Math for Deep Learning provides the essential math you need to understand deep learning discussions, explore more complex implementations, and better use the deep learning toolkits. With Math for Deep Learning, you'll learn the essential mathematics used by and as a background for deep learning. You’ll work through Python examples to learn key deep learning related topics in pr...(展开全部)

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This book covers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning. The theory and algorithms of neural networks are particularly important for understanding important concepts, so that one can understand the important design concepts of neural architectures in different applications. Why do neural networks wor...(展开全部)

http://neuralnetworksanddeeplearning.com/

From the stock market to genomics laboratories, census figures to marketing email blasts, we are awash with data. But as anyone who has ever opened up a spreadsheet packed with seemingly infinite lines of data knows, numbers aren’t enough: we need to know how to make those numbers talk. In The Model Thinker, social scientist Scott E. Page shows us the mathematical, statistical,...(展开全部)

A Barronâ‘’s best-seller for more than four decades, the brand-new sixth edition of 1100 Words You Need to Know has been expanded and updated with more-- Word lists and definitions Analogy exercises Words-in-context exercises All new words for students to learn are placed in the context of sentences that have been selected from well-known novels, plays, poems, newspaper editori...(展开全部)

This brand-new edition of 1100 Words You Need to Know has been expanded and updated, and includes: Word lists and definitions Analogy exercises Words-in-context exercises Idiom indexes An updated Pronunciation Guide All new words for students to learn are placed in the context of sentences that have been selected from well-known novels, plays, poems, newspaper editorials, and T...(展开全部)

Updated to meet the needs of students preparing for the latest versions of the SAT and ACT college entrance tests, the new edition of this helpful, longtime best-selling book features word lists with definitions, analogy exercises, word games, and words-in-context exercises. A special feature is the authors’ Panorama of Words, in which each of the book’s 1110 words is presente...(展开全部)

●[美]莱昂纳德·萨斯坎德(Leonard Susskind) 世界知名理论物理学家，斯坦福大学教授。美国国家科学院院士，美国艺术与科学院院士。弦论的创始人之一，他和其所领导的研究小组进行了多年的研究，最终提出了一个震惊世界的观点：宇宙的发展需要外在的力量参与而非自身发展。 ●[美]乔治·拉保夫斯基(George Hrabovsky) 物理爱好者，科普作家。在对物理学的研究中，拉保夫斯基形成了一种对物理学观点进行解释的独特的方法，所以在他的笔下，晦涩的理论之间产生了有逻辑的连接，艰涩的公式变得更易于理解。由于阐述物理学理论的深入浅出的能力，拉保夫斯基受到了斯坦福大学等众多名校学生的喜爱。