Manning Machine Learning
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Graph-Powered Machine Learning
- By: Alessandro Negro
- Narrated by: Julie Brierley
- Length: 12 hrs and 27 mins
- Unabridged
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Graph-Powered Machine Learning teaches to use graph-based algorithms and data organization strategies to develop superior machine learning applications. You’ll dive into the role of graphs in machine learning and big data platforms, and take an in-depth look at data source modeling, algorithm design, recommendations, and fraud detection. Explore end-to-end projects that illustrate architectures and help you optimize with best design practices.
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Graph-Powered Machine Learning
- Narrated by: Julie Brierley
- Length: 12 hrs and 27 mins
- Release date: 03-10-22
- Language: English
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Upgrade your machine learning models with graph-based algorithms, the perfect structure for complex and interlinked data....
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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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Good but I mixed ebook + audio book
- By Anonymous User on 10-27-24
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Machine Learning Bookcamp
- Build a Portfolio of Real-Life Projects
- Narrated by: Adam Newmark
- Length: 8 hrs and 49 mins
- Release date: 05-05-22
- Language: English
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Time to flex your machine learning muscles! Take on the carefully designed challenges of the Machine Learning Bookcamp and master essential ML techniques through practical application....
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Grokking Machine Learning
- By: Luis Serrano
- Narrated by: Marianne Sheehan
- Length: 15 hrs and 1 min
- Unabridged
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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
- By Anonymous User on 04-05-24
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Grokking Machine Learning
- Narrated by: Marianne Sheehan
- Length: 15 hrs and 1 min
- Release date: 08-10-22
- Language: English
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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....
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Math for Programmers
- 3D Graphics, Machine Learning, and Simulations with Python
- By: Paul Orland
- Narrated by: Derek Lettman
- Length: 17 hrs and 17 mins
- Unabridged
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To score a job in data science, machine learning, computer graphics, and cryptography, you need to bring strong math skills to the party. Math for Programmers teaches the math you need for these hot careers, concentrating on what you need to know as a developer. Filled with lots of helpful graphics and more than 200 exercises and mini-projects, this book unlocks the door to interesting - and lucrative! - careers in some of today’s hottest programming fields about the technology.
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Not useful because there are no chapters :(
- By Anonymous User on 06-08-22
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Math for Programmers
- 3D Graphics, Machine Learning, and Simulations with Python
- Narrated by: Derek Lettman
- Length: 17 hrs and 17 mins
- Release date: 05-05-21
- Language: English
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To score a job in data science, machine learning, computer graphics, and cryptography, you need to bring strong math skills to the party. Math for Programmers teaches the math you need for these hot careers, concentrating on what you need to know as a developer....
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Real-World Machine Learning
- By: Henrik Brink, Joseph Richards, Mark Fetherolf
- Narrated by: Lisa Farina
- Length: 7 hrs
- Unabridged
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Real-World Machine Learning will teach you the concepts and techniques you need to be a successful machine learning practitioner without overdosing you on abstract theory and complex mathematics. By working through immediately relevant examples in Python, you'll build skills in data acquisition and modeling, classification, and regression. You'll also explore the most important tasks like model validation, optimization, scalability, and real-time streaming. When you're done, you'll be ready to successfully build, deploy, and maintain your own powerful ML systems.
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Full of mistakes
- By Anonymous User on 03-13-21
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Real-World Machine Learning
- Narrated by: Lisa Farina
- Length: 7 hrs
- Release date: 11-14-18
- Language: English
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Real-World Machine Learning will teach you the concepts and techniques you need to be a successful machine learning practitioner without overdosing you on abstract theory and complex mathematics....
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GANs in Action
- Deep Learning with Generative Adversarial Networks
- By: Jakub Langr, Vladimir Bok
- Narrated by: Julie Brierley
- Length: 6 hrs and 23 mins
- Unabridged
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GANs in Action teaches you how to build and train your own Generative Adversarial Networks, one of the most important innovations in deep learning. In this book, you'll learn how to start building your own simple adversarial system as you explore the foundation of GAN architecture: the generator and discriminator networks.
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GANs in Action
- Deep Learning with Generative Adversarial Networks
- Narrated by: Julie Brierley
- Length: 6 hrs and 23 mins
- Release date: 04-08-21
- Language: English
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GANs in Action teaches you how to build and train your own Generative Adversarial Networks, one of the most important innovations in deep learning. In this book, you'll learn how to start building your own simple adversarial system as you explore the foundation of GAN architecture....
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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
- By: Rishal Hurbans
- Narrated by: Jeromy Lloyd, Julie Brierley
- Length: 7 hrs and 25 mins
- Unabridged
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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.
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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
- Narrated by: Jeromy Lloyd, Julie Brierley
- Length: 7 hrs and 25 mins
- Release date: 04-21-21
- Language: English
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Grokking Artificial Intelligence Algorithms is a fully illustrated and interactive tutorial guide to the different approaches and algorithms that underpin AI....
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Deep Learning Patterns and Practices
- By: Andrew Ferlitsch
- Narrated by: Mark Thomas
- Length: 13 hrs and 45 mins
- Unabridged
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Discover best practices, reproducible architectures, and design patterns to help guide deep learning models from the lab into production. In Deep Learning Patterns and Practices you will learn: Internal functioning of modern convolutional neural networks, procedural reuse design pattern for CNN architectures, models for mobile and IoT devices, assembling large-scale model deployments, optimizing hyperparameter tuning, and migrating a model to a production environment.
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Deep Learning Patterns and Practices
- Narrated by: Mark Thomas
- Length: 13 hrs and 45 mins
- Release date: 03-30-22
- Language: English
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Discover best practices, reproducible architectures, and design patterns to help guide deep learning models from the lab into production....
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