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Building Intelligent Systems
- A Guide to Machine Learning Engineering
- Narrated by: Mike Norgaard
- Length: 10 hrs and 19 mins
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Publisher's summary
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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Story
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!
- By Luc on 08-11-23
By: Laurence Moroney
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The Alignment Problem
- Machine Learning and Human Values
- By: Brian Christian
- Narrated by: Brian Christian
- Length: 13 hrs and 33 mins
- Unabridged
-
Overall
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Performance
-
Story
Today's "machine-learning" systems, trained by data, are so effective that we've invited them to see and hear for us - and to make decisions on our behalf. But alarm bells are ringing. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole - and appear to assess black and white defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And autonomous vehicles on our streets can injure or kill.
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Required reading for any AI course
- By ehan ferguson on 11-16-20
By: Brian Christian
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Deep Learning
- MIT Press Essential Knowledge Series
- By: John D. Kelleher
- Narrated by: Joel Richards
- Length: 5 hrs and 49 mins
- Unabridged
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Overall
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Performance
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Story
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
- By Elliot Blanford on 10-27-19
By: John D. Kelleher
-
Deep Learning with Python (Second Edition)
- By: Francois Chollet
- Narrated by: Derek Dysart
- Length: 15 hrs and 1 min
- Unabridged
-
Overall
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Performance
-
Story
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
- By Jim on 03-04-22
By: Francois Chollet
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Wool
- The Silo Saga, Book 1
- By: Hugh Howey
- Narrated by: Edoardo Ballerini
- Length: 15 hrs
- Unabridged
-
Overall
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Performance
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Story
The world outside has grown toxic, the view of it limited, talk of it forbidden. The remnants of humanity live underground in a single silo. But there are always those who hope, who dream. These are the dangerous people, the residents who infect others with their optimism. Their punishment is simple. They are given the very thing they want: They are allowed to go outside.
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THIS is a strong female character
- By Alex on 03-23-23
By: Hugh Howey
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Superintelligence
- Paths, Dangers, Strategies
- By: Nick Bostrom
- Narrated by: Napoleon Ryan
- Length: 14 hrs and 17 mins
- Unabridged
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Overall
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Performance
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Story
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
- By Gary on 09-12-14
By: Nick Bostrom
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AI and Machine Learning for Coders
- A Programmer's Guide to Artificial Intelligence
- By: Laurence Moroney
- Narrated by: Timothy Howard Jackson
- Length: 9 hrs and 17 mins
- Unabridged
-
Overall
-
Performance
-
Story
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!
- By Luc on 08-11-23
By: Laurence Moroney
-
The Alignment Problem
- Machine Learning and Human Values
- By: Brian Christian
- Narrated by: Brian Christian
- Length: 13 hrs and 33 mins
- Unabridged
-
Overall
-
Performance
-
Story
Today's "machine-learning" systems, trained by data, are so effective that we've invited them to see and hear for us - and to make decisions on our behalf. But alarm bells are ringing. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole - and appear to assess black and white defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And autonomous vehicles on our streets can injure or kill.
-
-
Required reading for any AI course
- By ehan ferguson on 11-16-20
By: Brian Christian
-
Deep Learning
- MIT Press Essential Knowledge Series
- By: John D. Kelleher
- Narrated by: Joel Richards
- Length: 5 hrs and 49 mins
- Unabridged
-
Overall
-
Performance
-
Story
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
- By Elliot Blanford on 10-27-19
By: John D. Kelleher
-
Deep Learning with Python (Second Edition)
- By: Francois Chollet
- Narrated by: Derek Dysart
- Length: 15 hrs and 1 min
- Unabridged
-
Overall
-
Performance
-
Story
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.
-
-
Audible version is useless - has no PDF
- By Jim on 03-04-22
By: Francois Chollet
-
Wool
- The Silo Saga, Book 1
- By: Hugh Howey
- Narrated by: Edoardo Ballerini
- Length: 15 hrs
- Unabridged
-
Overall
-
Performance
-
Story
The world outside has grown toxic, the view of it limited, talk of it forbidden. The remnants of humanity live underground in a single silo. But there are always those who hope, who dream. These are the dangerous people, the residents who infect others with their optimism. Their punishment is simple. They are given the very thing they want: They are allowed to go outside.
-
-
THIS is a strong female character
- By Alex on 03-23-23
By: Hugh Howey
-
Why Machines Learn
- The Elegant Math Behind Modern AI
- By: Anil Ananthaswamy
- Narrated by: Rene Ruiz
- Length: 13 hrs and 30 mins
- Unabridged
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Overall
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Performance
-
Story
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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Fundamentals of Data Engineering
- Plan and Build Robust Data Systems
- By: Joe Reis, Matt Housley
- Narrated by: Adam Verner
- Length: 17 hrs and 31 mins
- Unabridged
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Overall
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Performance
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Story
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 for Hands on Business owners
- By LmL on 08-14-24
By: Joe Reis, and others
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Fundamentals of Software Architecture
- An Engineering Approach
- By: Mark Richards, Neal Ford
- Narrated by: Benjamin Lange
- Length: 13 hrs and 10 mins
- Unabridged
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Overall
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Performance
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Story
This book provides the first comprehensive overview of software architecture’s many aspects. Aspiring and existing architects alike will examine architectural characteristics, architectural patterns, component determination, diagramming and presenting architecture, evolutionary architecture, and many other topics. Mark Richards and Neal Ford—hands-on practitioners who have taught software architecture classes professionally for years—focus on architecture principles that apply across all technology stacks.
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Helpful but business-centric
- By A.N. on 03-25-21
By: Mark Richards, and others
-
Solutions Architect's Handbook
- Kick-Start Your Solutions Architect Career by Learning Architecture Design Principles and Strategies
- By: Saurabh Shrivastava, Neelanjali Srivastav
- Narrated by: Mark Armstrong
- Length: 17 hrs and 48 mins
- Unabridged
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Overall
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Performance
-
Story
Becoming a solutions architect requires a hands-on approach, and this edition of the Solutions Architect's Handbook brings exactly that. This audiobook will teach you how to create robust, scalable, and fault-tolerant solutions and next-generation architecture designs in a cloud environment. It will also help you build effective product strategies for your business and implement them from start to finish.
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Audio isn't a good fit for material
- By William May on 04-05-23
By: Saurabh Shrivastava, and others
-
Mathematics
- A Very Short Introduction
- By: Timothy Gowers
- Narrated by: Craig Jessen
- Length: 5 hrs and 21 mins
- Unabridged
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Overall
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Performance
-
Story
The aim of this book is to explain, carefully but not technically, the differences between advanced, research-level mathematics and the sort of mathematics we learn at school. The most fundamental differences are philosophical, and listeners of this book will emerge with a clearer understanding of paradoxical-sounding concepts such as infinity, curved space, and imaginary numbers. The first few chapters are about general aspects of mathematical thought.
By: Timothy Gowers
-
The AI Playbook
- Mastering the Rare Art of Machine Learning Deployment (Management on the Cutting Edge)
- By: Eric Siegel
- Narrated by: Eric Siegel
- Length: 9 hrs and 20 mins
- Unabridged
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Overall
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Performance
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Story
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
- By Kindle Customer on 04-16-24
By: Eric Siegel
What listeners say about Building Intelligent Systems
Average customer ratingsReviews - Please select the tabs below to change the source of reviews.
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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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2 people found this helpful
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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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2 people found this helpful