The Compiler Design Handbook: Optimizations and Machine Code Generation 2nd Edition - Y.N. Srikant and Priti Shankar
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Reliable Machine Learning - Cathy Chen, Niall Richard Murphy, Kranti Parisa, D. Sculley, and Todd Underwood
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The Little Book on CoffeeScript - Alex MacCaw
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Pharmacokinetics of Nicotine Absorption Part 2: A Primer
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Machine Learning: A Probabilistic Perspective - Kevin P. Murphy
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Concurrent Programming in Mac OS X and iOS - Vandad Nahavandipoor
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Scaling Up Machine Learning - Ron Bekkerman, Mikhail Bilenko and John Langford
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A Pharmacology Primer: Techniques for More Effective and Strategic Drug Discovery, 6th Edition
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Core Data: Apple’s API for Persisting Data on Mac OS X - Marcus S. Zarra
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Machine Learning for Financial Risk Management with Python - Abdullah Karasan
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From Source Code To Machine Code - James Smith
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MacTalk 人生元编程 - 池建强
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Machine Learning: An Algorithmic Perspective - Ralf Herbrich and Thore Graepel
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iOS 7 in Action - Brendan G. Lim and Martin Conte Mac Donell
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Distributed Machine Learning Patterns - Yuan Tang
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The Art of Mac Malware - Patrick Wardle
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Practical Simulations for Machine Learning - Paris and Mars Buttfield-Addison, Tim Nugent, and Jon Manning
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Practical Simulations for Machine Learning - Paris and Mars Buttfield-Addison, Tim Nugent, and Jon Manning