Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD

Description: FREE SHIPPING UK WIDE Deep Learning for Coders with fastai and PyTorch by Sylvain Gugger, Jeremy Howard 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. Youll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description Deep 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.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. Youll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes.Train models in computer vision, natural language processing, tabular data, and collaborative filteringLearn the latest deep learning techniques that matter most in practiceImprove accuracy, speed, and reliability by understanding how deep learning models workDiscover how to turn your models into web applicationsImplement deep learning algorithms from scratchConsider the ethical implications of your workGain insight from the foreword by PyTorch cofounder, Soumith Chintala Author Biography Sylvain 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.Prior to this, Sylvain wrote several books covering the entire curriculum he was teaching in France (published at ditions 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.Sylvain is an alumni from cole Normale Sup rieure (Paris, France) where he studied mathematics and has a Masters Degree in mathematics from University Paris XI (Orsay, France).Jeremy 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.Jeremys most recent startup, Enlitic, was the first company to apply deep learning to medicine, and has been selected one of the worlds 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 & Co, and AT Kearney. Jeremy has invested in, mentored, and advised many startups, and contributed to many open source projects.He has many television and other video appearances, including as a regular guest on Australias highest-rated breakfast news program, a popular talk on TED.com, and data science and web development tutorials and discussions. Details ISBN1492045527 Author Jeremy Howard Year 2020 ISBN-10 1492045527 ISBN-13 9781492045526 Short Title Deep Learning for Coders with Fastai and Pytorch Language English Format Paperback Subtitle AI Applications Without a PhD Audience Professional and Scholarly DEWEY 006.31 Place of Publication Sebastopol Country of Publication United States AU Release Date 2020-07-31 NZ Release Date 2020-07-31 US Release Date 2020-07-31 Publication Date 2020-07-31 UK Release Date 2020-07-31 Imprint OReilly Media Birth 20180308 Affiliation Sam and Irene Black School of Business, Pennsylvania State University, USA Position Professor of Anaesthesia Qualifications BSc MB ChB MSc LLM MRC Pages 621 Publisher OReilly Media We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! 30 DAY RETURN POLICY No questions asked, 30 day returns! FREE DELIVERY No matter where you are in the UK, delivery is free. SECURE PAYMENT Peace of mind by paying through PayPal and eBay Buyer Protection TheNile_Item_ID:130071325;

Price: 48.99 GBP

Location: London

End Time: 2024-11-16T03:26:55.000Z

Shipping Cost: 10.06 GBP