Master the new computational tools to get the most out of your information system. This practical guide, the first to clearly outline the situation for the benefit of engineers and scientists, pro
This book is designed for a data structures and algorithms course that uses Python. A key objective is to provide a "back to basics" approach to learning data structures and algorithms without overwh
Incorporating an innovative focus on data visualization and time series forecasting,Data Mining for Business Intelligence, Third Edition continues to supply insightful, detailed guidance on fundamenta
The concept of modelling using graph theory has its origin in several scientific areas, notably statistics, physics, genetics, and engineering. The use of graphical models in applied statistics has in
Data Mining for Business Intelligence, Second Edition uses real data and actual cases to illustrate the applicability of data mining (DM) intelligence in the development of successful business models
內容簡介:以簡單有效率的方式分析資料與預測結果 機器學習的目的是預測，使用你已經知道的來預測你想要知道的—根據這兩者之間的歷史關係。它的核心是一種數學 / 演算法技術，你需要深入瞭解數學與統計學概念，並熟悉 R 與其他專用語言。本書為廣大的讀者簡化機器學習技術，把焦點放在兩種可以有效地預測結果的演算法族群，告訴你如何透過熱門且容易上手的 Python 程式語言來使用它們。 作者 Michael B
