WOW! eBook

Category: Databases & Big Data

Graph Neural Networks in Action 0

Computer Science & Computer Engineering / Databases & Big Data / Programming

Graph Neural Networks in Action

eBook Details: Paperback: 392 pages Publisher: WOW! eBook (April 15, 2025) Language: English ISBN-10: 1617299057 ISBN-13: 978-1617299056 eBook Description: Graph Neural Networks in Action: A hands-on guide to powerful graph-based deep learning models. Graph Neural Networks in Action teaches you to build cutting-edge graph neural networks for recommendation engines, molecular modeling, and more. This comprehensive guide contains coverage of the essential GNN libraries, including PyTorch Geometric, DeepGraph Library, and Alibaba’s GraphScope for training at scale. In Graph Neural Networks in Action, you will learn how to: Train and deploy a graph neural network Generate node embeddings Use GNNs at scale for very...

Logs and Telemetry, Video Edition 0

Cloud Computing / Databases & Big Data / Software Development / Video Tutorials

Logs and Telemetry, Video Edition

Logs and Telemetry, Video Edition English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 10h 6m | 1.69 GB Logs and Telemetry, Video Edition: Build cloud native observability pipelines with minimal footprints and high-performance throughput-all with Fluent Bit, Kubernetes, and your favorite visualization and analytics tools. Logs and Telemetry, Video Edition is an all-practical guide to monitoring both cloud-native and traditional environments with the Fluent Bit observability tool. It takes you from the basics of collecting app logs, all the way to filtering, routing, enriching and transforming logs, metrics, and traces. Inside Logs and Telemetry, Video Edition you’ll...

Fundamentals of Database Management Systems, 3rd Edition 0

Databases & Big Data

Fundamentals of Database Management Systems, 3rd Edition

eBook Details: Paperback: 416 pages Publisher: WOW! eBook; 3rd edition (June 20, 2023) Language: English ISBN-10: 1119907462 ISBN-13: 978-1119907466 eBook Description: Fundamentals of Database Management Systems, 3rd Edition In the newly revised Fundamentals of Database Management Systems, 3rd Edition, veteran database expert Dr. Mark Gillenson delivers an authoritative and comprehensive account of contemporary database management. The Fundamentals of Database Management Systems, Third Edition assists readers in understanding critical topics in the subject, including data modeling, relational database concepts, logical and physical database design, SQL, data administration, data security, NoSQL, blockchain, database in the cloud, and more. Readers will also find: Brand-new...

Essentials of R for Data Analytics 0

Computer Science & Computer Engineering / Databases & Big Data

Essentials of R for Data Analytics

eBook Details: Paperback: 356 pages Publisher: WOW! eBook (February 19, 2021) Language: English ISBN-10: 9390421926 ISBN-13: 978-9390421923 eBook Description: Essentials of R for Data Analytics With widespread and exponential growth of data, people with data science background are in great demand. Data analytics, a subdomain of data science, is meant to turn data into insight and actionable knowledge. Data analytics mainly deals with exploring, visualizing, transforming and modelling data for making predictions. Essentials of R for Data Analytics: Learning R is an essential step towards becoming a data analyst.

Introduction to Data Science: Practical Approach with R and Python 0

Computer Science & Computer Engineering / Databases & Big Data

Introduction to Data Science

eBook Details: Paperback: 296 pages Publisher: WOW! eBook (October 27, 2021) Language: English ISBN-10: 9354640508 ISBN-13: 978-9354640506 eBook Description: Introduction to Data Science: Practical Approach with R and Python Introduction to Data Science: Practical Approach with R and Python covers all the fundamental concepts of Data Science in a concise manner. It offers a mix of insights and golden rules which would be needed in analyzing data. This book serves as a practical guide for Science/Engineering/MBA students – both at the undergraduate and postgraduate level interested in Data Science domain.