{"product_id":"deep-learning-for-coders-with-fastai-and-pytorch-ai-applications-without-a-phd-paperback","title":"Deep Learning for Coders with Fastai and Pytorch: AI Applications Without a PhD - 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\u003eJeremy Howard\u003c\/b\u003e (Author), \u003cb\u003eSylvain Gugger\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eDeep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. \u003c\/p\u003e\u003cp\u003e Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You'll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. \u003c\/p\u003e\u003cul\u003e \u003cli\u003eTrain models in computer vision, natural language processing, tabular data, and collaborative filtering \u003c\/li\u003e\n\u003cli\u003eLearn the latest deep learning techniques that matter most in practice \u003c\/li\u003e\n\u003cli\u003eImprove accuracy, speed, and reliability by understanding how deep learning models work \u003c\/li\u003e\n\u003cli\u003eDiscover how to turn your models into web applications \u003c\/li\u003e\n\u003cli\u003eImplement deep learning algorithms from scratch \u003c\/li\u003e\n\u003cli\u003eConsider the ethical implications of your work \u003c\/li\u003e\n\u003cli\u003eGain insight from the foreword by PyTorch cofounder, Soumith Chintala \u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eJeremy Howard is an entrepreneur, business strategist, developer, and educator. Jeremy is a founding researcher at fast.ai, a research institute dedicated to making deep learning more accessible. He is also a Distinguished Research Scientist at the University of San Francisco, a faculty member at Singularity University, and a Young Global Leader with the World Economic Forum.\u003c\/p\u003e\u003cp\u003eJeremy's most recent startup, Enlitic, was the first company to apply deep learning to medicine, and has been selected one of the world's top 50 smartest companies by MIT Tech Review two years running. He was previously the President and Chief Scientist of the data science platform Kaggle, where he was the top ranked participant in international machine learning competitions 2 years running. He was the founding CEO of two successful Australian startups (FastMail, and Optimal Decisions Group-purchased by Lexis-Nexis). Before that, he spent 8 years in management consulting, at McKinsey \u0026amp; Co, and AT Kearney. Jeremy has invested in, mentored, and advised many startups, and contributed to many open source projects.\u003c\/p\u003e\u003cp\u003eHe has many television and other video appearances, including as a regular guest on Australia's highest-rated breakfast news program, a popular talk on TED.com, and data science and web development tutorials and discussions.\u003c\/p\u003e\u003cp\u003eSylvain is a former teacher and a Research Scientist at fast.ai, with a focus on making deep learning more accessible by designing and improving techniques that allow models to train fast on limited resources.\u003c\/p\u003e\u003cp\u003ePrior to this, Sylvain wrote several books covering the entire curriculum he was teaching in France (published at Éditions Dunod) until 2015 in CPGE. CPGE are a French specific two-year program whereby handpicked students who graduated high school follow an intense preparation before sitting for the competitive exam to enter the top engineering and business schools of the country. Sylvain taught computer science and mathematics in that program for seven years.\u003c\/p\u003e\u003cp\u003eSylvain is an alumni from École Normale Supérieure (Paris, France) where he studied mathematics and has a Master's Degree in mathematics from University Paris XI (Orsay, France).\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 621\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.1 x 9.1 x 6.9 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e August 25, 2020\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":44838899056742,"sku":"9781492045526","price":90.19,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0599\/7255\/0758\/files\/aDZna3Q0enIxcUZFMGpqS3RqdDBxZz09.webp?v=1772484615","url":"https:\/\/infinitylightwa.com\/products\/deep-learning-for-coders-with-fastai-and-pytorch-ai-applications-without-a-phd-paperback","provider":"Infinity Light","version":"1.0","type":"link"}