| 书目名称 | Productive and Efficient Data Science with Python | | 副标题 | With Modularizing, M | | 编辑 | Tirthajyoti Sarkar | | 视频video | | | 概述 | Explains how to look out for inefficiencies and bottlenecks in the standard data science codes.Covers wide range of topics like software testing, module development, ML model deployment.Guides readers | | 图书封面 |  | | 描述 | .This book focuses on the Python-based tools and techniques to help you become highly productive at all aspects of typical data science stacks such as statistical analysis, visualization, model selection, and feature engineering...You’ll review the inefficiencies and bottlenecks lurking in the daily business process and solve them with practical solutions. Automation of repetitive data science tasks is a key mindset that is promoted throughout the book. You’ll learn how to extend the existing coding practice to handle larger datasets with high efficiency with the help of advanced libraries and packages that already exist in the Python ecosystem. ..The book focuses on topics such as how to measure the memory footprint and execution speed of machine learning models, quality test a data science pipelines, and modularizing a data science pipeline for app development. You’ll review Python libraries which come in very handy for automating and speeding up the day-to-day tasks. .In the end, you’ll understand and perform data science and machine learning tasks beyond the traditional methods and utilize the full spectrum of the Python data science ecosystem to increase productivity. ..What | | 出版日期 | Book 2022 | | 关键词 | Data Science; Python; Machine Learning; Data Science Pipeline; High Performance Computing; Parallel Proce | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4842-8121-5 | | isbn_softcover | 978-1-4842-8120-8 | | isbn_ebook | 978-1-4842-8121-5 | | copyright | Dr. Tirthajyoti Sarkar 2022 |
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发表于 2025-3-21 19:34:44
