Blaine Bateman, Ashish Ranjan Jha, Benjamin Johnston, Ishita Mathur. — 2nd Edition. — Packt Publishing, 2020. — 488 p. — ISBN: 978-1-80020-904-6. Code files only! Cut through the noise and get real results with a step-by-step approach to understanding supervised learning algorithms You already know you want to understand supervised learning, and a smarter way to do that is to...
Machine Learning Mastery, 2016. — 223 p. — ISBN: N\A Do you want to do machine learning using R, but you’re having trouble getting started? In this post you will complete your first machine learning project using R. In this step-by-step tutorial you will: Download and install R and get the most useful package for machine learning in R. Load a dataset and understand it’s...
Packt Publishing, 2019. - 334p. - ISBN: 9781789807943 !Code files only Master a range of machine learning domains with real-world projects using TensorFlow for R, H2O, MXNet, and more Key Features Master machine learning, deep learning, and predictive modeling concepts in R 3.5 Build intelligent end-to-end projects for finance, retail, social media, and a variety of domains...
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...
Microsoft Press, 2020. — 392 p. — ISBN 9780135565667. Sample files only! Master machine learning concepts and develop real-world solutions Machine learning offers immense opportunities, and Introducing Machine Learning delivers practical knowledge to make the most of them. Dino and Francesco Esposito start with a quick overview of the foundations of artificial intelligence and...
Packt Publishing, 2019. — 456 p. — ISBN: 1789136364. A guide to advances in machine learning for financial professionals, with working Python code. Machine Learning for Finance explores new advances in machine learning and shows how they can be applied across the financial sector, including in insurance, transactions, and lending. It explains the concepts and algorithms behind...
Packt Publishing, 2017. — 344 p. — ISBN: 978-1783553112. +Sample Files Key Features Learn the fundamentals of machine learning and build your own intelligent applications Master the art of building your own machine learning systems with this example-based practical guide Work with important classification and regression algorithms and other machine learning techniques Book...
Packt Publishing, 2017. — 344 p. — ISBN: 978-1783553112. +True PDF +Sample Files Key Features Learn the fundamentals of machine learning and build your own intelligent applications Master the art of building your own machine learning systems with this example-based practical guide Work with important classification and regression algorithms and other machine learning techniques...
3rd edition. — Packt Publishing, 2020. — 527 p. — ISBN 9781800209718. A comprehensive guide to get you up to speed with the latest developments of practical machine learning with Python and upgrade your understanding of machine learning (ML) algorithms and techniques Key Features Dive into machine learning algorithms to solve the complex challenges faced by data scientists...
Packt Publishing, 2017. — 292 p. — ISBN10: 1783553111, ISBN13: 978-1783553112. Data science and machine learning are some of the top buzzwords in the technical world today. A resurging interest in machine learning is due to the same factors that have made data mining and Bayesian analysis more popular than ever. This book is your entry point to machine learning. This book...
Packt Publishing, 2021. — 737 p. — ASIN B08PDFXXRL. Code Files Only! Understand the key aspects and challenges of machine learning interpretability, learn how to overcome them with interpretation methods, and leverage them to build fairer, safer, and more reliable models Key Features Learn how to extract easy-to-understand insights from any machine learning model Become...
O’Reilly, 2019. - 362p. - ISBN: 1492035645 !Code files only Many industry experts consider unsupervised learning the next frontier in artificial intelligence, one that may hold the key to general artificial intelligence. Since the majority of the world's data is unlabeled, conventional supervised learning cannot be applied. Unsupervised learning, on the other hand, can be...
O’Reilly Media, 2021-12-10. — 362 p. — ISBN-13: 978-1-492-03564-0. Many industry experts consider unsupervised learning the next frontier in artificial intelligence, one that may hold the key to the holy grail in AI research, the so-called general artificial intelligence. Since the majority of the world’s data is unlabeled, conventional supervised learning cannot be applied;...
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...
2nd Edition. — Packt Publishing Ltd., 2020. — 579 p. — ISBN: 978-1-83921-153-9. Code files only! Understand the fundamentals and develop your own AI solutions in this updated edition packed with many new examples. Artificial intelligence (AI) has the potential to replicate humans in every field. Artificial Intelligence by Example serves as a starting point for you to understand...
Packt Publishing, 2020. — 490 p. — ISBN 9781800208919. Quickly build and deploy machine learning models without managing infrastructure, and improve productivity using Amazon SageMaker’s capabilities such as Amazon SageMaker Studio, Autopilot, Experiments, Debugger, and Model Monitor Key Features Build, train, and deploy machine learning models quickly using Amazon SageMaker...
O’Reilly Media, 2020. — 432 p. — ISBN: 978-1-492-07305-5. Code files only! Over the next few decades, machine learning and data science will transform the finance industry. With this practical book, analysts, traders, researchers, and developers will learn how to build machine learning algorithms crucial to the industry. You’ll examine ML concepts and over 20 case studies in...
Packt Publishing, 2020. — 311 p. — ISBN 9781839218354. Get to grips with building robust XGBoost models using Python and scikit-learn for deployment Key Features Get up and running with machine learning and understand how to boost models with XGBoost in no time Build real-world machine learning pipelines and fine-tune hyperparameters to achieve optimal results Discover tips and...
Packt Publishing, 2020. — 311 p. — ISBN 9781839218354. Get to grips with building robust XGBoost models using Python and scikit-learn for deployment Key Features Get up and running with machine learning and understand how to boost models with XGBoost in no time Build real-world machine learning pipelines and fine-tune hyperparameters to achieve optimal results Discover tips and...
Комментарии