doi:10.1007/978-3-319-45797-0_4Steele, BrianChandler, JohnReddy, SwarnaSpringer, ChamSteele, B., Chandler, J. i Reddy, S. (2016). Algorithms for data science. 1st ed. Cham: Springer.
The chapters often expand at the close with innovations of interest to practitioners of data science. Each chapter includes exercises of varying levels of difficulty. The text is eminently suitable for self-study and an exceptional resource for practitioners. Table of Contents Chapter 1 Introduction ...
当当中国进口图书旗舰店在线销售正版《【预订】Algorithms for Data Science (Softcover Reprint of the Origi) 9783319833736》。最新《【预订】Algorithms for Data Science (Softcover Reprint of the Origi) 9783319833736》简介、书评、试读、价格、图片等相关信息,尽
Algorithms for Data Science by Brian Steele, John Chandler, Swarna Reddy. This textbook on practical data analytics unites fundamental principles, algorithms, and data. Algorithms are the keystone of data analytics and the focal
GraphAlgorithmsfor Data Science: With examples in Neo4j Author: Tomaž Bratanic (Author) Publisher finelybook 出版社: Manning Publication Date 出版日期: 2024-02-27 Language 语言: English Print Length 页数: 352 pages ISBN-10: 1617299464 ...
Data Science methods and algorithms, which will give you an excellent foundation for Data Science jobs and studies. This course has exclusive content that will teach you many new things regardless of if you are a beginner or an experienced Data Scientist.This is a five-in-one master class ...
This chapter reviews applications of Memetic Algorithms in the areas of business analytics and data science. This approach originates from the need to address optimization problems that involve combinatorial search processes. Some of these problems were
PREFACE: SPECIAL ISSUE ON THEORY AND ALGORITHMS FOR DATA-DRIVEN OPTIMIZATION The optimization method is one of the core techniques to solve practical problems arising from science and engineering. With the rapid development of data ... C Cui,DH Li,QN Li,... - 《Pacific Jurnal of Optimization...
home in mathematics and logic toward a more computational focus. Our book traces that movement on a topic-by-topic basis. An answer to the intriguing question “What happens next?” won’t be attempted here, except for a few words in the epilogue, where the rise of data science is ...
K-Means is probably the most well-known clustering algorithm. It’s taught in a lot of introductory data science and machine learning classes. It’s easy to understand and implement in code! Check out the graphic below for an illustration. ...