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Time Series Forecasting in Python
- Narrado por: Adam Newmark
- Duración: 10 h y 54 m
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Resumen del Editor
Build predictive models from time-based patterns in your data. Master statistical models including new deep learning approaches for time series forecasting.
In this book you will learn how to:
- Recognize a time series forecasting problem and build a performant predictive model
- Create univariate forecasting models that account for seasonal effects and external variables
- Build multivariate forecasting models to predict many time series at once
- Leverage large datasets by using deep learning for forecasting time series
- Automate the forecasting process
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.
About the technology
You can predict the future—with a little help from Python, deep learning, and time series data! Time series forecasting is a technique for modeling time-centric data to identify upcoming events. New Python libraries and powerful deep learning tools make accurate time series forecasts easier than ever before.
About the book
This accessible book teaches you how to get immediate, meaningful predictions from time-based data such as logs, customer analytics, and other event streams. You’ll learn statistical and deep learning methods for time series forecasting, fully demonstrated with Python code. Develop your skills with projects like predicting the future volume of drug prescriptions, and you’ll soon be ready to build your own accurate, insightful forecasts.
About the listener
For data scientists familiar with Python and TensorFlow.
About the author
Marco Peixeiro is a seasoned data science instructor who has worked as a data scientist for one of Canada’s largest banks.
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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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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Great SM Reference
- De Anne en 12-31-18
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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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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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Breaking the Glass Ceiling
- De Dt en 03-03-24
De: Treefort Media
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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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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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Remember Why You Got Into Computing
- De Dan Collins en 07-01-16
De: Steven Levy
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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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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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Intimate stories of gaming history in First Person
- De Emyli en 07-28-23
De: John Romero
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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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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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Fascinating Topic sometimes lost in minutiae
- De zombie64 en 07-15-14
De: Marc Levinson
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You Are Here
- From the Compass to GPS, the History and Future of How We Find Ourselves
- De: Hiawatha Bray
- Narrado por: Jonathan Yen
- Duración: 10 h y 28 m
- Versión completa
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The story of the rise of modern navigation technology, from radio location to GPS—and the consequent decline of privacy. What does it mean to never get lost? You Are Here examines the rise of our technologically aided era of navigational omniscience—or how we came to know exactly where we are at all times. Filled with tales of scientists and astronauts, inventors and entrepreneurs, You Are Here tells the story of how humankind ingeniously solved one of its oldest and toughest problems—only to herald a new era in which it’s impossible to hide.
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I'm here - do you care
- De Nicholas E. Ertz en 04-13-14
De: Hiawatha Bray
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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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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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Excellent narration
- De Pink Amy en 08-21-22
De: Kathleen Hale
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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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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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A forced narrative and a bad version of Bad Blood
- De Benji en 09-09-19
De: Mike Isaac
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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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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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Read this book. Tell everyone you know about it.
- De Joshua Daniel-Wariya en 06-06-19
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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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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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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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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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Audible version is useless - has no PDF
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Machine Learning Bookcamp
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In Machine Learning Bookcamp, you’ll create and deploy Python-based machine learning models for a variety of increasingly challenging projects. Taking you from the basics of machine learning to complex applications such as image analysis, each new project builds on what you’ve learned in previous chapters. You’ll build a portfolio of business-relevant machine learning projects that hiring managers will be excited to see.
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Fundamentals of Data Engineering
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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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Great book and narrator
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AI and Machine Learning for Coders
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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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Perfect introduction to machine, learning, and artificial intelligence for any programmer!
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Database Internals
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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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I can't believe this exists as an audiobook.
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Operations Anti-Patterns, DevOps Solutions
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Operations Anti-Patterns, DevOps Solutions shows how to implement DevOps techniques in the kind of imperfect environments most developers work in. Part technology tutorial, part reference manual, and part psychology handbook, this practical guide shows you realistic ways to bring DevOps to your team when you don't have the flexibility to make sweeping changes in organizational structure.
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Good content and very suitable for audiobook
- De Anonymous User en 01-10-23
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Deep Learning with Python (Second Edition)
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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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Audible version is useless - has no PDF
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In Machine Learning Bookcamp, you’ll create and deploy Python-based machine learning models for a variety of increasingly challenging projects. Taking you from the basics of machine learning to complex applications such as image analysis, each new project builds on what you’ve learned in previous chapters. You’ll build a portfolio of business-relevant machine learning projects that hiring managers will be excited to see.
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Thank you!
- De Anonymous en 01-25-23
De: Alexey Grigorev
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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
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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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Great book and narrator
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AI and Machine Learning for Coders
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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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Perfect introduction to machine, learning, and artificial intelligence for any programmer!
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Database Internals
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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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I can't believe this exists as an audiobook.
- De Michael Marcin en 12-18-23
De: Alex Petrov
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Operations Anti-Patterns, DevOps Solutions
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- Narrado por: Julie Brierley
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Operations Anti-Patterns, DevOps Solutions shows how to implement DevOps techniques in the kind of imperfect environments most developers work in. Part technology tutorial, part reference manual, and part psychology handbook, this practical guide shows you realistic ways to bring DevOps to your team when you don't have the flexibility to make sweeping changes in organizational structure.
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Good content and very suitable for audiobook
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Math for Programmers
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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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Not useful because there are no chapters :(
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Advanced Algorithms and Data Structures
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As a software engineer, you’ll encounter countless programming challenges that initially seem confusing, difficult, or even impossible. Don’t despair! Many of these “new” problems already have well-established solutions. Advanced Algorithms and Data Structures teaches you powerful approaches to a wide range of tricky coding challenges that you can adapt and apply to your own applications. Providing a balanced blend of classic, advanced, and new algorithms, this practical guide upgrades your programming toolbox with new perspectives and hands-on techniques.
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Wonderful audio textbook!
- De Howard_a en 11-02-21
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Production Kubernetes
- Building Successful Application Platforms
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Kubernetes has become the dominant container orchestrator, but many organizations that have recently adopted this system are still struggling to run actual production workloads. In this practical book, four software engineers from VMware bring their shared experiences running Kubernetes in production and provide insight on key challenges and best practices.
De: Josh Rosso, y otros
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Introducing Python (2nd Edition)
- Modern Computing in Simple Packages
- De: Bill Lubanovic
- Narrado por: Derek Dysart
- Duración: 13 h y 3 m
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Easy to understand and engaging, this updated edition of Introducing Python is ideal for beginning programmers as well as those new to the language. Author Bill Lubanovic takes you from the basics to more involved and varied topics, mixing tutorials with cookbook-style code recipes to explain concepts in Python 3. End-of-chapter exercises help you practice what you've learned.
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Exactly what I wanted and expected.
- De ridgeway137 en 03-05-24
De: Bill Lubanovic
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Software Architecture: The Hard Parts
- Modern Trade-Off Analyses for Distributed Architectures
- De: Neal Ford, Mark Richards, Pramod Sadalage, y otros
- Narrado por: Dena Dahilig
- Duración: 12 h y 53 m
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General
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There are no easy decisions in software architecture. Instead, there are many hard parts—difficult problems or issues with no best practices—that force you to choose among various compromises. With this book, you'll learn how to think critically about the trade-offs involved with distributed architectures. Architecture veterans and practicing consultants Neal Ford, Mark Richards, Pramod Sadalage, and Zhamak Dehghani discuss strategies for choosing an appropriate architecture.
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Great content. Terrible narration.
- De Alex en 12-16-23
De: Neal Ford, y otros
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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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General
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Narración:
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Historia
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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Monolith to Microservices
- Evolutionary Patterns to Transform Your Monolith
- De: Sam Newman
- Narrado por: Mitchell Dorian
- Duración: 6 h y 45 m
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Historia
How do you detangle a monolithic system and migrate it to a microservice architecture? How do you do it while maintaining business-as-usual? As a companion to Sam Newman’s extremely popular Building Microservices, this new book details a proven method for transitioning an existing monolithic system to a microservice architecture.
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Pretty good, but could be better
- De Uri Simhony en 04-11-21
De: Sam Newman
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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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General
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Narración:
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Historia
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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Almost Perfect - Better when paired with the book
- De Graham en 10-30-18
De: Francois Chollet
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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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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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Easy to Understand
- De Anonymous User en 04-27-22
De: Sam Newman
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Graph-Powered Machine Learning
- De: Alessandro Negro
- Narrado por: Julie Brierley
- Duración: 12 h y 27 m
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Historia
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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Deep Learning Patterns and Practices
- De: Andrew Ferlitsch
- Narrado por: Mark Thomas
- Duración: 13 h y 45 m
- Versión completa
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General
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Historia
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, and migrating a model to a production environment.
De: Andrew Ferlitsch
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Everybody Lies
- Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
- De: Seth Stephens-Davidowitz, Steven Pinker - foreword
- Narrado por: Timothy Andrés Pabon
- Duración: 7 h y 39 m
- Versión completa
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Historia
By the end of on average day in the early 21st century, human beings searching the Internet will amass eight trillion gigabytes of data. This staggering amount of information - unprecedented in history - can tell us a great deal about who we are - the fears, desires, and behaviors that drive us, and the conscious and unconscious decisions we make. From the profound to the mundane, we can gain astonishing knowledge about the human psyche that less than 20 years ago seemed unfathomable.
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Leave out the politics please
- De Shane Hampson en 02-20-20
De: Seth Stephens-Davidowitz, y otros
Lo que los oyentes dicen sobre Time Series Forecasting in Python
Calificaciones medias de los clientesReseñas - Selecciona las pestañas a continuación para cambiar el origen de las reseñas.
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- juliamc
- 12-12-23
Not meant to be an audiobook
It's appaling how the publishers put zero effort into turning this book into an audiobook. Do not waste your time and money by investing this audiobook, it shouldn't even exist in Audible catalog.
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