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The Hundred-Page Machine Learning Book de Andriy Burkov

Descripción - Reseña del editor WARNING: to avoid counterfeit, make sure that the book ships from and sold by Amazon. Avoid third-party sellers.Peter Norvig, Research Director at Google, co-author of AIMA, the most popular AI textbook in the world: 'Burkov has undertaken a very useful but impossibly hard task in reducing all of machine learning to 100 pages. He succeeds well in choosing the topics — both theory and practice — that will be useful to practitioners, and for the reader who understands that this is the first 100 (or actually 150) pages you will read, not the last, provides a solid introduction to the field.'Aurélien Géron, Senior AI Engineer, author of the bestseller Hands-On Machine Learning with Scikit-Learn and TensorFlow: 'The breadth of topics the book covers is amazing for just 100 pages (plus few bonus pages!). Burkov doesn't hesitate to go into the math equations: that's one thing that short books usually drop. I really liked how the author explains the core concepts in just a few words. The book can be very useful for newcomers in the field, as well as for old-timers who can gain from such a broad view of the field.'Karolis Urbonas, Head of Data Science at Amazon: 'A great introduction to machine learning from a world-class practitioner.' Chao Han, VP, Head of R&D at Lucidworks: 'I wish such a book existed when I was a statistics graduate student trying to learn about machine learning.' Sujeet Varakhedi, Head of Engineering at eBay: 'Andriy's book does a fantastic job of cutting the noise and hitting the tracks and full speed from the first page.''Deepak Agarwal, VP of Artificial Intelligence at LinkedIn: 'A wonderful book for engineers who want to incorporate ML in their day-to-day work without necessarily spending an enormous amount of time.''Vincent Pollet, Head of Research at Nuance: 'The Hundred-Page Machine Learning Book is an excellent read to get started with Machine Learning.''Gareth James, Professor of Data Sciences and Operations, co-author of the bestseller An Introduction to Statistical Learning, with Applications in R: 'This is a compact “how to do data science” manual and I predict it will become a go-to resource for academics and practitioners alike. At 100 pages (or a little more), the book is short enough to read in a single sitting. Yet, despite its length, it covers all the major machine learning approaches, ranging from classical linear and logistic regression, through to modern support vector machines, deep learning, boosting, and random forests. There is also no shortage of details on the various approaches and the interested reader can gain further information on any particular method via the innovative companion book wiki. The book does not assume any high level mathematical or statistical training or even programming experience, so should be accessible to almost anyone willing to invest the time to learn about these methods. It should certainly be required reading for anyone starting a PhD program in this area and will serve as a useful reference as they progress further. Finally, the book illustrates some of the algorithms using Python code, one of the most popular coding languages for machine learning. I would highly recommend “The Hundred-Page Machine Learning Book” for both the beginner looking to learn more about machine learning and the experienced practitioner seeking to extend their knowledge base.'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.

Pdf the hundred page machine learning book dilgam the hundred page machine learning book The hundredpage machine learning book burkov as its title says, its the hundredpage machine learning book it was written by an expert in machine learning holding a phd in artificial intelligence with almost two decades of industry experience in computer science and handson machine learning this is a unique book in many aspects The hundredpage machine learning book data science central new book, in progress by andriy burkov, machine learning team leader at gartner the following chapters are currently available foreword chapter 1 introduction part i supervised learning chapter 2 notation and definitions chapter 3 fundamental algorithms chapter 4 anatomy of a learning algorithm chapter 5 basic practice

The hundredpage machine learning book read online the hundredpage machine learning book by andriy burkov 2019 number of pages 160 description this is the first successful attempt to write an easy to read book on machine learning that isnt afraid of using math its also the first attempt to squeeze a wide range of machine learning topics in a systematic way and without loss in quality The hundredpage machine learning book by andriy burkov machine learning is what drives ai experts in this domain are rare, employers fight for the mlskilled talent with this book, you will learn how machine learning works a hundred pages from now, you will be ready to build complex ai systems, pass an interview or start your own business all you need to know about machine learning in a hundred Descargar libro machine machine learning for dummies, ibm limited edition machine learning is a form of ai that enables a system to learn from data rather than through explicit programming however, machine learning is not a simple process machine learning uses a variety of algorithms that iteratively learn from data to improve, describe data, and predict outcomes

Detalles del Libro

• Name: The Hundred-Page Machine Learning Book
  
• Autor: Andriy Burkov
  
• Categoria: Libros,Libros universitarios y de estudios superiores,Ciencias informáticas
  
• Tamaño del archivo: 13 MB
  
• Tipos de archivo: PDF Document
  
• Idioma: Español
  
• Archivos de estado: AVAILABLE
  

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