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

Description: 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. Jeremy'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 & 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 Australia's highest-rated breakfast news program, a popular talk on , and data science and web development tutorials and discussions. 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 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. Sylvain 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).

Price: 64.51 USD

Location: East Hanover, New Jersey

End Time: 2024-11-30T06:55:32.000Z

Shipping Cost: 0 USD

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

Item Specifics

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 60 Days

Refund will be given as: Money Back

Return policy details:

EAN: 9781492045526

UPC: 9781492045526

ISBN: 9781492045526

MPN: N/A

Book Title: Deep Learning for Coders with fastai and PyTorch:

Number of Pages: 621 Pages

Language: English

Publication Name: Deep Learning for Coders with Fastai and Pytorch : Ai Applications Without a Phd

Publisher: O'reilly Media, Incorporated

Item Height: 1.5 in

Publication Year: 2020

Subject: Programming / General, Machine Theory, Image Processing, Computer Science, Neural Networks, Data Visualization, Programming Languages / Python

Item Weight: 38.2 Oz

Type: Textbook

Subject Area: Computers

Item Length: 9.2 in

Author: Jeremy Howard, Sylvain Gugger

Item Width: 7 in

Format: Trade Paperback

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