{"product_id":"fundamentals-of-deep-learning-designing-next-generation-machine-intelligence-algorithms-paperback","title":"Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eNithin Buduma\u003c\/b\u003e (Author), \u003cb\u003eNikhil Buduma\u003c\/b\u003e (Author), \u003cb\u003eJoe Papa\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eWe'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. \u003c\/p\u003e\u003cp\u003e 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. \u003c\/p\u003e\u003cul\u003e \u003cli\u003eLearn the mathematics behind machine learning jargon \u003c\/li\u003e\n\u003cli\u003eExamine the foundations of machine learning and neural networks \u003c\/li\u003e\n\u003cli\u003eManage problems that arise as you begin to make networks deeper \u003c\/li\u003e\n\u003cli\u003eBuild neural networks that analyze complex images \u003c\/li\u003e\n\u003cli\u003ePerform effective dimensionality reduction using autoencoders \u003c\/li\u003e\n\u003cli\u003eDive deep into sequence analysis to examine language \u003c\/li\u003e\n\u003cli\u003eExplore methods in interpreting complex machine learning models \u003c\/li\u003e\n\u003cli\u003eGain theoretical and practical knowledge on generative modeling \u003c\/li\u003e\n\u003cli\u003eUnderstand the fundamentals of reinforcement learning \u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eNithin 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.\u003c\/p\u003e\u003cp\u003eNikhil 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.\u003c\/p\u003e\u003cp\u003eJoe Papa has over 25 years experience in research \u0026amp; 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.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 387\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.87 x 9.06 x 6.93 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e June 21, 2022\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":44841044738150,"sku":"9781492082187","price":90.19,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0599\/7255\/0758\/files\/UE8rU3dxTVpsN1JPME0wejRtY2xtQT09.webp?v=1772556527","url":"https:\/\/infinitylightwa.com\/products\/fundamentals-of-deep-learning-designing-next-generation-machine-intelligence-algorithms-paperback","provider":"Infinity Light","version":"1.0","type":"link"}