WOW! eBook

Category: Computer Science & Computer Engineering

Practical Weak Supervision 0

Computer Science & Computer Engineering / Databases & Big Data

Practical Weak Supervision

eBook Details: Paperback: 169 pages Publisher: WOW! eBook (November 9, 2021) Language: English ISBN-10: 1492077062 ISBN-13: 978-1492077060 eBook Description: Practical Weak Supervision: Doing More With Less Data Most data scientists and engineers today rely on quality labeled data to train machine learning models. But building a training set manually is time-consuming and expensive, leaving many companies with unfinished ML projects. There’s a more practical approach. In this book, Wee Hyong Tok, Amit Bahree, and Senja Filipi show you how to create products using weakly supervised learning models. Get up to speed on the field of weak supervision, including ways to use it...

Designing Deep Learning Systems, Video Edition 0

Computer Science & Computer Engineering / Databases & Big Data / Video Tutorials

Designing Deep Learning Systems, Video Edition

Designing Deep Learning Systems, Video Edition English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 11h 57m | 1.63 GB Designing Deep Learning Systems, Video Edition: A vital guide to building the platforms and systems that bring deep learning models to production. In Designing Deep Learning Systems, Video Edition you will learn how to: Transfer your software development skills to deep learning systems Recognize and solve common engineering challenges for deep learning systems Understand the deep learning development cycle Automate training for models in TensorFlow and PyTorch Optimize dataset management, training, model serving and hyperparameter tuning Pick the...

Practical Guide to Applied Conformal Prediction in Python 0

Computer Science & Computer Engineering / Programming / Software Development

Practical Guide to Applied Conformal Prediction in Python

eBook Details: Paperback: 240 pages Publisher: WOW! eBook (December 20, 2023) Language: English ISBN-10: 1805122762 ISBN-13: 978-1805122760 eBook Description: Practical Guide to Applied Conformal Prediction in Python: Take your machine learning skills to the next level by mastering the best framework for uncertainty quantification – Conformal Prediction In the rapidly evolving landscape of machine learning, the ability to accurately quantify uncertainty is pivotal. Practical Guide to Applied Conformal Prediction in Python addresses this need by offering an in-depth exploration of Conformal Prediction, a cutting-edge framework set to revolutionize uncertainty management in various ML applications. Embark on a comprehensive journey through Conformal Prediction,...

Responsible AI in the Enterprise 0

Cloud Computing / Computer Science & Computer Engineering / Databases & Big Data

Responsible AI in the Enterprise

eBook Details: Paperback: 318 pages Publisher: WOW! eBook (July 31, 2023) Language: English ISBN-10: 1803230525 ISBN-13: 978-1803230528 eBook Description: Responsible AI in the Enterprise: Practical AI risk management for explainable, auditable, and safe models with hyperscalers and Azure OpenAI. Build and deploy your AI models successfully by exploring model governance, fairness, bias, and potential pitfalls. Responsible AI in the Enterprise is a comprehensive guide to implementing ethical, transparent, and compliant AI systems in an organization. With a focus on understanding key concepts of machine learning models, this book equips you with techniques and algorithms to tackle complex issues such as bias, fairness,...

Beyond the Algorithm: AI, Security, Privacy, and Ethics 0

Algorithms & Cryptography / Computer Science & Computer Engineering / Security & Encryption

Beyond the Algorithm: AI, Security, Privacy, and Ethics

eBook Details: Paperback: 336 pages Publisher: WOW! eBook (February 9, 2024) Language: English ISBN-10: 0138268452 ISBN-13: 978-0138268459 eBook Description: Beyond the Algorithm: AI, Security, Privacy, and Ethics: Explore the Ethical Landscape of AI in Beyond the Algorithm This Beyond the Algorithm: AI, Security, Privacy, and Ethics book is a comprehensive, cutting-edge guide designed to educate readers on the essentials of artificial intelligence (AI) and machine learning (ML), while emphasizing the crucial aspects of security, ethics, and privacy. The book aims to equip AI practitioners, IT professionals, data scientists, security experts, policy-makers, and students with the knowledge and tools needed to develop, deploy,...