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Grokking Machine Learning
- Narrated by: Marianne Sheehan
- Length: 15 hrs and 1 min
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Publisher's summary
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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Great content. Terrible narration.
- By Alex on 12-16-23
By: Neal Ford, and others
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Building Microservices
- Designing Fine-Grained Systems
- By: Sam Newman
- Narrated by: Theodore O'Brien
- Length: 21 hrs and 12 mins
- Unabridged
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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
- By Anonymous User on 04-27-22
By: Sam Newman
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Deep Learning with PyTorch
- Build, Train, and Tune Neural Networks Using Python Tools
- By: Eli Stevens, Luca Antiga, Thomas Viehmann
- Narrated by: Mark Thomas
- Length: 15 hrs and 26 mins
- Unabridged
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There are countless ways to put deep learning to good use: improved medical imaging, credit card fraud detection, long range weather forecasting. PyTorch puts these superpowers in your hands, providing a comfortable Python experience that gets you started quickly and then grows with you as you - and your deep-learning skills - become more sophisticated.
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Absolutely not suitable for audio
- By Actionwatcher on 08-15-23
By: Eli Stevens, and others
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Machine Learning Bookcamp
- Build a Portfolio of Real-Life Projects
- By: Alexey Grigorev
- Narrated by: Adam Newmark
- Length: 8 hrs and 49 mins
- Unabridged
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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!
- By Anonymous on 01-25-23
By: Alexey Grigorev
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Grokking Simplicity: Taming Complex Software with Functional Thinking
- By: Eric Normand
- Narrated by: Mark Thomas
- Length: 12 hrs and 4 mins
- Unabridged
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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
- By Daniel Underwood on 07-22-23
By: Eric Normand
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Designing Data-Intensive Applications
- The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
- By: Martin Kleppmann
- Narrated by: Benjamin Lange
- Length: 20 hrs and 56 mins
- Unabridged
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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
- By Navid v on 05-29-21
By: Martin Kleppmann
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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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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
- By Alexey on 01-30-24
By: Joe Reis, and others
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Machine Learning Interviews
- Kickstart Your Machine Learning and Data Career
- By: Susan Shu Chang
- Narrated by: Xifeng Brooks
- Length: 9 hrs and 39 mins
- Unabridged
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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.
By: Susan Shu Chang
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Machine Learning for Absolute Beginners
- Python for Data Science, Book 3
- By: Oliver Theobald
- Narrated by: Scott Morgan
- Length: 3 hrs and 48 mins
- Unabridged
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Machine Learning for Absolute Beginners Third Edition has been written and designed for absolute beginners. This means plain-English explanations and no coding experience required.
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Text read does not match the book
- By Kay on 01-05-23
By: Oliver Theobald
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The Deep Learning Revolution
- By: Terrence J. Sejnowski
- Narrated by: Shawn Compton
- Length: 8 hrs and 5 mins
- Unabridged
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The deep-learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep-learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy.
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Probably the best audio book available on Deep Learning
- By Charlie on 03-01-19
What listeners say about Grokking Machine Learning
Average customer ratingsReviews - Please select the tabs below to change the source of reviews.
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- 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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