Category: Databases & Big Data
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...
Graph Algorithms for Data Science, Video Edition English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 9h 45m | 1.51 GB 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 video course 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 easy to...
Statistics Slam Dunk, Video Edition English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 17h 49m | 2.71 GB Learn statistics by analyzing professional basketball data! In this action-packed video course, 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, Video Edition 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 player turned business intelligence...
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: 504 pages Publisher: WOW! eBook; 2nd edition (May 28, 2024) Language: English ISBN-10: 1617298689 ISBN-13: 978-1617298684 eBook Description: Kafka Streams in Action, 2nd Edition: Event-driven applications and microservices: Everything you need to implement stream processing on Apache Kafka using Kafka Streams and the kqsIDB event streaming database. Kafka Streams in Action, Second Edition guides you through setting up and maintaining your streaming processing with Kafka. Inside, you’ll find comprehensive coverage of not only Kafka Streams, but the entire toolbox you’ll need for effective streaming from the components of the Kafka ecosystem, to Producer and Consumer clients, Connect, and...
