Nithin Buduma, Nikhil Buduma, Joe Papa

Fundamentals of Deep Learning (eBook, ePUB)

• Format: ePub

Produktbeschreibung

We're in the midst of an AI research explosion. Deep learning has unlocked superhuman perception to power our push toward creating self-driving vehicles, defeating human experts at a variety of difficult games including Go, and even generating essays with shockingly coherent prose. But deciphering these breakthroughs often takes a PhD in machine learning and mathematics.The updated second edition of this book describes the intuition behind these innovations without jargon or complexity. Python-proficient programmers, software engineering professionals, and computer science majors will be able to reimplement these breakthroughs on their own and reason about them with a level of sophistication that rivals some of the best developers in the field.Learn the mathematics behind machine learning jargonExamine the foundations of machine learning and neural networksManage problems that arise as you begin to make networks deeperBuild neural networks that analyze complex imagesPerform effective dimensionality reduction using autoencodersDive deep into sequence analysis to examine languageExplore methods in interpreting complex machine learning modelsGain theoretical and practical knowledge on generative modelingUnderstand the fundamentals of reinforcement learning

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Produktdetails

• Verlag: O'Reilly Media
• Seitenzahl: 390
• Erscheinungstermin: 16. Mai 2022
• Englisch
• ISBN-13: 9781492082132
• Artikelnr.: 72360540

Autorenporträt

Nithin Buduma is one of the first machine learning engineers at XY.ai, a start-up based out of Harvard and Stanford working to help healthcare companies leverage their massive datasets. Nikhil Buduma is the cofounder and chief scientist of Remedy, a San Francisco-based company that is building a new system for data-driven primary healthcare. At the age of 16, he managed a drug discovery laboratory at San Jose State University and developed novel low-cost screening methodologies for resource-constrained communities. By the age of 19, he was a two-time gold medalist at the International Biology Olympiad. He later attended MIT, where he focused on developing large-scale data systems to impact healthcare delivery, mental health, and medical research. At MIT, he cofounded Lean On Me, a national nonprofit organization that provides an anonymous text hotline to enable effective peer support on college campus and leverages data to effect positive mental health and wellness outcomes. Today, Nikhil spends his free time investing in hard technology and data companies through his venture fund, Q Venture Partners, and managing a data analytics team for the Milwaukee Brewers baseball team. Joe Papa has over 25 years experience in research & development and is the founder of INSPIRD.ai. He holds an MSEE and has led AI Research teams with PyTorch at Booz Allen and Perspecta Labs. Joe has mentored hundreds of Data Scientists and has taught 6,000+ students across the world on Udemy.