpub.com/theMLbook|PDF/EPUB]] on Leanpub is still available.+<​center>​Purchase <a href=https://​leanpub.com/​MLE>​PDF</​a>​<a href=https://​www.amazon.com/​Machine-Learning-Engineering-Andriy-Burkov-ebook/​dp/​B09Q18725P/>​Kindle</​a>, <href=https://​www.barnesandnoble.com/​w/​machine-learning-engineering-andriy-burkov/​1137644949?​ean=9781999579579>​paperback</​a>,​ <a href=https://www.walmart.com/ip/Machine-Learning-Engineering-Hardcover-9781777005467/​113748827>​hardcover</​a>​.</​center>​ 
 +</​HTML>​
  
-{{ :new_cover.png?​nolink&​900 |}}+{{ :kindle_cover.png?​nolink&​900 |}}
  
-This is the supporting wiki for the book **The Hundred-Page ​Machine Learning ​Book** by [[https://​www.linkedin.com/​in/​andriyburkov/​|Andriy Burkov]]. The book [[http://​themlbook.com|is now available]] on Amazon and most major online bookstores.+This is the supporting wiki for the book **Machine Learning ​Engineering** by [[https://​www.linkedin.com/​in/​andriyburkov/​|Andriy Burkov]].
  
-**WARNING!** To avoid buying counterfeit on Amazon, click on [[https://​www.amazon.com/​gp/​offer-listing/​199957950X/​|See All Buying Options]] 
-and choose **Amazon.com** and not a third-party seller. 
  
-The wiki contains pages that extend some book chapters with additional information:​ Q&A, code snippets, further reading, tools, and other relevant resources.+//"If you intend to use machine learning to solve business problems at scale, I'm delighted you got your hands on this book."//
  
-This book is distributed on the "read firstbuy later" principle. I strongly believe that paying for the content before consuming it is buying a pig in a poke. You can see and try a car in a dealership before you buy it. You can try on a shirt or a dress in a department store. You have to be able to read a book before paying for it.+—**Cassie Kozyrkov**Chief Decision Scientist at **Google**
  
-The //read first, buy later// principle implies that you can freely download ​the bookread it and share it with your friends and colleaguesIf you liked the book, only then you have to buy it.+//"​Foundational work about the reality of building machine learning models in production. Comes at the right time when companies start to see through the AI hyperealizing ​it takes a conscious engineering effort ​and best practices to make machine learning workAnother great book from Andriy!"//​
  
-Enjoy your reading!+—**Karolis Urbonas**, Head of Machine Learning and Science at **Amazon** 
 + 
 +Just like my previous bestselling The Hundred-Page Machine Learning Book, this book is distributed on the //"​read-first,​ buy-later"//​ principle. I strongly believe that paying for the content before consuming it is buying a pig in a poke. You can see and try a car in a dealership before you buy it. You can try on a shirt or a dress in a department store. You have to be able to read a book before paying for it. 
 + 
 +The read-first, buy-later principle implies that you can freely download the book, read it, and share it with your friends and colleagues. Only if you liked the book or found it useful, then buy it. 
 + 
 +The book is available for purchase as a [[https://​leanpub.com/​MLE|PDF]],​ [[https://​www.amazon.com/​Machine-Learning-Engineering-Andriy-Burkov-ebook/​dp/​B09Q18725P/​|Kindle]],​ [[https://​www.barnesandnoble.com/​w/​machine-learning-engineering-andriy-burkov/​1137644949|paperback]],​ and [[https://​www.walmart.com/​ip/​Machine-Learning-Engineering-Hardcover-9781777005467/​113748827|hardcover]]. 
 + 
 +Enjoy!
  
 ===== Join the Mailing List ===== ===== Join the Mailing List =====
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 ===== Released Drafts of the Chapters ===== ===== Released Drafts of the Chapters =====
  
-  * [[http://​bit.ly/​theMLbook-Preface|Preface]] +  * [[http://​bit.ly/​MLEbook-Foreword|Foreword by Cassie Kozyrkov]] 
-  * Chapter 1: [[http://​bit.ly/​theMLbook-Chapter-1|Introduction]]+  * [[http://​bit.ly/​MLEbook-Preface|Preface]] 
 +  * Chapter 1: [[http://​bit.ly/​MLEbook-Chapter1|Introduction]] 
 +  * Chapter ​2: [[http://​bit.ly/​MLEbook-Chapter2|Before the Project Starts]] 
 +  * Chapter 3: [[http://​bit.ly/​MLEbook-Chapter3|Data Collection and Preparation]] 
 +  * Chapter 4: [[http://​bit.ly/​MLEbook-Chapter4|Feature Engineering]] 
 +  * Chapter 5: [[http://​bit.ly/​MLEbook-Chapter5|Supervised Model Training (Part 1)]] 
 +  * Chapter 6: [[http://​bit.ly/​MLEbook-Chapter6|Supervised Model Training (Part 2)]] 
 +  * Chapter 7: [[http://​bit.ly/​MLEbook-Chapter7|Model Evaluation]] 
 +  * Chapter 8: [[http://​bit.ly/​MLEbook-Chapter8|Model Deployment]] 
 +  * Chapter 9: [[http://​bit.ly/​MLEbook-Chapter9|Model Serving, Monitoring, and Maintenance]] 
 +  * Chapter 10: [[http://​bit.ly/​MLEbook-Chapter10|Conclusion]]
  
-Part I: Supervised Learning +[[corrections|Corrections]]
- +
-  * Chapter 2: [[http://​bit.ly/​theMLbook-Chapter-2|Notation and Definitions]] +
-  * Chapter 3: [[http://​bit.ly/​theMLbook-Chapter-3|Fundamental Algorithms]] (plus [[https://​www.dropbox.com/​s/​02k52sbksqf4y6k/​ExtendedChapter3.pdf?​dl=0|in-depth material]]) +
-  * Chapter 4: [[http://​bit.ly/​theMLbook-Chapter-4|Anatomy of a Learning Algorithm]] +
-  * Chapter 5: [[http://​bit.ly/​theMLbook-Chapter-5|Basic Practice]] (plus [[https://​www.dropbox.com/​s/​e1y0qur8obh47so/​ExtendedChapter5.pdf?​dl=0|in-depth material]]) +
-  * Chapter 6: [[http://​bit.ly/​theMLbook-Chapter-6|Neural Networks and Deep Learning]] (plus [[https://​www.dropbox.com/​s/​ouj8ddydc77tewo/​ExtendedChapter6.pdf?​dl=0|in-depth material]]) +
-  * Chapter 7: [[http://​bit.ly/​theMLbook-Chapter-7|Problems and Solutions]] +
-  * Chapter 8: [[http://​bit.ly/​theMLbook-Chapter-8|Advanced Practice]] +
- +
-Part II: Unsupervised and Other Forms of Learning +
- +
-  * Chapter 9: [[http://​bit.ly/​theMLbook-Chapter09|Unsupervised Learning]] (plus [[https://​www.dropbox.com/​s/​8q28yebc4lu93rp/​ExtendedChapter9.pdf?​dl=0|in-depth material]]) +
-  * Chapter 10: [[http://​bit.ly/​theMLbook-Chapter-10|Other Forms of Learning]] +
-  * Chapter 11: [[http://​bit.ly/​theMLbook-Chapter-11|Conclusion]] +
- +
-[[https://​github.com/​aburkov/​theMLbook|Code on Github]] +
- +
-[[http://​themlbook.com/​wiki/​doku.php?​id=start&​do=index|All wiki pages]]+
  
 Don't forget to subscribe to the mailing list if you wish to receive updates! Don't forget to subscribe to the mailing list if you wish to receive updates!
-Already above 16,​000 ​subscribers! +Already above **16,​000** ​subscribers!
- +
-**WARNING!** To avoid buying counterfeit on Amazon, click on [[https://​www.amazon.com/​gp/​offer-listing/​199957950X/​|See All Buying Options]] +
-and choose **Amazon.com** and not a third-party seller.+
  
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-<​center>​Check my new book: <a href=http://​mlebook.com>​Machine Learning ​Engineering</a> (2020)</​center>​+<​center>​Check my first book: <a href=http://​themlbook.com>The Hundred-Page ​Machine Learning ​Book</a> (2019)</​center>​
  
 </​HTML>​ </​HTML>​