Mathematics for Machine Learning PDF Download
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Author: Marc Peter Deisenroth
Publisher: Cambridge University Press
ISBN: 1108569323
Category : Computers
Languages : en
Pages : 392
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Book Description
The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.
Author: Marc Peter Deisenroth
Publisher: Cambridge University Press
ISBN: 1108569323
Category : Computers
Languages : en
Pages : 392
Get Book Here
Book Description
The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.
Author: B.F Skinner
Publisher: Simon and Schuster
ISBN: 1476716153
Category : Psychology
Languages : en
Pages : 484
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Book Description
The psychology classic—a detailed study of scientific theories of human nature and the possible ways in which human behavior can be predicted and controlled—from one of the most influential behaviorists of the twentieth century and the author of Walden Two. “This is an important book, exceptionally well written, and logically consistent with the basic premise of the unitary nature of science. Many students of society and culture would take violent issue with most of the things that Skinner has to say, but even those who disagree most will find this a stimulating book.” —Samuel M. Strong, The American Journal of Sociology “This is a remarkable book—remarkable in that it presents a strong, consistent, and all but exhaustive case for a natural science of human behavior…It ought to be…valuable for those whose preferences lie with, as well as those whose preferences stand against, a behavioristic approach to human activity.” —Harry Prosch, Ethics
Author: Fun French Notebooks
Publisher:
ISBN: 9781691325917
Category :
Languages : en
Pages : 104
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Book Description
Perfect vocabulary notebook for beginner and advanced language students. The act of writing the words on paper will help students to recall the new information. It will also serve as an invaluable review tool for tests and quizzes. Each page is split into two columns so that the new vocabulary words go into one column with the mother tongue translation in the other. When reviewing for a test, it's easy to cover up one side of the page with a book or another sheet of paper, then move along down the column, testing yourself to see if you remember each vocabulary item. This series of language study notebooks series is available for students of Chinese, French, German, Italian, Japanese, Spanish and more. Click on the author name under the title to see our range of fun and clever covers specific to each language.
Author: Francois Chollet
Publisher: Simon and Schuster
ISBN: 1638352046
Category : Computers
Languages : en
Pages : 597
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Book Description
Summary Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Machine learning has made remarkable progress in recent years. We went from near-unusable speech and image recognition, to near-human accuracy. We went from machines that couldn't beat a serious Go player, to defeating a world champion. Behind this progress is deep learning—a combination of engineering advances, best practices, and theory that enables a wealth of previously impossible smart applications. About the Book Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects. What's Inside Deep learning from first principles Setting up your own deep-learning environment Image-classification models Deep learning for text and sequences Neural style transfer, text generation, and image generation About the Reader Readers need intermediate Python skills. No previous experience with Keras, TensorFlow, or machine learning is required. About the Author François Chollet works on deep learning at Google in Mountain View, CA. He is the creator of the Keras deep-learning library, as well as a contributor to the TensorFlow machine-learning framework. He also does deep-learning research, with a focus on computer vision and the application of machine learning to formal reasoning. His papers have been published at major conferences in the field, including the Conference on Computer Vision and Pattern Recognition (CVPR), the Conference and Workshop on Neural Information Processing Systems (NIPS), the International Conference on Learning Representations (ICLR), and others. Table of Contents PART 1 - FUNDAMENTALS OF DEEP LEARNING What is deep learning? Before we begin: the mathematical building blocks of neural networks Getting started with neural networks Fundamentals of machine learning PART 2 - DEEP LEARNING IN PRACTICE Deep learning for computer vision Deep learning for text and sequences Advanced deep-learning best practices Generative deep learning Conclusions appendix A - Installing Keras and its dependencies on Ubuntu appendix B - Running Jupyter notebooks on an EC2 GPU instance
Author: Natalie Goldberg
Publisher: Shambhala Publications
ISBN: 0834821133
Category : Self-Help
Languages : en
Pages : 258
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Book Description
For more than thirty years Natalie Goldberg has been challenging and cheering on writers with her books and workshops. In her groundbreaking first book, she brings together Zen meditation and writing in a new way. Writing practice, as she calls it, is no different from other forms of Zen practice—"it is backed by two thousand years of studying the mind." This thirtieth-anniversary edition includes new forewords by Julia Cameron and Bill Addison. It also includes a new preface in which Goldberg reflects on the enduring quality of the teachings here. She writes, "What have I learned about writing over these thirty years? I’ve written fourteen books, and it’s the practice here in Bones that is the foundation, sustaining and building my writing voice, that keeps me honest, teaches me how to endure the hard times and how to drop below discursive thinking, to taste the real meat of our minds and the life around us."
Author: Betsy Duffey
Publisher: Penguin
ISBN: 9780141307084
Category : Juvenile Fiction
Languages : en
Pages : 84
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Book Description
Kelly Sparks is the undisputed gadget champ at Danville School. Then Albert Einstein Jones, an alumnus of Young Inventor's Camp, joins her class. Kelly could give up the gadget crown gracefully -but she'd much rather let the spitballs and smelly goo fly!
Author: Burrhus Frederic Skinner
Publisher: New York : Appleton-Century-Crofts
ISBN:
Category : Language and languages
Languages : en
Pages : 478
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Book Description
Author: Williamson & Taylor
Publisher:
ISBN: 9781914329197
Category :
Languages : en
Pages : 102
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Book Description
100 pages of handwriting practice paper - an excellent tool to help your child's development. 100 pages with dotted middle line to practice writing control. Practice each day and see the improvement. Perfect for toddlers, preschool and kindergarten. Great quality with glossy finish and handy 8.5" x 11" size.
Author: Deanne Spears
Publisher: McGraw-Hill Humanities/Social Sciences/Languages
ISBN: 9780072982909
Category : Language Arts & Disciplines
Languages : en
Pages : 584
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Book Description
Designed for reading courses at the intermediate and advanced level, Developing Critical Reading Skills uses practice prose similar to the kind that students will encounter in the classroom, encouraging them to analyze, interpret, question, and even challenge the words of the writer. The seventh edition continues to feature a wide range of interesting and diverse selections, excellent coverage of critical reading skills, and a concluding section on reading short stories. It now also includes coverage of reading textbooks and interpreting visuals.
Author: Gail Gibbons
Publisher: National Geographic Books
ISBN: 0823449823
Category : Juvenile Nonfiction
Languages : en
Pages : 0
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Book Description
Learn all there is to know about one of the most charismatic mammals around. Giant pandas: they are indigenous to China and are adored the world over. But they are more than a bundle of fluff and squeaks. Giant pandas are energetic climbers and swimmers. In one year, they may eat around 10,000 pounds of bamboo. And people in China have worked together to create protected areas for giant pandas to live peacefully. Discover a detailed introduction to giant pandas - including baby panda development - in this beautifully illustrated nonfiction picture book. Gail Gibbons adds another book to her widespread collection of nonfiction for young readers of all levels, and introduces the topic of conservation in the process.
