Category: Databases & Big Data

Deep Reinforcement Learning Hands-On, 3rd Edition 0

Deep Reinforcement Learning Hands-On, 3rd Edition

eBook Details: Paperback: 716 pages Publisher: WOW! eBook; 3rd edition (November 12, 2024) Language: English ISBN-10: 1835882714 ISBN-13: 978-1835882719 eBook Description: Deep Reinforcement Learning Hands-On, 3rd Edition: A practical and easy-to-follow guide to RL from Q-learning and DQNs to PPO and RLHF. Maxim Lapan delivers intuitive explanations and insights into complex reinforcement learning (RL) concepts, starting from the basics of RL on simple environments and tasks to modern, state-of-the-art methods. Start your journey into reinforcement learning (RL) and reward yourself with the Deep Reinforcement Learning Hands-On, Third Edition. This book takes you through the basics of RL to more advanced concepts...

Mastering OpenTelemetry and Observability: Enhancing Application and Infrastructure Performance and Avoiding Outages 0

Mastering OpenTelemetry and Observability: Enhancing Application and Infrastructure Performance and Avoiding Outages

eBook Details: Paperback: 368 pages Publisher: WOW! eBook (November 5, 2024) Language: English ISBN-10: 1394253125 ISBN-13: 978-1394253128 eBook Description: Mastering OpenTelemetry and Observability: Enhancing Application and Infrastructure Performance and Avoiding Outages (Tech Today): Discover the power of open source observability for your enterprise environment In Mastering OpenTelemetry and Observability: Enhancing Application and Infrastructure Performance and Avoiding Outages, accomplished engineering leader and open source contributor Steve Flanders unlocks the secrets of enterprise application observability with a comprehensive guide to OpenTelemetry (OTel). Explore how OTel transforms observability, providing a robust toolkit for capturing and analyzing telemetry data across your environment. You will learn how...

Delta Lake: The Definitive Guide: Modern Data Lakehouse Architectures with Data Lakes 0

Delta Lake: The Definitive Guide

eBook Details: Paperback: 380 pages Publisher: WOW! eBook (December 10, 2024) Language: English ISBN-10: 1098151941 ISBN-13: 978-1098151942 eBook Description: Delta Lake: The Definitive Guide: Modern Data Lakehouse Architectures with Data Lakes Ready to simplify the process of building data lakehouses and data pipelines at scale? In this practical Delta Lake: The Definitive Guide, learn how Delta Lake is helping data engineers, data scientists, and data analysts overcome key data reliability challenges with modern data engineering and management techniques. This Delta Lake: The Definitive Guide: Modern Data Lakehouse Architectures with Data Lakes helps you: Understand key data reliability challenges and how Delta Lake...

Modern Time Series Forecasting with Python, 2nd Edition 2

Modern Time Series Forecasting with Python, 2nd Edition

eBook Details: Paperback: 658 pages Publisher: WOW! eBook; 2nd edition (October 31, 2024) Language: English ISBN-10: 1835883184 ISBN-13: 978-1835883181 eBook Description: Modern Time Series Forecasting with Python, 2nd Edition: Industry-ready machine learning and deep learning time series analysis with PyTorch and pandas. Learn traditional and cutting-edge machine learning (ML) and deep learning techniques and best practices for time series forecasting, including global forecasting models, conformal prediction, and transformer architectures. Predicting the future, whether it’s market trends, energy demand, or website traffic, has never been more crucial. This practical, hands-on Modern Time Series Forecasting with Python, 2nd Edition guide empowers you to...

Apache Spark for Machine Learning 0

Apache Spark for Machine Learning

eBook Details: Paperback: 306 pages Publisher: WOW! eBook (November 1, 2024) Language: English ISBN-10: 1804618160 ISBN-13: 978-1804618165 eBook Description: Apache Spark for Machine Learning: Build and deploy high-performance big data AI solutions for large-scale clusters. Develop your data science skills with Apache Spark to solve real-world problems for Fortune 500 companies using scalable algorithms on large cloud computing clusters. In the world of big data, efficiently processing and analyzing massive datasets for machine learning can be a daunting task. Written by Deepak Gowda, a data scientist with over a decade of experience and 30+ patents, this Apache Spark for Machine Learning book...