Coders

Coders
Author :
Publisher : Penguin Press
Total Pages : 450
Release :
ISBN-10 : 9780735220560
ISBN-13 : 0735220565
Rating : 4/5 (60 Downloads)

Book Synopsis Coders by : Clive Thompson

Download or read book Coders written by Clive Thompson and published by Penguin Press. This book was released on 2019 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: "[An] anthropological reckoning with the most powerful tribe in the world today, computer programmers--where they come from, how they think, what makes for greatness in their world, and what should give us pause"--

Coders at Work

Coders at Work
Author :
Publisher : Apress
Total Pages : 619
Release :
ISBN-10 : 9781430219491
ISBN-13 : 1430219491
Rating : 4/5 (91 Downloads)

Book Synopsis Coders at Work by : Peter Seibel

Download or read book Coders at Work written by Peter Seibel and published by Apress. This book was released on 2009-12-21 with total page 619 pages. Available in PDF, EPUB and Kindle. Book excerpt: Peter Seibel interviews 15 of the most interesting computer programmers alive today in Coders at Work, offering a companion volume to Apress’s highly acclaimed best-seller Founders at Work by Jessica Livingston. As the words “at work” suggest, Peter Seibel focuses on how his interviewees tackle the day-to-day work of programming, while revealing much more, like how they became great programmers, how they recognize programming talent in others, and what kinds of problems they find most interesting. Hundreds of people have suggested names of programmers to interview on the Coders at Work web site: www.codersatwork.com. The complete list was 284 names. Having digested everyone’s feedback, we selected 15 folks who’ve been kind enough to agree to be interviewed: Frances Allen: Pioneer in optimizing compilers, first woman to win the Turing Award (2006) and first female IBM fellow Joe Armstrong: Inventor of Erlang Joshua Bloch: Author of the Java collections framework, now at Google Bernie Cosell: One of the main software guys behind the original ARPANET IMPs and a master debugger Douglas Crockford: JSON founder, JavaScript architect at Yahoo! L. Peter Deutsch: Author of Ghostscript, implementer of Smalltalk-80 at Xerox PARC and Lisp 1.5 on PDP-1 Brendan Eich: Inventor of JavaScript, CTO of the Mozilla Corporation Brad Fitzpatrick: Writer of LiveJournal, OpenID, memcached, and Perlbal Dan Ingalls: Smalltalk implementor and designer Simon Peyton Jones: Coinventor of Haskell and lead designer of Glasgow Haskell Compiler Donald Knuth: Author of The Art of Computer Programming and creator of TeX Peter Norvig: Director of Research at Google and author of the standard text on AI Guy Steele: Coinventor of Scheme and part of the Common Lisp Gang of Five, currently working on Fortress Ken Thompson: Inventor of UNIX Jamie Zawinski: Author of XEmacs and early Netscape/Mozilla hacker

Secret Coders

Secret Coders
Author :
Publisher : First Second
Total Pages : 100
Release :
ISBN-10 : 9781626725744
ISBN-13 : 1626725748
Rating : 4/5 (44 Downloads)

Book Synopsis Secret Coders by : Gene Luen Yang

Download or read book Secret Coders written by Gene Luen Yang and published by First Second. This book was released on 2015-09-29 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: Welcome to Stately Academy, a school which is just crawling with mysteries to be solved! The founder of the school left many clues and puzzles to challenge his enterprising students. Using their wits and their growing prowess with coding, Hopper and her friend Eni are going to solve the mystery of Stately Academy no matter what it takes! From graphic novel superstar (and high school computer programming teacher) Gene Luen Yang comes Secret Coders, a wildly entertaining new series that combines logic puzzles and basic programming instruction with a page-turning mystery plot!

AI and Machine Learning for Coders

AI and Machine Learning for Coders
Author :
Publisher : O'Reilly Media
Total Pages : 393
Release :
ISBN-10 : 9781492078166
ISBN-13 : 1492078166
Rating : 4/5 (66 Downloads)

Book Synopsis AI and Machine Learning for Coders by : Laurence Moroney

Download or read book AI and Machine Learning for Coders written by Laurence Moroney and published by O'Reilly Media. This book was released on 2020-10-01 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics. You'll understand how to implement the most common scenarios in machine learning, such as computer vision, natural language processing (NLP), and sequence modeling for web, mobile, cloud, and embedded runtimes. Most books on machine learning begin with a daunting amount of advanced math. This guide is built on practical lessons that let you work directly with the code. You'll learn: How to build models with TensorFlow using skills that employers desire The basics of machine learning by working with code samples How to implement computer vision, including feature detection in images How to use NLP to tokenize and sequence words and sentences Methods for embedding models in Android and iOS How to serve models over the web and in the cloud with TensorFlow Serving

Deep Learning for Coders with fastai and PyTorch

Deep Learning for Coders with fastai and PyTorch
Author :
Publisher : O'Reilly Media
Total Pages : 624
Release :
ISBN-10 : 9781492045496
ISBN-13 : 1492045497
Rating : 4/5 (96 Downloads)

Book Synopsis Deep Learning for Coders with fastai and PyTorch by : Jeremy Howard

Download or read book Deep Learning for Coders with fastai and PyTorch written by Jeremy Howard and published by O'Reilly Media. This book was released on 2020-06-29 with total page 624 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. You’ll 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 filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala

Coders

Coders
Author :
Publisher : Picador
Total Pages : 0
Release :
ISBN-10 : 1529019001
ISBN-13 : 9781529019001
Rating : 4/5 (01 Downloads)

Book Synopsis Coders by : Clive Thompson

Download or read book Coders written by Clive Thompson and published by Picador. This book was released on 2020-03-05 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: From acclaimed tech writer Clive Thompson, a brilliant and immersive anthropological reckoning with the most powerful tribe in the world today, computer programmers - where they come from, how they think, what makes for greatness in their world, and what should give us pause.

Secret Coders: Paths & Portals

Secret Coders: Paths & Portals
Author :
Publisher : Macmillan
Total Pages : 99
Release :
ISBN-10 : 9781626720763
ISBN-13 : 1626720762
Rating : 4/5 (63 Downloads)

Book Synopsis Secret Coders: Paths & Portals by : Gene Luen Yang

Download or read book Secret Coders: Paths & Portals written by Gene Luen Yang and published by Macmillan. This book was released on 2016-08-30 with total page 99 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Meet Hopper, Eni, and Josh as they write their first line of code, and join them for their final showdown with Dr. One-Zero."--Slipcase.