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Grokking Machine Learning
- Narrado por: Marianne Sheehan
- Duración: 15 h y 1 m
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Grokking Machine Learning
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Resumen del Editor
Discover valuable machine learning techniques you can understand and apply using just high school math.
In Grokking Machine Learning, you will learn:
- Supervised algorithms for classifying and splitting data
- Methods for cleaning and simplifying data
- Machine learning packages and tools
- Neural networks and ensemble methods for complex datasets
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.
About the technology
Discover powerful machine learning techniques you can understand and apply using only high school math! Put simply, machine learning is a set of techniques for data analysis based on algorithms that deliver better results as you give them more data. ML powers many cutting-edge technologies, such as recommendation systems, facial recognition software, smart speakers, and even self-driving cars. This unique book introduces the core concepts of machine learning, using relatable examples, engaging exercises, and crisp illustrations.
About the book
Grokking Machine Learning presents machine learning algorithms and techniques in a way that anyone can understand. This book skips the confused academic jargon and offers clear explanations that require only basic algebra. As you go, you’ll build interesting projects with Python, including models for spam detection and image recognition. You’ll also pick up practical skills for cleaning and preparing data.
About the listener
For listeners who know basic Python. No machine learning knowledge necessary.
About the author
Luis G. Serrano is a research scientist in quantum artificial intelligence. Previously, he was an ML Engineer at Google and Lead AI Educator at Apple.
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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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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Grokking Algorithms
- De: Aditya Bhargava
- Narrado por: Derek Lettman
- Duración: 3 h y 46 m
- Versión completa
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General4.5 out of 5 stars 121
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Narración:4.5 out of 5 stars 101
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Historia4.5 out of 5 stars 99
This friendly guide teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. This accesible introduction is suitable for self-taught programmers, engineers, or anyone who wants to brush up on algorithms. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python.
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1 out of 5 stars
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the book is not good in audio format
- De Anonymous User en 01-09-20
De: Aditya Bhargava
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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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General4 out of 5 stars 15
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Narración:4.5 out of 5 stars 13
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Historia4.5 out of 5 stars 13
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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Audio Version has No Data.. Needs PDF
- De Xander L. en 04-03-23
De: Francois Chollet
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Machine Learning Bookcamp
- Build a Portfolio of Real-Life Projects
- De: Alexey Grigorev
- Narrado por: Adam Newmark
- Duración: 8 h y 49 m
- Versión completa
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General5 out of 5 stars 1
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Narración:5 out of 5 stars 1
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Historia5 out of 5 stars 1
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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5 out of 5 stars
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Thank you!
- De Anonymous en 01-25-23
De: Alexey Grigorev
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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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General4 out of 5 stars 18
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Narración:4 out of 5 stars 15
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Historia4.5 out of 5 stars 15
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 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 3
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Narración:5 out of 5 stars 2
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Historia5 out of 5 stars 2
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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Machine Learning: The New AI
- The MIT Press Essential Knowledge Series
- De: Ethem Alpaydi
- Narrado por: Steven Menasche
- Duración: 4 h y 24 m
- Versión completa
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General4 out of 5 stars 290
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Narración:4 out of 5 stars 239
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Historia4 out of 5 stars 238
In this audiobook, machine learning expert Ethem Alpaydin offers a concise overview of the subject for the general listener, describing its evolution, explaining important learning algorithms, and presenting example applications. Alpaydin offers an account of how digital technology advanced from number-crunching mainframes to mobile devices, putting today's machine learning boom in context.
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1 out of 5 stars
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Narrator not suited to the material
- De pandrenyc en 12-01-16
De: Ethem Alpaydi
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Advanced Algorithms and Data Structures
- De: Marcello La Rocca
- Narrado por: Julie Brierley
- Duración: 23 h y 32 m
- Versión completa
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General4 out of 5 stars 11
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Narración:4 out of 5 stars 9
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Historia4 out of 5 stars 9
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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5 out of 5 stars
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Wonderful audio textbook!
- De Howard_a en 11-02-21
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Machine Learning Interviews
- Kickstart Your Machine Learning and Data Career
- De: Susan Shu Chang
- Narrado por: Xifeng Brooks
- Duración: 9 h y 39 m
- Versión completa
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General0 out of 5 stars 0
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Narración:0 out of 5 stars 0
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Historia0 out of 5 stars 0
As tech products become more prevalent today, the demand for machine learning professionals continues to grow. But the responsibilities and skill sets required of ML professionals still vary drastically from company to company, making the interview process difficult to predict. In this guide, data science leader Susan Shu Chang shows you how to tackle the ML hiring process. She'll take you through the highly selective recruitment process by sharing hard-won lessons she learned along the way.
De: Susan Shu Chang
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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 22
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Narración:4.5 out of 5 stars 18
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Historia4.5 out of 5 stars 18
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 for Hands on Business owners
- De LmL en 08-14-24
De: Joe Reis, y otros
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Natural Language Processing in Action: Understanding, Analyzing, and Generating Text with Python
- De: Hobson Lane, Hannes Hapke, Cole Howard
- Narrado por: Mark Thomas
- Duración: 18 h y 29 m
- Versión completa
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General4 out of 5 stars 11
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Narración:4 out of 5 stars 9
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Historia4 out of 5 stars 8
Natural Language Processing in Action is your guide to building machines that can read and interpret human language. In it, you'll use readily available Python packages to capture the meaning in text and react accordingly. The book expands traditional NLP approaches to include neural networks, modern deep learning algorithms, and generative techniques as you tackle real-world problems like extracting dates and names, composing text, and answering free-form questions.
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5 out of 5 stars
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The Best ML Book on Audible
- De Dejan en 07-20-24
De: Hobson Lane, y otros
Lo que los oyentes dicen sobre Grokking Machine Learning
Calificaciones medias de los clientesReseñas - Selecciona las pestañas a continuación para cambiar el origen de las reseñas.
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Total1 out of 5 stars
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Ejecución1 out of 5 stars
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Historia1 out of 5 stars
- Amazon Customer
- 04-05-24
Bad as an audiobook
Good info, terrible as an audiobook. Nothing more dull than hearing someone read formulas and code you can’t see.
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