Category: Computer Science & Computer Engineering

eBook Details: Paperback: 552 pages Publisher: WOW! eBook (March 26, 2024) Language: English ISBN-10: 1617296481 ISBN-13: 978-1617296482 eBook Description: Math and Architectures of Deep Learning: Shine a spotlight into the deep learning “black box”. This comprehensive and detailed guide reveals the mathematical and architectural concepts behind deep learning models, so you can customize, maintain, and explain them more effectively. The mathematical paradigms behind deep learning models typically begin as hard-to-read academic papers that leave engineers in the dark about how those models actually function. Math and Architectures of Deep Learning bridges the gap between theory and practice, laying out the math of...

eBook Details: Paperback: 274 pages Publisher: WOW! eBook (March 29, 2024) Language: English ISBN-10: 1805129236 ISBN-13: 978-1805129233 eBook Description: Deep Learning for Time Series Cookbook: Use PyTorch and Python recipes for forecasting, classification, and anomaly detection. Learn how to deal with time series data and how to model it using deep learning and take your skills to the next level by mastering PyTorch using different Python recipes. Most organizations exhibit a time-dependent structure in their processes, including fields such as finance. By leveraging time series analysis and forecasting, these organizations can make informed decisions and optimize their performance. Accurate forecasts help reduce...

eBook Details: Paperback: 224 pages Publisher: WOW! eBook (May 7, 2024) Language: English ISBN-10: 1394240724 ISBN-13: 978-1394240722 eBook Description: Large Language Model-Based Solutions: How to Deliver Value with Cost-Effective Generative AI Applications: Learn to build cost-effective apps using Large Language Models In Large Language Model-Based Solutions: How to Deliver Value with Cost-Effective Generative AI Applications, Principal Data Scientist at Amazon Web Services, Shreyas Subramanian, delivers a practical guide for developers and data scientists who wish to build and deploy cost-effective large language model (LLM)-based solutions. In the book, you’ll find coverage of a wide range of key topics, including how to select a...