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Building Intelligent Systems
- A Guide to Machine Learning Engineering
- Narrado por: Mike Norgaard
- Duración: 10 h y 19 m
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Resumen del Editor
Produce a fully functioning intelligent system that leverages machine learning and data from user interactions to improve over time and achieve success.
This audiobook teaches you how to build an intelligent system from end to end and leverage machine learning in practice. You will understand how to apply your existing skills in software engineering, data science, machine learning, management, and program management to produce working systems.
Building Intelligent Systems is based on more than a decade of experience building Internet-scale intelligent systems that have hundreds of millions of user interactions per day in some of the largest and most important software systems in the world.
What you'll learn:
- Understand the concept of an intelligent system: what it is good for, when you need one, and how to set it up for success.
- Design an intelligent user experience: achieve your objectives and produce data to help make the intelligent system better over time.
- Implement an intelligent system: execute, manage, and measure intelligent systems in practice.
- Create intelligence: use many approaches, including machine learning.
- Orchestrate an intelligent system: bring the parts together throughout its life cycle and achieve the impact you want.
This audiobook is for software engineers, machine learning practitioners, and technical managers who want to build effective intelligent systems.
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- 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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General
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Narración:
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Historia
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 overview of the fundamentals of data engineering!!
- De Anonymous User en 08-27-24
De: Joe Reis, y otros
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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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General
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Narración:
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Historia
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!
- De Luc en 08-11-23
De: Laurence Moroney
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Thinking in Systems
- A Primer
- De: Donella H. Meadows
- Narrado por: Tia Rider Sorensen
- Duración: 6 h y 26 m
- Versión completa
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General
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Narración:
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Historia
In the years following her role as the lead author of the international best seller, Limits to Growth - the first book to show the consequences of unchecked growth on a finite planet - Donella Meadows remained a pioneer of environmental and social analysis until her untimely death in 2001. Thinking in Systems is a concise and crucial book offering insight for problem-solving on scales ranging from the personal to the global. Edited by the Sustainability Institute's Diana Wright, this essential primer brings systems thinking out of the realm of computers and equations and into the tangible world....
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Skip to the Middle
- De John Chambers en 06-20-20
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Why Machines Learn
- The Elegant Math Behind Modern AI
- De: Anil Ananthaswamy
- Narrado por: Rene Ruiz
- Duración: 13 h y 30 m
- Versión completa
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General
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Narración:
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Historia
We are living through a revolution in machine learning-powered AI that shows no signs of slowing down. This technology is based on relatively simple mathematical ideas, some of which go back centuries, including linear algebra and calculus, the stuff of seventeenth- and eighteenth-century mathematics. It took the birth and advancement of computer science and the kindling of 1990s computer chips designed for video games to ignite the explosion of AI that we see today. In this enlightening book, Anil Ananthaswamy explains the fundamental math behind machine learning.
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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
- Versión completa
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General
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Narración:
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Historia
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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Yikes
- De Elliot Blanford en 10-27-19
De: John D. Kelleher
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The AI Playbook
- Mastering the Rare Art of Machine Learning Deployment (Management on the Cutting Edge)
- De: Eric Siegel
- Narrado por: Eric Siegel
- Duración: 9 h y 20 m
- Versión completa
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General
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Narración:
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Historia
The greatest tool is the hardest to use. Machine learning is the world's most important general-purpose technology—but it's notoriously difficult to launch. Outside Big Tech and a handful of other leading companies, machine learning initiatives routinely fail to deploy, never realizing value. What's missing? A specialized business practice suitable for wide adoption. In The AI Playbook, bestselling author Eric Siegel presents the gold-standard, six-step practice for ushering machine learning projects from conception to deployment.
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Basic book not worth time
- De Kindle Customer en 04-16-24
De: Eric Siegel
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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
-
General
-
Narración:
-
Historia
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.
-
-
Great overview of the fundamentals of data engineering!!
- De Anonymous User en 08-27-24
De: Joe Reis, y otros
-
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
-
General
-
Narración:
-
Historia
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.
-
-
Perfect introduction to machine, learning, and artificial intelligence for any programmer!
- De Luc en 08-11-23
De: Laurence Moroney
-
Thinking in Systems
- A Primer
- De: Donella H. Meadows
- Narrado por: Tia Rider Sorensen
- Duración: 6 h y 26 m
- Versión completa
-
General
-
Narración:
-
Historia
In the years following her role as the lead author of the international best seller, Limits to Growth - the first book to show the consequences of unchecked growth on a finite planet - Donella Meadows remained a pioneer of environmental and social analysis until her untimely death in 2001. Thinking in Systems is a concise and crucial book offering insight for problem-solving on scales ranging from the personal to the global. Edited by the Sustainability Institute's Diana Wright, this essential primer brings systems thinking out of the realm of computers and equations and into the tangible world....
-
-
Skip to the Middle
- De John Chambers en 06-20-20
-
Why Machines Learn
- The Elegant Math Behind Modern AI
- De: Anil Ananthaswamy
- Narrado por: Rene Ruiz
- Duración: 13 h y 30 m
- Versión completa
-
General
-
Narración:
-
Historia
We are living through a revolution in machine learning-powered AI that shows no signs of slowing down. This technology is based on relatively simple mathematical ideas, some of which go back centuries, including linear algebra and calculus, the stuff of seventeenth- and eighteenth-century mathematics. It took the birth and advancement of computer science and the kindling of 1990s computer chips designed for video games to ignite the explosion of AI that we see today. In this enlightening book, Anil Ananthaswamy explains the fundamental math behind machine learning.
-
Deep Learning
- MIT Press Essential Knowledge Series
- De: John D. Kelleher
- Narrado por: Joel Richards
- Duración: 5 h y 49 m
- Versión completa
-
General
-
Narración:
-
Historia
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.
-
-
Yikes
- De Elliot Blanford en 10-27-19
De: John D. Kelleher
-
The AI Playbook
- Mastering the Rare Art of Machine Learning Deployment (Management on the Cutting Edge)
- De: Eric Siegel
- Narrado por: Eric Siegel
- Duración: 9 h y 20 m
- Versión completa
-
General
-
Narración:
-
Historia
The greatest tool is the hardest to use. Machine learning is the world's most important general-purpose technology—but it's notoriously difficult to launch. Outside Big Tech and a handful of other leading companies, machine learning initiatives routinely fail to deploy, never realizing value. What's missing? A specialized business practice suitable for wide adoption. In The AI Playbook, bestselling author Eric Siegel presents the gold-standard, six-step practice for ushering machine learning projects from conception to deployment.
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-
Basic book not worth time
- De Kindle Customer en 04-16-24
De: Eric Siegel
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Software Engineering at Google
- Lessons Learned from Programming Over Time
- De: Titus Winters, Tom Manshreck, Hyrum Wright
- Narrado por: Mark Sando
- Duración: 23 h y 36 m
- Versión completa
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General
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Narración:
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Historia
How can software engineers manage a living codebase that evolves and responds to changing requirements and demands over the length of its life? Based on their experience at Google, software engineers Titus Winters and Hyrum Wright, along with technical writer Tom Manshreck, present a candid and insightful look at how some of the world’s leading practitioners construct and maintain software. This book covers Google’s unique engineering culture, processes, and tools and how these aspects contribute to the effectiveness of an engineering organization.
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not useful
- De Andreas Andersen en 07-21-21
De: Titus Winters, y otros
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Superintelligence
- Paths, Dangers, Strategies
- De: Nick Bostrom
- Narrado por: Napoleon Ryan
- Duración: 14 h y 17 m
- Versión completa
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General
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Narración:
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Historia
Superintelligence asks the questions: What happens when machines surpass humans in general intelligence? Will artificial agents save or destroy us? Nick Bostrom lays the foundation for understanding the future of humanity and intelligent life. The human brain has some capabilities that the brains of other animals lack. It is to these distinctive capabilities that our species owes its dominant position. If machine brains surpassed human brains in general intelligence, then this new superintelligence could become extremely powerful - possibly beyond our control.
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Colossus: The Forbin Project is coming
- De Gary en 09-12-14
De: Nick Bostrom
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Designing Data-Intensive Applications
- The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
- De: Martin Kleppmann
- Narrado por: Benjamin Lange
- Duración: 20 h y 56 m
- Versión completa
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General
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Narración:
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Historia
Author Martin Kleppmann helps you navigate the diverse data landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications.
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Must read for senior+ software engineers
- De Navid v en 05-29-21
De: Martin Kleppmann
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An Elegant Puzzle: Systems of Engineering Management
- De: Will Larson
- Narrado por: Tiffany Morgan
- Duración: 6 h y 36 m
- Versión completa
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General
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Narración:
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Historia
Getting to the good solutions of complex management challenges can make the difference between fulfillment and frustration for teams, and, ultimately, the success or failure of companies. Will Larson's An Elegant Puzzle orients around the particular challenges of engineering management - from sizing teams to technical debt to succession planning - and provides a path to the good solutions.
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Terrible narrator
- De Violet en 06-05-19
De: Will Larson
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Modern Software Engineering
- Doing What Works to Build Better Software Faster
- De: David Farley
- Narrado por: Amy Gordon
- Duración: 9 h y 37 m
- Versión completa
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General
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Narración:
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Historia
In Modern Software Engineering, continuous delivery pioneer David Farley helps software professionals think about their work more effectively, manage it more successfully, and genuinely improve the quality of their applications, their lives, and the lives of their colleagues.
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Could have been a 1-page bulleted list
- De Elle7se en 12-30-22
De: David Farley
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The Pragmatic Programmer: 20th Anniversary Edition, 2nd Edition
- Your Journey to Mastery
- De: David Thomas, Andrew Hunt
- Narrado por: Anna Katarina
- Duración: 9 h y 55 m
- Versión completa
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General
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Narración:
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Historia
Dave Thomas and Andy Hunt wrote the first edition of this influential book in 1999 to help their clients create better software and rediscover the joy of coding. These lessons have helped a generation of programmers examine the very essence of software development. Now, 20 years later, this new edition re-examines what it means to be a modern programmer. Topics range from personal responsibility and career development to architectural techniques for keeping your code flexible and easy to adapt and reuse.
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An excellent and entertaining technical book
- De Amazon Customer en 01-21-20
De: David Thomas, y otros
Lo que los oyentes dicen sobre Building Intelligent Systems
Calificaciones medias de los clientesReseñas - Selecciona las pestañas a continuación para cambiar el origen de las reseñas.
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- Anonymous User
- 04-03-19
must read for engineers working with AI
It's a grest overview for anyone aiming to build AI based systems. It's not yet another book how to use machine learning using framework X to build predictive model Y, but a complete guide how to prepare for overall rollout of such product. It provides full context what intelligent system needs in addition to models at it's core, to make it useful for people both using and creating such product.
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- VerdereC
- 08-15-18
Good overview and well worth the time
Material is not for the general public, but given my background I found the info relevant and interesting. Could be better structured for the Audible space.
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- V. Etter
- 07-12-18
A must-read for anybody working with ML
As a Machine Learning scientists working at a large software engineering company, I strongly feel like this book should be one of the mandatory readings for anybody working on real-world machine learning systems, regardless of their role (software engineer, data scientist, product manager, etc.). Most Machine Learning books will teach you the various ways you can train a model, what loss function to use, how to avoid overfitting, etc, but none of them will explain to you the most important part: how to ship your model to have customer impact, and how to design your user experience such that every user interaction improves your sytem. This book explains it in great details, with lots of concrete examples and very clear explanations about each and every steps required to deliver a successful intelligent experience. The summary at the end of each chapter are very useful when coming back to the book later to review a section! I also really liked the tone of the book, full of funny examples and witty remarks. Way to make a technical read entertaining!
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