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Artificial Neural Networks with Java, 2nd Edition

Artificial Neural Networks with Java, 2nd Edition

by Igor Livshin

Develop neural network applications using the Java environment. After learning the rules involved in neural network processing, this second edition shows you how to manually process your first neural network example. The book covers the internals of front and back propagation and helps you understand the main principles of neural network processing. You also will learn how to prepare the data to be used in ...

Price:  $41.12  |  Publisher:  Apress  |  Release:  2022

Hands-on Machine Learning with Python

Hands-on Machine Learning with Python

by Ashwin Pajankar, Aditya Joshi

Here is the perfect comprehensive guide for readers with basic to intermediate level knowledge of machine learning and deep learning. It introduces tools such as NumPy for numerical processing, Pandas for panel data analysis, Matplotlib for visualization, Scikit-learn for machine learning, and Pytorch for deep learning with Python. It also serves as a long-term reference manual for the practitioners who wil...

Price:  $38.92  |  Publisher:  Apress  |  Release:  2022

Automated Deep Learning Using Neural Network Intelligence

Automated Deep Learning Using Neural Network Intelligence

by Ivan Gridin

Optimize, develop, and design PyTorch and TensorFlow models for a specific problem using the Microsoft Neural Network Intelligence (NNI) toolkit. This book includes practical examples illustrating automated deep learning approaches and provides techniques to facilitate your deep learning model development.The first chapters of this book cover the basics of NNI toolkit usage and methods for solving hyper-par...

Price:  $42.96  |  Publisher:  Apress  |  Release:  2022

Programming ML.NET

Programming ML.NET

by Dino Esposito, Francesco Esposito

ML.NET brings the power of machine learning to all .NET developers and Programming ML.NET helps you apply it in real production solutions. Modeled on Dino Espositos best-selling Programming ASP.NET, this book takes the same scenario-based approach Microsofts team used to build ML.NET itself. After a foundational overview of ML.NETs libraries, the authors illuminate mini-frameworks (ML Tasks) for regression,...

Price:  $42.88  |  Publisher:  Microsoft Press  |  Release:  2022

Essential Math for Data Science

Essential Math for Data Science

by Thomas Nield

Master the math needed to excel in data science, machine learning, and statistics. In this book author Thomas Nield guides you through areas like calculus, probability, linear algebra, and statistics and how they apply to techniques like linear regression, logistic regression, and neural networks. Along the way you'll also gain practical insights into the state of data science and how to use those insi...

Price:  $45.95  |  Publisher:  O'Reilly Media  |  Release:  2022

Azure AI Services at Scale for Cloud, Mobile, and Edge

Azure AI Services at Scale for Cloud, Mobile, and Edge

by Simon Bisson, Mary Branscombe, Chris Hoder, Anand Raman

Take advantage of the power of cloud and the latest AI techniques. Whether you're an experienced developer wanting to improve your app with AI-powered features or you want to make a business process smarter by getting AI to do some of the work, this book's got you covered. Authors Anand Raman, Chris Hoder, Simon Bisson, and Mary Branscombe show you how to build practical intelligent applications f...

Price:  $45.38  |  Publisher:  O'Reilly Media  |  Release:  2022

Designing Autonomous AI

Designing Autonomous AI

by Kence Anderson

Early rules-based artificial intelligence demonstrated intriguing decision-making capabilities but lacked perception and didn't learn. AI today, primed with machine learning perception and deep reinforcement learning capabilities, can perform superhuman decision-making for specific tasks. This book shows you how to combine the practicality of early AI with deep learning capabilities and industrial cont...

Price:  $45.95  |  Publisher:  O'Reilly Media  |  Release:  2022

Natural Language Processing Projects

Natural Language Processing Projects

by Akshay Kulkarni, Adarsha Shivananda, Anoosh Kulkarni

Leverage machine learning and deep learning techniques to build fully-fledged natural language processing (NLP) projects. Projects throughout this book grow in complexity and showcase methodologies, optimizing tips, and tricks to solve various business problems. You will use modern Python libraries and algorithms to build end-to-end NLP projects. The book starts with an overview of natural language processi...

Price:  $49.99  |  Publisher:  Apress  |  Release:  2022

Practical AI for Healthcare Professionals

Practical AI for Healthcare Professionals

by Abhinav Suri

Artificial Intelligence (AI) is a buzzword in the healthcare sphere today. However, notions of what AI actually is and how it works are often not discussed. Furthermore, information on AI implementation is often tailored towards seasoned programmers rather than the healthcare professional/beginner coder. This book gives an introduction to practical AI in the medical sphere, focusing on real-life clinical pr...

Price:  $41.49  |  Publisher:  Apress  |  Release:  2022

Applied Deep Learning with TensorFlow 2, 2nd Edition

Applied Deep Learning with TensorFlow 2, 2nd Edition

by Umberto Michelucci

Understand how neural networks work and learn how to implement them using TensorFlow 2.0 and Keras. This new edition focuses on the fundamental concepts and at the same time on practical aspects of implementing neural networks and deep learning for your research projects.This book is designed so that you can focus on the parts you are interested in. You will explore topics as regularization, optimizers, opt...

Price:  $48.23  |  Publisher:  Apress  |  Release:  2022

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