| 書目名稱 | Data Science Fundamentals for Python and MongoDB | | 編輯 | David Paper | | 視頻video | http://file.papertrans.cn/264/263065/263065.mp4 | | 概述 | Takes an example-driven approach to learning.Has everything you need in terms of content and coding to gain fundamental data science skills.A focused and easy-to-read fundamentals book | | 圖書封面 |  | | 描述 | Build the foundational data science skills necessary to work with and better understand complex data science algorithms. This?example-driven book provides complete Python coding examples to complement and clarify data science concepts, and enrich the learning experience. Coding examples include visualizations whenever appropriate. The book is a necessary precursor to applying and implementing machine learning algorithms.?.The book is self-contained. All of the math, statistics, stochastic, and programming skills required to master the content are covered. In-depth knowledge of object-oriented programming isn’t required because complete examples are provided and explained..Data Science Fundamentals with Python and MongoDB.?is an excellent starting point for those interested in pursuing a career in data science. Like any science, the fundamentals of data science are a prerequisite to competency. Without proficiency in mathematics, statistics, data manipulation, and coding, the path to success is “rocky” at best. The coding examples in this book are concise, accurate, and complete, and perfectly complement the data science concepts introduced.?.What You‘ll Learn.Prepare for a career i | | 出版日期 | Book 2018 | | 關(guān)鍵詞 | Data Science; Simulation; Monte Carlo Simulation; Linear Algebra; Vector and Matrix Math; Stochastic Simu | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4842-3597-3 | | isbn_softcover | 978-1-4842-3596-6 | | isbn_ebook | 978-1-4842-3597-3 | | copyright | David Paper 2018 |
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