Category: Databases & Big Data
eBook Details: Paperback: 352 pages Publisher: WOW! eBook (February 27, 2024) Language: English ISBN-10: 1617299464 ISBN-13: 978-1617299469 eBook Description: Graph Algorithms for Data Science: With examples in Neo4j: Practical methods for analyzing your data with graphs, revealing hidden connections and new insights. Graphs are the natural way to represent and understand connected data. This book explores the most important algorithms and techniques for graphs in data science, with concrete advice on implementation and deployment. You don’t need any graph experience to start benefiting from this insightful guide. These powerful graph algorithms are explained in clear, jargon-free text and illustrations that makes them...
eBook Details: Paperback: 672 pages Publisher: WOW! eBook (February 6, 2024) Language: English ISBN-10: 1633438686 ISBN-13: 978-1633438682 eBook Description: Statistics Slam Dunk: Statistical analysis with R on real NBA data: Learn statistics by analyzing professional basketball data! In this action-packed book, you’ll build your skills in exploratory data analysis by digging into the fascinating world of NBA games and player stats using the R language. Statistics Slam Dunk is an engaging how-to guide for statistical analysis with R. Each chapter contains an end-to-end data science or statistics project delving into NBA data and revealing real-world sporting insights. Written by a former basketball...
eBook Details: Paperback: 350 pages Publisher: WOW! eBook (February 20, 2024) Language: English ISBN-10: 1098148398 ISBN-13: 978-1098148393 eBook Description: Deep Learning for Finance: Creating Machine & Deep Learning Models for Trading in Python Deep learning is rapidly gaining momentum in the world of finance and trading. But for many professional traders, this sophisticated field has a reputation for being complex and difficult. This Deep Learning for Finance hands-on guide teaches you how to develop a deep learning trading model from scratch using Python, and it also helps you create and backtest trading algorithms based on machine learning and reinforcement learning. Understand and...
eBook Details: Paperback: 321 pages Publisher: WOW! eBook (February 13, 2024) Language: English ISBN-10: 1098142861 ISBN-13: 978-1098142865 eBook Description: Architecting IoT Solutions on Azure: Conquering Complexity for Scalable Device and Data Management How can you make sense of the complex IoT landscape? With dozens of components ranging from devices to metadata about the devices, it’s easy to get lost among the possibilities. But it’s not impossible if you have the right guide to help you navigate all the complexities. This practical book shows developers, architects, and IT managers how to build IoT solutions on Azure. Get the architectural guidance you need to...
eBook Details: Paperback: 170 pages Publisher: WOW! eBook (February 13, 2024) Language: English ISBN-10: 1098145933 ISBN-13: 978-1098145934 eBook Description: Automating Data Quality Monitoring: Going Deeper Than Data Observability The world’s businesses ingest a combined 2.5 quintillion bytes of data every day. But how much of this vast amount of data used to build products, power AI systems, and drive business decisions is poor quality or just plain bad? This practical book shows you how to ensure that the data your organization relies on contains only high-quality records. This Automating Data Quality Monitoring book will help you: Learn why data quality is a...
