| 书目名称 | Practical Data Science with Python 3 | | 副标题 | Synthesizing Actiona | | 编辑 | Ervin Varga | | 视频video | | | 概述 | Provides a mechanism to solidify data science related topics in a unified fashion, while treating theory and practice as equally important.Uses publicly available real life data-sets, that cannot be t | | 图书封面 |  | | 描述 | Gain insight into essential data science skills in a holistic manner using data engineering and associated scalable computational methods. This book covers the most popular Python 3 frameworks for both local and distributed (in premise and cloud based) processing. Along the way, you will be introduced to many popular open-source frameworks, like, SciPy, scikitlearn, Numba, Apache Spark, etc. The book is structured around examples, so you will grasp core concepts via case studies and Python 3 code..As data science projects gets continuously larger and more complex, software engineering knowledge and experience is crucial to produce evolvable solutions. You‘ll see how to create maintainable software for data science and how to document data engineering practices..This book is a good starting point for people who want to gain practical skills to perform data science. All the code willbe available in the form of IPython notebooks and Python 3 programs, which allow you to reproduce all analyses from the book and customize them for your own purpose. You‘ll also benefit from advanced topics like Machine Learning, Recommender Systems, and Security in Data Science..Practical Data Science wi | | 出版日期 | Book 2019 | | 关键词 | Data Science; Python 3; Machine Learning; Neural Networks; OMG Essence; Apache Spark; TensorFlow; Numpy; Pan | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4842-4859-1 | | isbn_softcover | 978-1-4842-4858-4 | | isbn_ebook | 978-1-4842-4859-1 | | copyright | Ervin Varga 2019 |
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发表于 2025-3-21 18:42:02
