白话大数据与机器学习

Paperback. Pub Date: 2016-07-01 Pages: 329 Publisher: Machinery Industry Press Senior Data Expert many years of practical lessons learned. refused to obscure. open big data and machine learning wit trip. To reduce the learning curve and reading difficulty for the purpose of explaining the system statistics. data mining algorithms. practical cases. and net realizable value of the data. as well as to expand the advanced skills and a clear outline of big data technology roadmap and industrial blueprint. The book is divided into 18 chapters. In plain language. combined with the large number of cases comic. not boring. practical and down to earth. 1 to 5. which is a large part of the data entry required for systematic knowledge. analysis of the relationship between big industry data. data and information such as algorithms. mathematical foundations wonderful solution (permutation...