Apress, 2018. — 690 p. — ISBN: 9781484233573. !Code files Discover how all levels Artificial Intelligence (AI) can be present in the most unimaginable scenarios of ordinary lives. This book explores subjects such as neural networks, agents, multi agent systems, supervised learning, and unsupervised learning. These and other topics will be addressed with real world examples, so...
Packt Publishing, 2018. — 500 p. — ISBN: 1509304444. !Only code files Unleash Google's Cloud Platform to build, train and optimize machine learning models Google Cloud Machine Learning Engine combines the services of Google Cloud Platform with the power and flexibility of TensorFlow. With this book, you will not only learn to build and train different complexities of machine...
2nd Edition. — Packt Publishing, 2019. — 372 p. — ISBN: 978-1-78899-417-0. Discover a project-based approach to mastering machine learning concepts by applying them to everyday problems using libraries such as scikit-learn, TensorFlow, and Keras Machine learning is transforming the way we understand and interact with the world around us. This book is the perfect guide for you...
Packt Publishing, 2020. — 348 p. — ISBN: 978-1-83882-441-9. Code files only! Design and use machine learning models for music generation using Magenta and make them interact with existing music creation tools The importance of machine learning (ML) in art is growing at a rapid pace due to recent advancements in the field, and Magenta is at the forefront of this innovation. With...
Read by author. — Udemy, updated 12/2018. — MP4, video: AVC 1280x720, audio: AAC 44KHz 2 channels . — Duration 12:02:59. — Lec: 92. Machine Learning and artificial intelligence (AI) is everywhere; if you want to know how companies like Google, Amazon, and even Udemy extract meaning and insights from massive data sets, this data science course will give you the fundamentals you...
Read by author. — Udemy, updated 12/2018. — MP4, video: AVC 1280x720, audio: AAC 44KHz 2 channels . — Duration 12:02:59. — Lec: 92. Machine Learning and artificial intelligence (AI) is everywhere; if you want to know how companies like Google, Amazon, and even Udemy extract meaning and insights from massive data sets, this data science course will give you the fundamentals you...
Read by author. — Udemy, updated 12/2018. — MP4, video: AVC 1280x720, audio: AAC 44KHz 2 channels . — Duration 12:02:59. — Lec: 92. Machine Learning and artificial intelligence (AI) is everywhere; if you want to know how companies like Google, Amazon, and even Udemy extract meaning and insights from massive data sets, this data science course will give you the fundamentals you...
Packt Publishing Ltd., 2020. — 530 p. — ISBN: 978-1-78995-533-0. Code files only! Implement supervised and unsupervised machine learning algorithms using C++ libraries such as PyTorch C++ API, Caffe2, Shogun, Shark-ML, mlpack, and dlib with the help of real-world examples and datasets C++ can make your machine learning models run faster and more efficiently. This handy guide...
Packt Publishing, 2021. — 270 p. — ISBN 978-1800567887. Code Files Only! Discover how TPOT can be used to handle automation in machine learning and explore the different types of tasks that TPOT can automate Key Features Understand parallelism and how to achieve it in Python. Learn how to use neurons, layers, and activation functions and structure an artificial neural network....
Packt Publishing, 2017. — 501 p. — ISBN: 978-1787125933. Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries. If you know some Python and you want to use machine learning and deep learning, pick up this book. Whether you want to start from scratch or extend your machine learning knowledge, this is...
Apress, 2018. — 545 p. — ISBN: 978-1-4842-3206-4. Code files only! Master the essential skills needed to recognize and solve complex problems with machine learning and deep learning. Using real-world examples that leverage the popular Python machine learning ecosystem, this book is your perfect companion for learning the art and science of machine learning to become a...
Packt Publishing, 2019. — 285 p. — ISBN: 978-1-83882-173-9. Code files only! Get hands-on with the browser-based JavaScript library for training and deploying machine learning models effectively TensorFlow.js is a framework that enables you to create performant machine learning (ML) applications that run smoothly in a web browser. With this book, you will learn how to use...
Packt Publishing Ltd., 2020. — 404 p. — ISBN: 978-1-78995-608-5. Code files only! Use the power of deep learning with Python to build and deploy intelligent web applications When used effectively, deep learning techniques can help you develop intelligent web apps. In this book, you’ll cover the latest tools and technological practices that are being used to implement deep...
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