Book Name: The Hundred Page Machine Learning Book
Author: Burkov, Andriy
Publisher: Andriy Burkov
File size: 21.63 MB
File format: PDF
The Hundred Page Machine Learning Book Pdf Book Description:
If you have read the Machine Learning For Absolute Beginners book you have to read this book that will improve your knowledge about Machine Learning. this is a good bok that has review by several people who has good reputation such as Peter Norvig research director at google Inc, Aurélien Géron, Karolis Urbonas as data science at amazon, Sujeet Varakhedi, Head of Engineering at eBay,Deepak Agarwal, VP of Artificial Intelligence at LinkedIn and much more. because of that we really suggest you download and read this book that we provide for free direct to your devices. am sure if you are an data engineer you will need this book to help your job and there are many useful information that you can find after you read this book. This book contains only those parts of the vast body of material on machine learning developed since the 1960s that have proven to have a significant practical value. A beginner in machine learning will find in this book just enough details to get a comfortable level of understanding of the field and start asking the right questions. Practitioners with experience can use this book as a collection of directions for further self-improvement. The book also comes in handy when brainstorming at the beginning of a project, when you try to answer the question whether a given technical or business problem is “machine-learnable” and, if yes, which techniques you should try to solve it.
If you are about to start learning machine learning, you should read this book from the beginning to the end. (It’s just a hundred pages, not a big deal.) If you are interested in a specific topic covered in the book and want to know more, most sections have a QR code. By scanning one of those QR codes with your phone, you will get a link to a page on the book’s companion wiki theMLbook.com with additional materials: recommended reads, videos, Q&As, code snippets, tutorials, and other bonuses. The book’s wiki is continuously updated with contributions from the book’s author himself as well as volunteers from all over the world. Machine learning is a subfield of computer science that is concerned with building algorithms which, to be useful, rely on a collection of examples of some phenomenon. These examples can come from nature, be handcrafted by humans or generated by another algorithm. Machine learning can also be defined as the process of solving a practical problem by 1) gathering a dataset, and 2) algorithmically building a statistical model based on that dataset. That statistical model is assumed to be used somehow to solve the practical problem.
DMCA Disclaimer: This site complies with DMCA Digital Copyright Laws. Please bear in mind that we do not own copyrights to these books. We’re sharing this material with our audience ONLY for educational purpose. We highly encourage our visitors to purchase original books from the respected publishers. If someone with copyrights wants us to remove this content, please contact us immediately.All books on the freebooksmedical.com are free and NOT HOSTED ON OUR WEBSITE. If you feel that we have violated your copyrights, then please contact us immediately (click here).