WOW! eBook

Category: Databases & Big Data

Machine Learning Theory and Applications: Hands-on Use Cases with Python on Classical and Quantum Machines 0

Computer Science & Computer Engineering / Databases & Big Data

Machine Learning Theory and Applications: Hands-on Use Cases with Python on Classical and Quantum Machines

eBook Details: Paperback: 512 pages Publisher: WOW! eBook (January 31, 2024) Language: English ISBN-10: 1394220618 ISBN-13: 978-1394220618 eBook Description: Machine Learning Theory and Applications: Hands-on Use Cases with Python on Classical and Quantum Machines enables readers to understand mathematical concepts behind data engineering and machine learning algorithms and apply them using open-source Python libraries Machine Learning Theory and Applications: Hands-on Use Cases with Python on Classical and Quantum Machines delves into the realm of machine learning and deep learning, exploring their practical applications by comprehending mathematical concepts and implementing them in real-world scenarios using Python and renowned open-source libraries. This comprehensive guide covers...

Transforming Conversational AI: Exploring the Power of Large Language Models in Interactive Conversational Agents 0

Computer Science & Computer Engineering / Databases & Big Data

Transforming Conversational AI

eBook Details: Paperback: 243 pages Publisher: WOW! eBook (March 18, 2024) Language: English ISBN-10: 8868801099 ISBN-13: 978-8868801099 eBook Description: Transforming Conversational AI: Exploring the Power of Large Language Models in Interactive Conversational Agents Acquire the knowledge needed to work effectively in conversational artificial intelligence (AI) and understand the opportunities and threats it can potentially bring. This book will help you navigate from the traditional world of dialogue systems that revolve around hard coded scripts, to the world of large language models, prompt engineering, conversational AI platforms, multi-modality, and ultimately autonomous agents. In this new world, decisions are made by a system that...

Practical Weak Supervision: Doing More With Less Data 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...

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,...