Want to know what books Chris Albon recommends on their reading list? We've researched interviews, social media posts, podcasts, and articles to build a comprehensive list of Chris Albon's favorite book recommendations of all time.
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Told in Kvothe's own voice, this is the tale of the magically gifted young man who grows to be the most notorious wizard his world has ever seen.
The intimate narrative of his childhood in a troupe of traveling players, his years spent as a near-feral orphan in a crime-ridden city, his daringly brazen yet successful bid to enter a legendary school of magic, and his life as a fugitive after the murder of a king form a gripping coming-of-age story unrivaled in recent literature.
A high-action story written with a poet's hand, The Name of the Wind is a masterpiece... more Told in Kvothe's own voice, this is the tale of the magically gifted young man who grows to be the most notorious wizard his world has ever seen.
The intimate narrative of his childhood in a troupe of traveling players, his years spent as a near-feral orphan in a crime-ridden city, his daringly brazen yet successful bid to enter a legendary school of magic, and his life as a fugitive after the murder of a king form a gripping coming-of-age story unrivaled in recent literature.
A high-action story written with a poet's hand, The Name of the Wind is a masterpiece that will transport readers into the body and mind of a wizard. less 
Chris Albon@WaltHickey I don’t really read fiction and randomly found that book, amazing. (Source)
Matt Schlicht@teej_m Read it. Love it. So amazing. Waiting for the last book and fear it may never come. (Source)
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Ian Goodfellow, Yoshua Bengio, et al. | 4.28
An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives.
Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by... more An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives.
Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.
The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models.
Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors. less 
Elon MuskWritten by three experts in the field, Deep Learning is the only comprehensive book on the subject. (Source)
Nassim Nicholas TalebVery clear exposition, does the math without getting lost in the details. Although many of the concepts of the introductory first 100 pages can be found elsewhere, they are presented with remarkable cut-to-the-chase clarity. (Source)
Satya NadellaElon Musk and Facebook AI chief Yann LeCun have praised this textbook on one of software’s most promising frontiers. After its publication, Microsoft signed up coauthor Bengio, a pioneer in machine learning, as an adviser (Source)
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