-
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
- Narrado por: Jeromy Lloyd, Julie Brierley
- Duración: 7 h y 25 m
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Resumen del Editor
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 - including building a maze puzzle game, performing diamond data analysis, and even exploring drone material optimization.
About the technology
Artificial intelligence touches every part of our lives. It powers our shopping and TV recommendations; it informs our medical diagnoses. Embracing this new world means mastering the core algorithms at the heart of AI.
About the book
Grokking Artificial Intelligence Algorithms uses illustrations, exercises, and jargon-free explanations to teach fundamental AI concepts. All you need is the algebra you remember from high school math class. Explore coding challenges like detecting bank fraud, creating artistic masterpieces, and setting a self-driving car in motion.
What's inside:
- Use cases for different AI algorithms
- Intelligent search for decision making
- Biologically inspired algorithms
- Machine learning and neural networks
- Reinforcement learning to build a better robot
About the audience
For software developers with high school-level algebra and calculus skills.
About the author
Rishal Hurbans is a technologist, founder, and international speaker.
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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The Great Mental Models: General Thinking Concepts is the first book in The Great Mental Models series designed to upgrade your thinking with the best, most useful and powerful tools so you always have the right one on hand. This volume details nine of the most versatile all-purpose mental models you can use right away to improve your decision making, your productivity, and how clearly you see the world.
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A dissapointing debut
- De Peter en 04-14-19
De: Shane Parrish
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Toyota Kata
- Managing People for Improvement, Adaptiveness and Superior Results
- De: Mike Rother
- Narrado por: Todd Belcher
- Duración: 7 h y 16 m
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This game-changing book puts you behind the curtain at Toyota, providing new insight into the legendary automaker's management practices and offering practical guidance for leading and developing people in a way that makes the best use of their brainpower. Drawing on six years of research into Toyota's employee-management routines, Toyota Kata examines and elucidates, for the first time, the company's organizational routines - called kata - that power its success with continuous improvement and adaptation.
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Good deeper learning
- De bzymom en 02-25-24
De: Mike Rother
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Mind in Motion
- How Action Shapes Thought
- De: Barbara Tversky
- Narrado por: Cassandra Campbell
- Duración: 11 h y 17 m
- Versión completa
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In Mind in Motion, psychologist Barbara Tversky shows that spatial cognition isn't just a peripheral aspect of thought, but its very foundation, enabling us to draw meaning from our bodies and their actions in the world. Our actions in real space get turned into mental actions on thought, often spouting spontaneously from our bodies as gestures. Spatial thinking underlies creating and using maps, assembling furniture, devising football strategies, designing airports, understanding the flow of people, traffic, water, and ideas.
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Physically difficult to listen to
- De Claire Hay en 11-08-19
De: Barbara Tversky
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In Pursuit of Elegance
- Why the Best Ideas Have Something Missing
- De: Matthew E. May
- Narrado por: Malcolm Hillgartner
- Duración: 5 h y 46 m
- Versión completa
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Historia
In this thought-provoking exploration, Matthew May defines elegance as the elusive combination of unusual simplicity and surprising power, and pinpoints the four key elements that characterize it: seduction, subtraction, symmetry, and sustainability. In a story-driven narrative that sheds light on the need for elegance in design, engineering, physics, art, urban planning, sports, and work, May offers a surprising array of stories that illustrate why what's "not there" often matters more than what is.
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I love elegance, but this book isn't elegant
- De Oliver Nielsen en 06-26-11
De: Matthew E. May
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Human + Machine
- Reimagining Work in the Age of AI
- De: Paul R. Daugherty, H. James Wilson
- Narrado por: Jamie Renell
- Duración: 5 h y 55 m
- Versión completa
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General
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Historia
Look around you. Artificial intelligence is no longer just a futuristic notion. It's here right now - in software that senses what we need, supply chains that "think" in real time, and robots that respond to changes in their environment. Twenty-first-century pioneer companies are already using AI to innovate and grow fast. The bottom line is this: Businesses that understand how to harness AI can surge ahead. Those that neglect it will fall behind. Which side are you on?
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A golf course book
- De C. Surdak en 07-30-18
De: Paul R. Daugherty, y otros
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Design Thinking in Business and IT: Overview, Techniques and Example Workshop
- De: Florian Heuer
- Narrado por: Bryan Stout
- Duración: 1 h y 4 m
- Versión completa
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General
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Narración:
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Historia
You might've talked about innovation with your IT department or software development agency lately and the words "design thinking" were surely mentioned. So what is it? Just another piece of business jargon to add to your arsenal or a useful tool? Or maybe even an overestimated hype? Nowadays every organization or business runs into a myriad of problems as business models become increasingly more complex. Globalization and advances in communication and technology, all add up to creating unique opportunities but also new challenges that are not easy to solve applying the old tested methods.
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Basic design thinking lesson
- De Preston en 04-09-16
De: Florian Heuer
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Bad as an audiobook
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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!
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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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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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Software Architecture: The Hard Parts
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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.
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the book is not good in audio format
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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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Bad as an audiobook
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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!
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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
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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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The Master Algorithm
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Under the aegis of machine learning in our data-driven machine age, computers are programming themselves and learning about - and solving - an extraordinary range of problems, from the mundane to the most daunting. Today it is machine learning programs that enable Amazon and Netflix to predict what users will like, Apple to power Siri's ability to understand voices, and Google to pilot cars.
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Great book, irritating narration
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De: Pedro Domingos
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API Design Patterns
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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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Narration is unbearable
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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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Great software is something to marvel at: powerful, elegant, functional, a pleasure to work with as both a developer and as a user. Great software isn’t written by machines. It is written by professionals with an unshakable commitment to craftsmanship. The Clean Coder will help you become one of them - and earn the pride and fulfillment that they alone possess.
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The best one
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Grokking Simplicity: Taming Complex Software with Functional Thinking
- De: Eric Normand
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Grokking Simplicity is a friendly, practical guide that will change the way you approach software design and development. Distributed across servers, difficult to test, and resistant to modification - modern software is complex. Grokking Simplicity is a friendly, practical guide that will change the way you approach software design and development. It introduces a unique approach to functional programming that explains why certain features of software are prone to complexity, and teaches you the functional techniques you can use to simplify these systems.
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Good book but not for audio format
- De Daniel Underwood en 07-22-23
De: Eric Normand
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Staff Engineer
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At most technology companies, you'll reach Senior software engineer, the career level for software engineers, in five to eight years. At the career level, your company's career ladder won't require that you work towards the next promotion; being promoted further is an exception rather than expected. This is also when many engineers are first given an opportunity to move into engineering management.
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Great content but some audio issues
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De: Will Larson
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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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Thank you!
- De Anonymous en 01-25-23
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Designing Data-Intensive Applications
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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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AI at the Edge
- Solving Real-World Problems with Embedded Machine Learning
- De: Daniel Situnayake, Jenny Plunkett
- Narrado por: Suzie Althens
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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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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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General
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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
- De JUAN CARLOS MARTINEZ LOERA en 07-09-24
De: Joe Reis, y otros