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Deep Learning Patterns and Practices
- Narrado por: Mark Thomas
- Duración: 13 h y 45 m
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Deep Learning Patterns and Practices
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Resumen del Editor
Discover best practices, reproducible architectures, and design patterns to help guide deep learning models from the lab into production.
In Deep Learning Patterns and Practices you will learn:
- Internal functioning of modern convolutional neural networks
- Procedural reuse design pattern for CNN architectures
- Models for mobile and IoT devices
- Assembling large-scale model deployments
- Optimizing hyperparameter tuning
- Migrating a model to a production environment
The big challenge of deep learning lies in taking cutting-edge technologies from R&D labs through to production. Deep Learning Patterns and Practices is here to help. This unique guide lays out the latest deep learning insights from author Andrew Ferlitsch’s work with Google Cloud AI. In it, you'll find deep learning models presented in a unique new way: As extendable design patterns you can easily plug-and-play into your software projects. Each valuable technique is presented in a way that's easy to understand.
About the technology:
Discover best practices, design patterns, and reproducible architectures that will guide your deep learning projects from the lab into production. This awesome audiobook collects and illuminates the most relevant insights from a decade of real world deep learning experience.
About the audiobook:
Deep Learning Patterns and Practices is a deep dive into building successful deep learning applications. You’ll save hours of trial-and-error by applying proven patterns and practices to your own projects. Tested code samples, real-world examples, and a brilliant narrative style make even complex concepts simple and engaging. Along the way, you’ll get tips for deploying, testing, and maintaining your projects.
About the audience:
For machine learning engineers familiar with Python and deep learning.
About the author:
Andrew Ferlitsch is an expert on computer vision, deep learning, and operationalizing ML in production at Google Cloud AI Developer Relations.
PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
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In Glow Kids, Dr. Nicholas Kardaras will examine how technology - more specifically, age-inappropriate screen tech, with all of its glowing ubiquity - has profoundly affected the brains of an entire generation. Brain imaging research is showing that stimulating glowing screens are as dopaminergic (dopamine activating) to the brain’s pleasure center as sex. And a growing mountain of clinical research correlates screen tech with disorders like ADHD, addiction, anxiety, depression, increased aggression, and even psychosis.
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1 out of 5 stars
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Fear Mongering - a modern day Mazes and Monsters
- De Veronica en 11-03-20
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YouTube Secrets
- The Ultimate Guide to Growing Your Following and Making Money as a Video Influencer
- De: Sean Cannell, Benji Travis
- Narrado por: Sean Cannell, Benji Travis
- Duración: 5 h y 29 m
- Versión completa
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General4.5 out of 5 stars 1,226
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Narración:4.5 out of 5 stars 1,041
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Historia4.5 out of 5 stars 1,027
YouTube sensations and best-selling authors Sean Cannell and Benji Travis take your YouTube channel from slow and dormant to accelerated and engaged, using premium and updated YouTube growth tips for creators, business owners, digital entrepreneurs, and influencers. This is the ultimate game plan to grow a following and make money with the power of video.
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3 out of 5 stars
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Don't use a credit on this. Moderately passable
- De Scott en 08-04-19
De: Sean Cannell, y otros
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The Grid
- The Fraying Wires Between Americans and Our Energy Future
- De: Gretchen Bakke
- Narrado por: Emily Caudwell
- Duración: 11 h y 8 m
- Versión completa
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General4.5 out of 5 stars 1,297
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Narración:4.5 out of 5 stars 1,117
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Historia4.5 out of 5 stars 1,114
The grid is an accident of history and of culture, in no way intrinsic to how we produce, deliver and consume electrical power. Yet this is the system the United States ended up with, a jerry-built structure now so rickety and near collapse that a strong wind or a hot day can bring it to a grinding halt. The grid is now under threat from a new source: renewable and variable energy, which puts stress on its logics as much as its components.
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2 out of 5 stars
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A disappointment
- De Ronald en 09-24-16
De: Gretchen Bakke
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Algorithms of Oppression
- How Search Engines Reinforce Racism
- De: Safiya Umoja Noble
- Narrado por: Shayna Small
- Duración: 6 h y 21 m
- Versión completa
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General4.5 out of 5 stars 374
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Narración:4.5 out of 5 stars 317
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Historia4.5 out of 5 stars 315
Run a Google search for “black girls” - what will you find? “Big Booty” and other sexually explicit terms are likely to come up as top search terms. But, if you type in “white girls”, the results are radically different. The suggested porn sites and un-moderated discussions about “why black women are so sassy” or “why black women are so angry” presents a disturbing portrait of black womanhood in modern society. In Algorithms of Oppression, Safiya Umoja Noble challenges the idea that search engines like Google offer an equal playing field for all forms of ideas, identities, and activities.
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5 out of 5 stars
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Read this book. Tell everyone you know about it.
- De Joshua Daniel-Wariya en 06-06-19
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Doom Guy
- Life in First Person
- De: John Romero
- Narrado por: John Romero
- Duración: 17 h y 4 m
- Versión completa
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General5 out of 5 stars 220
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Narración:5 out of 5 stars 184
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Historia5 out of 5 stars 184
Doom Guy: Life in First Person is the long-awaited autobiography of gaming’s original rock star and the cocreator of DOOM, Quake, and Wolfenstein—some of the most recognizable and important titles in video game history. Credited with the invention of the first-person shooter, a genre that continues to dominate the market today, he is gaming royalty. Told in remarkable detail, a byproduct of his hyperthymesia, Romero recounts his storied career.
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5 out of 5 stars
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Intimate stories of gaming history in First Person
- De Emyli en 07-28-23
De: John Romero
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The Complete Software Developer's Career Guide
- How to Learn Programming Languages Quickly, Ace Your Programming Interview, and Land Your Software Developer Dream Job
- De: John Sonmez
- Narrado por: John Sonmez
- Duración: 20 h y 4 m
- Versión completa
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General4.5 out of 5 stars 1,000
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Narración:4.5 out of 5 stars 877
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Historia4.5 out of 5 stars 865
Technical knowledge alone isn't enough - increase your software development income by leveling up your soft skills Early in his software developer career, John Sonmez discovered that technical knowledge alone isn't enough to break through to the next income level - developers need "soft skills" like the ability to learn new technologies just in time, communicate clearly with management and consulting clients, negotiate a fair hourly rate, and unite teammates and coworkers in working toward a common goal.
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2 out of 5 stars
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The Complete Bro-grammer's Career Guide
- De Leels en 09-18-19
De: John Sonmez
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Slenderman
- Online Obsession, Mental Illness, and the Violent Crime of Two Midwestern Girls
- De: Kathleen Hale
- Narrado por: Therese Plummer
- Duración: 9 h y 31 m
- Versión completa
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General4.5 out of 5 stars 359
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Narración:4.5 out of 5 stars 318
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Historia4.5 out of 5 stars 318
On May 31, 2014, in the Milwaukee suburb of Waukesha, Wisconsin, two 12-year-old girls attempted to stab their classmate to death. Morgan Geyser and Anissa Weier’s violence was extreme, but what seemed even more frightening was that they committed their crime under the influence of a figure born by the internet: the so-called “Slenderman”. Yet the even more urgent aspect of the story, that the children involved suffered from undiagnosed mental illnesses, often went overlooked in coverage of the case.
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3 out of 5 stars
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Excellent narration
- De Pink Amy en 08-21-22
De: Kathleen Hale
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Recoding History: Audacious Women Who Shaped Our Digital World
- De: Treefort Media
- Narrado por: Reshma Saujani
- Duración: 4 h y 48 m
- Grabación Original
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General4.5 out of 5 stars 20
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Narración:4.5 out of 5 stars 17
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Historia5 out of 5 stars 17
Recoding History: The Audacious Women Who Shaped Our Digital World is an immersive look into the lives of some of computer history's most ingenious and audacious women. Pulling from the Computer History Museum’s archives and hosted by Reshma Saujani, the founder of Girls Who Code, listeners will learn and laugh along with these great minds as they recount their stories in their own words.
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5 out of 5 stars
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Breaking the Glass Ceiling
- De Dt en 03-03-24
De: Treefort Media
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Social Media Marketing Workbook: 2024 Edition - How to Use Social Media for Business
- De: Jason McDonald PhD
- Narrado por: Michael Goodrick
- Duración: 14 h y 37 m
- Versión completa
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General4 out of 5 stars 100
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Narración:4 out of 5 stars 84
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Historia4 out of 5 stars 83
Learn social media marketing in plain English—step by step! Buy the workbook used at Stanford Continuing Studies to teach social media marketing for business. The 2023 updated edition—all info verified and a new chapter on TikTok, plus revisions on LinkedIn, Facebook, and other major platforms....
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5 out of 5 stars
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Great SM Reference
- De Anne en 12-31-18
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Super Pumped
- The Battle for Uber
- De: Mike Isaac
- Narrado por: Holter Graham, Mike Isaac
- Duración: 12 h y 52 m
- Versión completa
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General4.5 out of 5 stars 1,925
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Narración:4.5 out of 5 stars 1,609
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Historia4.5 out of 5 stars 1,603
A New York Times technology correspondent presents the dramatic rise and fall of Uber, set against the rapid upheaval in Silicon Valley during the mobile era. Based on hundreds of interviews with current and former Uber employees, along with previously unpublished documents, Super Pumped is a pause-resisting story of ambition and deception, obscene wealth, and bad behavior, that explores how blistering technological and financial innovation culminated in one of the most catastrophic 12-month periods in American corporate history.
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2 out of 5 stars
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A forced narrative and a bad version of Bad Blood
- De Benji en 09-09-19
De: Mike Isaac
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The Box
- How the Shipping Container Made the World Smaller and the World Economy Bigger
- De: Marc Levinson
- Narrado por: Adam Lofbomm
- Duración: 12 h y 20 m
- Versión completa
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General4.5 out of 5 stars 661
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Narración:4.5 out of 5 stars 535
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Historia4.5 out of 5 stars 538
In April 1956, a refitted oil tanker carried 58 shipping containers from Newark to Houston. From that modest beginning, container shipping developed into a huge industry that made the boom in global trade possible. The Box tells the dramatic story of the container's creation, the decade of struggle before it was widely adopted, and the sweeping economic consequences of the sharp fall in transportation costs that containerization brought about.
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4 out of 5 stars
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Fascinating Topic sometimes lost in minutiae
- De zombie64 en 07-15-14
De: Marc Levinson
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Hackers: Heroes of the Computer Revolution
- 25th Anniversary Edition
- De: Steven Levy
- Narrado por: Mike Chamberlain
- Duración: 20 h y 23 m
- Versión completa
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General4.5 out of 5 stars 1,928
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Narración:4.5 out of 5 stars 1,706
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Historia4.5 out of 5 stars 1,702
Steven Levy's classic book traces the exploits of the computer revolution's original hackers - those brilliant and eccentric nerds from the late 1950s through the early '80s who took risks, bent the rules, and pushed the world in a radical new direction. With updated material from noteworthy hackers such as Bill Gates, Mark Zuckerberg, Richard Stallman, and Steve Wozniak, Hackers is a fascinating story that begins in early computer research labs and leads to the first home computers.
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5 out of 5 stars
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Remember Why You Got Into Computing
- De Dan Collins en 07-01-16
De: Steven Levy
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The Book of Satoshi
- The Collected Writings of Bitcoin Creator Satoshi Nakamoto, 1st Edition
- De: Phil Champagne
- Narrado por: Stephanie Murphy
- Duración: 7 h y 27 m
- Versión completa
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General4.5 out of 5 stars 244
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Narración:4.5 out of 5 stars 212
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Historia4.5 out of 5 stars 213
The Book of Satoshi, the collected writings of Satoshi Nakamoto, creator of the bitcoin. The foreword was written by Jeff Berwick.
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5 out of 5 stars
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Great historic read that'll teach the blockchain
- De Peter Hanson en 05-19-16
De: Phil Champagne
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Prediction Machines
- The Simple Economics of Artificial Intelligence
- De: Ajay Agrawal, Joshua Gans, Avi Goldfarb
- Narrado por: LJ Ganser
- Duración: 7 h y 50 m
- Versión completa
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General4.5 out of 5 stars 1,269
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Narración:4.5 out of 5 stars 1,089
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Historia4 out of 5 stars 1,086
Artificial intelligence does the seemingly impossible - driving cars, trading stocks, and teaching children. But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs.
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3 out of 5 stars
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Not sure what I was expecting, but underwhelmed
- De William J Brown en 09-27-18
De: Ajay Agrawal, y otros
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Our Final Invention
- Artificial Intelligence and the End of the Human Era
- De: James Barrat
- Narrado por: Gary Dana
- Duración: 9 h y 16 m
- Versión completa
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General4 out of 5 stars 831
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Narración:4 out of 5 stars 714
-
Historia4 out of 5 stars 718
Artificial Intelligence helps choose what books you buy, what movies you see, and even who you date. It puts the "smart" in your smartphone and soon it will drive your car. It makes most of the trades on Wall Street, and controls vital energy, water, and transportation infrastructure. But Artificial Intelligence can also threaten our existence. In as little as a decade, AI could match and then surpass human intelligence. Corporations and government agencies are pouring billions into achieving AI’s Holy Grail - human-level intelligence.
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2 out of 5 stars
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Kind of chilling
- De Keegan en 04-11-15
De: James Barrat
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No Place to Hide
- Edward Snowden, the NSA, and the U.S. Surveillance State
- De: Glenn Greenwald
- Narrado por: L. J. Ganser
- Duración: 9 h y 49 m
- Versión completa
-
General4.5 out of 5 stars 2,910
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Narración:4.5 out of 5 stars 2,588
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Historia4.5 out of 5 stars 2,582
In May 2013, Glenn Greenwald set out for Hong Kong to meet an anonymous source who claimed to have astonishing evidence of pervasive government spying and insisted on communicating only through heavily encrypted channels. That source turned out to be the 29-year-old NSA contractor Edward Snowden, and his revelations about the agency’s widespread, systemic overreach proved to be some of the most explosive and consequential news in recent history, triggering a fierce debate over national security....
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3 out of 5 stars
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Best Read in Print Format
- De Alfredo Ramirez en 11-22-14
De: Glenn Greenwald
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GANs in Action
- Deep Learning with Generative Adversarial Networks
- De: Jakub Langr, Vladimir Bok
- Narrado por: Julie Brierley
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General4.5 out of 5 stars 3
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Narración:4.5 out of 5 stars 3
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Historia5 out of 5 stars 3
GANs in Action teaches you how to build and train your own Generative Adversarial Networks, one of the most important innovations in deep learning. In this book, you'll learn how to start building your own simple adversarial system as you explore the foundation of GAN architecture: the generator and discriminator networks.
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Deep Learning with Python (Second Edition)
- De: Francois Chollet
- Narrado por: Derek Dysart
- Duración: 15 h y 1 m
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General3.5 out of 5 stars 12
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Narración:4.5 out of 5 stars 10
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Historia4 out of 5 stars 10
Deep Learning with Python (Second Edition) introduces the field of deep learning using Python and the powerful Keras library. In this revised and expanded new edition, Keras creator François Chollet offers insights for both novice and experienced machine learning practitioners. As you move through this book, you’ll build your understanding through intuitive explanations and clear examples. You’ll quickly pick up the skills you need to start developing deep learning applications.
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1 out of 5 stars
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Audible version is useless - has no PDF
- De Amazon Customer en 03-04-22
De: Francois Chollet
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Deep Learning with PyTorch
- Build, Train, and Tune Neural Networks Using Python Tools
- De: Eli Stevens, Luca Antiga, Thomas Viehmann
- Narrado por: Mark Thomas
- Duración: 15 h y 26 m
- Versión completa
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General1 out of 5 stars 1
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Narración:3 out of 5 stars 1
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Historia1 out of 5 stars 1
There are countless ways to put deep learning to good use: improved medical imaging, credit card fraud detection, long range weather forecasting. PyTorch puts these superpowers in your hands, providing a comfortable Python experience that gets you started quickly and then grows with you as you - and your deep-learning skills - become more sophisticated.
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1 out of 5 stars
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Absolutely not suitable for audio
- De Actionwatcher en 08-15-23
De: Eli Stevens, y otros
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Deep Learning with Python
- De: Francois Chollet
- Narrado por: Mark Thomas
- Duración: 9 h y 55 m
- Versión completa
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General4.5 out of 5 stars 50
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Narración:5 out of 5 stars 44
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Historia4.5 out of 5 stars 43
Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this audiobook builds your understanding through intuitive explanations and practical examples. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects.
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4 out of 5 stars
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Almost Perfect - Better when paired with the book
- De Graham en 10-30-18
De: Francois Chollet
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Deep Learning
- MIT Press Essential Knowledge Series
- De: John D. Kelleher
- Narrado por: Joel Richards
- Duración: 5 h y 49 m
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General4 out of 5 stars 16
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Narración:4 out of 5 stars 14
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Historia4.5 out of 5 stars 14
In this volume in the MIT Press Essential Knowledge series, computer scientist John Kelleher offers an accessible and concise but comprehensive introduction to the fundamental technology at the heart of the artificial intelligence revolution. Kelleher explains some of the basic concepts in deep learning, presents a history of advances in the field, and discusses the current state of the art.
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1 out of 5 stars
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Yikes
- De Elliot Blanford en 10-27-19
De: John D. Kelleher
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AI and Machine Learning for Coders
- A Programmer's Guide to Artificial Intelligence
- De: Laurence Moroney
- Narrado por: Timothy Howard Jackson
- Duración: 9 h y 17 m
- Versión completa
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General4.5 out of 5 stars 12
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Narración:4 out of 5 stars 7
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Historia4 out of 5 stars 7
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.
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5 out of 5 stars
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Perfect introduction to machine, learning, and artificial intelligence for any programmer!
- De Luc en 08-11-23
De: Laurence Moroney
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GANs in Action
- Deep Learning with Generative Adversarial Networks
- De: Jakub Langr, Vladimir Bok
- Narrado por: Julie Brierley
- Duración: 6 h y 23 m
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General4.5 out of 5 stars 3
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Narración:4.5 out of 5 stars 3
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Historia5 out of 5 stars 3
GANs in Action teaches you how to build and train your own Generative Adversarial Networks, one of the most important innovations in deep learning. In this book, you'll learn how to start building your own simple adversarial system as you explore the foundation of GAN architecture: the generator and discriminator networks.
De: Jakub Langr, y otros
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Deep Learning with Python (Second Edition)
- De: Francois Chollet
- Narrado por: Derek Dysart
- Duración: 15 h y 1 m
- Versión completa
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General3.5 out of 5 stars 12
-
Narración:4.5 out of 5 stars 10
-
Historia4 out of 5 stars 10
Deep Learning with Python (Second Edition) introduces the field of deep learning using Python and the powerful Keras library. In this revised and expanded new edition, Keras creator François Chollet offers insights for both novice and experienced machine learning practitioners. As you move through this book, you’ll build your understanding through intuitive explanations and clear examples. You’ll quickly pick up the skills you need to start developing deep learning applications.
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1 out of 5 stars
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Audible version is useless - has no PDF
- De Amazon Customer en 03-04-22
De: Francois Chollet
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Deep Learning with PyTorch
- Build, Train, and Tune Neural Networks Using Python Tools
- De: Eli Stevens, Luca Antiga, Thomas Viehmann
- Narrado por: Mark Thomas
- Duración: 15 h y 26 m
- Versión completa
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General1 out of 5 stars 1
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Narración:3 out of 5 stars 1
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Historia1 out of 5 stars 1
There are countless ways to put deep learning to good use: improved medical imaging, credit card fraud detection, long range weather forecasting. PyTorch puts these superpowers in your hands, providing a comfortable Python experience that gets you started quickly and then grows with you as you - and your deep-learning skills - become more sophisticated.
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1 out of 5 stars
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Absolutely not suitable for audio
- De Actionwatcher en 08-15-23
De: Eli Stevens, y otros
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Deep Learning with Python
- De: Francois Chollet
- Narrado por: Mark Thomas
- Duración: 9 h y 55 m
- Versión completa
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General4.5 out of 5 stars 50
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Narración:5 out of 5 stars 44
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Historia4.5 out of 5 stars 43
Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this audiobook builds your understanding through intuitive explanations and practical examples. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects.
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4 out of 5 stars
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Almost Perfect - Better when paired with the book
- De Graham en 10-30-18
De: Francois Chollet
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Deep Learning
- MIT Press Essential Knowledge Series
- De: John D. Kelleher
- Narrado por: Joel Richards
- Duración: 5 h y 49 m
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General4 out of 5 stars 16
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Narración:4 out of 5 stars 14
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Historia4.5 out of 5 stars 14
In this volume in the MIT Press Essential Knowledge series, computer scientist John Kelleher offers an accessible and concise but comprehensive introduction to the fundamental technology at the heart of the artificial intelligence revolution. Kelleher explains some of the basic concepts in deep learning, presents a history of advances in the field, and discusses the current state of the art.
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1 out of 5 stars
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Yikes
- De Elliot Blanford en 10-27-19
De: John D. Kelleher
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AI and Machine Learning for Coders
- A Programmer's Guide to Artificial Intelligence
- De: Laurence Moroney
- Narrado por: Timothy Howard Jackson
- Duración: 9 h y 17 m
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General4.5 out of 5 stars 12
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Narración:4 out of 5 stars 7
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Historia4 out of 5 stars 7
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.
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5 out of 5 stars
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Perfect introduction to machine, learning, and artificial intelligence for any programmer!
- De Luc en 08-11-23
De: Laurence Moroney
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Math for Programmers
- 3D Graphics, Machine Learning, and Simulations with Python
- De: Paul Orland
- Narrado por: Derek Lettman
- Duración: 17 h y 17 m
- Versión completa
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General4 out of 5 stars 4
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Narración:4 out of 5 stars 3
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Historia3 out of 5 stars 3
To score a job in data science, machine learning, computer graphics, and cryptography, you need to bring strong math skills to the party. Math for Programmers teaches the math you need for these hot careers, concentrating on what you need to know as a developer. Filled with lots of helpful graphics and more than 200 exercises and mini-projects, this book unlocks the door to interesting - and lucrative! - careers in some of today’s hottest programming fields about the technology.
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1 out of 5 stars
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Not useful because there are no chapters :(
- De Katherine Snow en 06-08-22
De: Paul Orland
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AI at the Edge
- Solving Real-World Problems with Embedded Machine Learning
- De: Daniel Situnayake, Jenny Plunkett
- Narrado por: Suzie Althens
- Duración: 17 h y 17 m
- Versión completa
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General5 out of 5 stars 2
-
Narración:5 out of 5 stars 1
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Historia5 out of 5 stars 1
Edge AI is transforming the way computers interact with the real world, allowing IoT devices to make decisions using the 99% of sensor data that was previously discarded due to cost, bandwidth, or power limitations. With techniques like embedded machine learning, developers can capture human intuition and deploy it to any target—from ultra-low power microcontrollers to embedded Linux devices.
De: Daniel Situnayake, y otros
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Grokking Artificial Intelligence Algorithms
- Understand and Apply the Core Algorithms of Deep Learning and Artificial Intelligence in This Friendly Illustrated Guide Including Exercises and Examples
- De: Rishal Hurbans
- Narrado por: Jeromy Lloyd, Julie Brierley
- Duración: 7 h y 25 m
- Versión completa
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General3.5 out of 5 stars 7
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Narración:3.5 out of 5 stars 6
-
Historia4 out of 5 stars 6
Grokking Artificial Intelligence Algorithms is a fully illustrated and interactive tutorial guide to the different approaches and algorithms that underpin AI. Written in simple language and with lots of visual references and hands-on examples, you'll learn the concepts, terminology, and theory you need to effectively incorporate AI algorithms into your applications. And to make sure you truly grok as you go, you'll use each algorithm in practice with creative coding exercises.
De: Rishal Hurbans
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The Self-Assembling Brain
- How Neural Networks Grow Smarter
- De: Peter Robin Hiesinger
- Narrado por: Joel Richards
- Duración: 12 h y 22 m
- Versión completa
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General5 out of 5 stars 5
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Narración:5 out of 5 stars 4
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Historia5 out of 5 stars 4
How does a neural network become a brain? While neurobiologists investigate how nature accomplishes this feat, computer scientists interested in AI strive to achieve this through technology. The Self-Assembling Brain tells the stories of both fields, exploring the historical and modern approaches taken by the scientists pursuing answers to the quandary: What information is necessary to make an intelligent neural network? As Peter Robin Hiesinger argues, "the information problem" underlies both fields.
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Grokking Machine Learning
- De: Luis Serrano
- Narrado por: Marianne Sheehan
- Duración: 15 h y 1 m
- Versión completa
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General1 out of 5 stars 1
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Narración:1 out of 5 stars 1
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Historia1 out of 5 stars 1
Discover valuable machine learning techniques you can understand and apply using just high school math. Grokking Machine Learning teaches you how to apply ML to your projects using only standard Python code and high school-level math. No specialist knowledge is required to tackle the hands-on exercises using Python and readily available machine learning tools. Packed with easy-to-follow Python-based exercises and mini-projects, this book sets you on the path to becoming a machine learning expert.
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1 out of 5 stars
-
Bad as an audiobook
- De Amazon Customer en 04-05-24
De: Luis Serrano
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API Design Patterns
- De: JJ Geewax
- Narrado por: Sarah Dawe
- Duración: 16 h y 34 m
- Versión completa
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General4 out of 5 stars 4
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Narración:3.5 out of 5 stars 4
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Historia4 out of 5 stars 4
API Design Patterns lays out a set of design principles for building internal and public-facing APIs. Google API expert JJ Geewax presents patterns that ensure your APIs are consistent, scalable, and flexible. You’ll improve the design of the most common APIs, plus discover techniques for tricky edge cases. Relevant examples and detailed scenarios make every pattern clear and easy to understand.
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3 out of 5 stars
-
Narration is unbearable
- De JC en 11-13-22
De: JJ Geewax
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Graph-Powered Machine Learning
- De: Alessandro Negro
- Narrado por: Julie Brierley
- Duración: 12 h y 27 m
- Versión completa
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General4 out of 5 stars 1
-
Narración:0 out of 5 stars 0
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Historia0 out of 5 stars 0
Graph-Powered Machine Learning teaches to use graph-based algorithms and data organization strategies to develop superior machine learning applications. You’ll dive into the role of graphs in machine learning and big data platforms, and take an in-depth look at data source modeling, algorithm design, recommendations, and fraud detection. Explore end-to-end projects that illustrate architectures and help you optimize with best design practices.
De: Alessandro Negro
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Artificial Intelligence for Dummies
- De: John Mueller, Luca Massaron
- Narrado por: Chris Sorensen
- Duración: 13 h y 32 m
- Versión completa
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General3.5 out of 5 stars 38
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Narración:3 out of 5 stars 30
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Historia3.5 out of 5 stars 30
In this audiobook, you'll get a clear overview of artificial intelligence technology, the common misconceptions surrounding it, and a fascinating look at its applications in everything from self-driving cars and drones to its contributions in the medical field.
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1 out of 5 stars
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Outdated
- De Timothy C. en 05-31-23
De: John Mueller, y otros
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Database Internals
- A Deep Dive into How Distributed Data Systems Work, 1st Edition
- De: Alex Petrov
- Narrado por: Mike Chamberlain
- Duración: 12 h y 51 m
- Versión completa
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General4.5 out of 5 stars 3
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Narración:5 out of 5 stars 2
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Historia4 out of 5 stars 2
When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it's often difficult to understand what each one offers. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals.
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5 out of 5 stars
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I can't believe this exists as an audiobook.
- De Michael Marcin en 12-18-23
De: Alex Petrov
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Building Microservices
- Designing Fine-Grained Systems
- De: Sam Newman
- Narrado por: Theodore O'Brien
- Duración: 21 h y 12 m
- Versión completa
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General5 out of 5 stars 89
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Narración:5 out of 5 stars 70
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Historia5 out of 5 stars 69
As organizations shift from monolithic applications to smaller, self-contained microservices, distributed systems have become more fine-grained. But developing these new systems brings its own host of problems. This expanded second edition takes a holistic view of topics that you need to consider when building, managing, and scaling microservices architectures. Through clear examples and practical advice, author Sam Newman gives everyone from architects and developers to testers and IT operators a firm grounding in the concepts.
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5 out of 5 stars
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Easy to Understand
- De Anonymous User en 04-27-22
De: Sam Newman
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Time Series Forecasting in Python
- De: Marco Peixeiro
- Narrado por: Adam Newmark
- Duración: 10 h y 54 m
- Versión completa
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General1 out of 5 stars 1
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Narración:2 out of 5 stars 1
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Historia1 out of 5 stars 1
Time Series Forecasting in Python teaches you to build powerful predictive models from time-based data. Every model you create is relevant, useful, and easy to implement with Python. You’ll explore interesting real-world datasets like Google’s daily stock price and economic data for the USA, quickly progressing from the basics to developing large-scale models that use deep learning tools like TensorFlow.
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1 out of 5 stars
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Not meant to be an audiobook
- De juliamc en 12-12-23
De: Marco Peixeiro
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Fundamentals of Data Engineering
- Plan and Build Robust Data Systems
- De: Joe Reis, Matt Housley
- Narrado por: Adam Verner
- Duración: 17 h y 31 m
- Versión completa
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General4.5 out of 5 stars 13
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Narración:4.5 out of 5 stars 9
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Historia4 out of 5 stars 9
Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle.
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5 out of 5 stars
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Great book and narrator
- De Alexey en 01-30-24
De: Joe Reis, y otros