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| - | {{keywords>The Hundred-Page Machine Learning Book}} | + | {{keywords>Machine Learning Engineering}} |
| - | {{ :new_cover.png?nolink&900 |}} | + | <HTML> |
| - | 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. | + | <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>, <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> | ||
| - | **WARNING!** To avoid buying counterfeits on Amazon, click on [[https://www.amazon.com/gp/offer-listing/199957950X/|See All Buying Options]] | + | {{ :kindle_cover.png?nolink&900 |}} |
| - | and choose **Sold by Amazon.com** and not a third-party seller. But better, avoid Amazon by all means. The best way to make sure the author receives a fair part of your money is to buy an e-book on Leanpub. | + | |
| - | The wiki contains pages that extend some book chapters with additional information: Q&A, code snippets, further reading, tools, and other relevant resources. | + | This is the supporting wiki for the book **Machine Learning Engineering** by [[https://www.linkedin.com/in/andriyburkov/|Andriy Burkov]]. |
| - | 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. If you liked the book, only then you have to buy it. | + | //"If you intend to use machine learning to solve business problems at scale, I'm delighted you got your hands on this book."// |
| - | Enjoy your reading! | + | —**Cassie Kozyrkov**, Chief Decision Scientist at **Google** |
| - | ===== Join the Mailing List ===== | + | //"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 hype, realizing it takes a conscious engineering effort and best practices to make machine learning work. Another great book from Andriy!"// |
| - | <HTML> | + | —**Karolis Urbonas**, Head of Machine Learning and Science at **Amazon** |
| - | <center><iframe src="https://aiweekly.substack.com/embed" width="480" height="320" style="border:1px solid #EEE; background:white;" frameborder="0" scrolling="no"></iframe></center> | + | |
| - | </HTML> | + | |
| - | ===== Released Drafts of the Chapters ===== | + | |
| - | * [[http://bit.ly/theMLbook-Preface|Preface]] | + | 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. |
| - | * Chapter 1: [[http://bit.ly/theMLbook-Chapter-1|Introduction]] | + | |
| - | Part I: Supervised Learning | + | 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. |
| - | * Chapter 2: [[http://bit.ly/theMLbook-Chapter-2|Notation and Definitions]] | + | 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]]. |
| - | * 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 | + | Enjoy! |
| - | * Chapter 9: [[http://bit.ly/theMLbook-Chapter09|Unsupervised Learning]] (plus [[https://www.dropbox.com/s/8q28yebc4lu93rp/ExtendedChapter9.pdf?dl=0|in-depth material]]) | + | ===== Join the Mailing List ===== |
| - | * 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]] | + | <HTML> |
| + | <center><iframe src="https://aiweekly.substack.com/embed" width="480" height="320" style="border:1px solid #EEE; background:white;" frameborder="0" scrolling="no"></iframe></center> | ||
| + | </HTML> | ||
| + | ===== Released Drafts of the Chapters ===== | ||
| - | [[http://themlbook.com/wiki/doku.php?id=start&do=index|All wiki pages]] | + | * [[http://bit.ly/MLEbook-Foreword|Foreword by Cassie Kozyrkov]] |
| + | * [[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]] | ||
| - | Don't forget to subscribe to the mailing list if you wish to receive updates! | + | [[corrections|Corrections]] |
| - | 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]] | + | Don't forget to subscribe to the mailing list if you wish to receive updates! |
| - | and choose **Amazon.com** and not a third-party seller. | + | Already above **16,000** subscribers! |
| <HTML> | <HTML> | ||
| - | <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> | ||
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