WOW! eBook

Author: WOW! eBook

Generative AI for Cloud Solutions 0

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

Generative AI for Cloud Solutions

eBook Details: Paperback: 300 pages Publisher: WOW! eBook (April 22, 2024) Language: English ISBN-10: 1835084788 ISBN-13: 978-1835084786 eBook Description: Generative AI for Cloud Solutions: Architect modern AI LLMs in secure, scalable, and ethical cloud environments. Explore Generative AI, the engine behind ChatGPT, and delve into topics like LLM-infused frameworks, autonomous agents, and responsible innovation, to gain valuable insights into the future of AI. Get started with the essentials of generative AI, LLMs, and ChatGPT, and understand how they function together Understand how we started applying NLP to concepts like transformers Grasp the process of fine-tuning and developing apps based on RAG Explore...

Learning OpenCV 5 Computer Vision with Python, Fourth Edition 0

Algorithms & Cryptography / Cloud Computing / Computer Science & Computer Engineering / Programming

Learning OpenCV 5 Computer Vision with Python, Fourth Edition

eBook Details: Paperback: 470 pages Publisher: WOW! eBook (August 11, 2025) Language: English ISBN-10: 1803230223 ISBN-13: 978-1803230221 eBook Description: Learning OpenCV 5 Computer Vision with Python, 4th Edition: Tackle computer vision and machine learning with the newest tools, techniques and algorithms. Updated for OpenCV 5, this Learning OpenCV 5 Computer Vision with Python, Fourth Edition book covers the latest on depth cameras, 3D navigation, deep neural networks, and Cloud computing, helping you solve real-world computer vision problems with practical code. Computer vision is a rapidly evolving science in the field of artificial intelligence, encompassing diverse use cases and techniques. This Learning OpenCV...

The Machine Learning Solutions Architect Handbook, Second Edition 0

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

The Machine Learning Solutions Architect Handbook, Second Edition

eBook Details: Paperback: 602 pages Publisher: WOW! eBook (April 15, 2024) Language: English ISBN-10: 1805122509 ISBN-13: 978-1805122500 eBook Description: The Machine Learning Solutions Architect Handbook, 2nd Edition: Practical strategies and best practices on the ML lifecycle, system design, MLOps, and generative AI. Design, build, and secure scalable machine learning (ML) systems to solve real-world business problems with Python and AWS. David Ping, Head of GenAI and ML Solution Architecture at AWS, provides expert insights and practical examples to help you become a proficient ML solutions architect, linking technical architecture to business-related skills. You’ll learn about ML algorithms, cloud infrastructure, system design, MLOps,...

DevOps Unleashed with Git and GitHub 0

Software Development

DevOps Unleashed with Git and GitHub

eBook Details: Paperback: 284 pages Publisher: WOW! eBook (April 19, 2024) Language: English ISBN-10: 1835463711 ISBN-13: 978-1835463710 eBook Description: DevOps Unleashed with Git and GitHub: Automate, collaborate, and innovate to enhance your DevOps workflow and development experience. Unlock the full potential of your team with Git mastery, seamless DevOps workflows, and the power of AI integration. Git and GitHub are absolutely crucial for DevOps, playing a multifaceted role in streamlining the software development lifecycle and enabling smoother collaboration between development and operations teams. DevOps Unleashed with Git and GitHub enables you to harness the power of Git and GitHub to streamline workflows,...

Software Engineering for Data Scientists 0

Computer Science & Computer Engineering / Databases & Big Data / Software Development

Software Engineering for Data Scientists

eBook Details: Paperback: 400 pages Publisher: WOW! eBook (May 28, 2024) Language: English ISBN-10: 1098136209 ISBN-13: 978-1098136208 eBook Description: Software Engineering for Data Scientists: From Notebooks to Scalable Systems Examples are provided in Python, drawn from popular packages such as NumPy and pandas. If you want to write better data science code, this Software Engineering for Data Scientists guide covers the essential topics that are often missing from introductory data science or coding classes, including how to: Understand data structures and object-oriented programming Clearly and skillfully document your code Package and share your code Integrate data science code with a larger code...