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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

Artificial Intelligence in Medical Sciences and Psychology

Artificial Intelligence in Medical Sciences and Psychology

by Tshepo Chris Nokeri

Get started with artificial intelligence for medical sciences and psychology. This book will help healthcare professionals and technologists solve problems using machine learning methods, computer vision, and natural language processing (NLP) techniques. The book covers ways to use neural networks to classify patients with diseases. You will know how to apply computer vision techniques and convolutional neu...

Price:  $38.40  |  Publisher:  Apress  |  Release:  2022

Pro Data Mashup for Power BI

Pro Data Mashup for Power BI

by Adam Aspin

This book provides all you need to find data from external sources and load and transform that data into Power BI where you can mine it for business insights and a competitive edge. This ranges from connecting to corporate databases such as Azure SQL and SQL Server to file-based data sources, and cloud- and web-based data sources. The book also explains the use of Direct Query and Live Connect to establish ...

Price:  $51.08  |  Publisher:  Apress  |  Release:  2022

Fundamentals of Deep Learning, 2nd Edition

Fundamentals of Deep Learning, 2nd Edition

by Nithin Buduma, Nikhil Buduma, Joe Papa

We're in the midst of an AI research explosion. Deep learning has unlocked superhuman perception to power our push toward creating self-driving vehicles, defeating human experts at a variety of difficult games including Go, and even generating essays with shockingly coherent prose. But deciphering these breakthroughs often takes a PhD in machine learning and mathematics.The updated second edition of th...

Price:  $52.95  |  Publisher:  O'Reilly Media  |  Release:  2022

Practical Fraud Prevention

Practical Fraud Prevention

by Gilit Saporta, Shoshana Maraney

Over the past two decades, the booming ecommerce and fintech industries have become a breeding ground for fraud. Organizations that conduct business online are constantly engaged in a cat-and-mouse game with these invaders. In this practical book, Gilit Saporta and Shoshana Maraney draw on their fraud-fighting experience to provide best practices, methodologies, and tools to help you detect and prevent frau...

Price:  $44.72  |  Publisher:  O'Reilly Media  |  Release:  2022

Deep Learning for Natural Language Processing

Deep Learning for Natural Language Processing

by Stephan Raaijmakers

Deep learning has advanced natural language processing to exciting new levels and powerful new applications! For the first time, computer systems can achieve "human" levels of summarizing, making connections, and other tasks that require comprehension and context. Deep Learning for Natural Language Processing reveals the groundbreaking techniques that make these innovations possible. Stephan Raaij...

Price:  $44.96  |  Publisher:  Manning  |  Release:  2022

Getting Started with Natural Language Processing

Getting Started with Natural Language Processing

by Ekaterina Kochmar

Getting Started with Natural Language Processing is an enjoyable and understandable guide that helps you engineer your first NLP algorithms. Your tutor is Dr. Ekaterina Kochmar, lecturer at the University of Bath, who has helped thousands of students take their first steps with NLP. Full of Python code and hands-on projects, each chapter provides a concrete example with practical techniques that you can put...

Price:  $39.59  |  Publisher:  Manning  |  Release:  2022

Interpretable AI

Interpretable AI

by Ajay Thampi

Interpretable AI opens up the black box of your AI models. It teaches cutting-edge techniques and best practices that can make even complex AI systems interpretable. Each method is easy to implement with just Python and open source libraries. You'll learn to identify when you can utilize models that are inherently transparent, and how to mitigate opacity when your problem demands the power of a hard-to...

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

Data-Oriented Programming

Data-Oriented Programming

by Yehonathan Sharvit

Data-Oriented Programming is a one-of-a-kind guide that introduces the data-oriented paradigm. This groundbreaking approach represents data with generic immutable data structures. It simplifies state management, eases concurrency, and does away with the common problems you'll find in object-oriented code. The book presents powerful new ideas through conversations, code snippets, and diagrams that help ...

Price:  $50.62  |  Publisher:  Manning  |  Release:  2022

Effective Data Science Infrastructure

Effective Data Science Infrastructure

by Ville Tuulos

Effective Data Science Infrastructure: How to make data scientists more productive is a hands-on guide to assembling infrastructure for data science and machine learning applications. It reveals the processes used at Netflix and other data-driven companies to manage their cutting edge data infrastructure. In it, you'll master scalable techniques for data storage, computation, experiment tracking, and o...

Price:  $33.66  |  Publisher:  Manning  |  Release:  2022

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