Machine Learning for Business Analytics: Concepts, Techniques and Applications with JMP Pro, 2/e (Hardcover)
暫譯: 商業分析的機器學習：概念、技術與應用（搭配 JMP Pro，第二版）

Name: Machine Learning for Business Analytics: Concepts, Techniques and Applications with JMP Pro, 2/e (Hardcover)
Price: 4133 TWD
Availability: OutOfStock
Author: Bruce, Peter C., Stephens, Mia L., Shmueli, Galit
ISBN: 1119903831

Bruce, Peter C., Stephens, Mia L., Shmueli, Galit

出版商: Wiley
出版日期: 2023-05-09
售價: $4,350
貴賓價: 9.5 折 $4,133
語言: 英文
頁數: 608
裝訂: Hardcover - also called cloth, retail trade, or trade
ISBN: 1119903831
ISBN-13: 9781119903833
相關分類: Machine Learning

無法訂購

商品描述

An up-to-date introduction to a market-leading platform for data analysis and machine learning

Machine learning is the process by which computer algorithms can be made progressively more effective through the accumulation of data and experience. A subset of artificial intelligence, it is an increasingly powerful business tool, driving ever more refined data analysis and decision-making. In recent years, JMP Pro(R) has emerged as one of the most effective and widely-used commercial analysis and data mining tools on the market, using machine learning to produce automated solutions to a range of data analysis needs.

Machine Learning for Business Analytics: Concepts, Techniques and Applications with JMP Pro(R), 2^nd ed. offers an accessible and engaging introduction to machine learning using this market-leading software. It provides concrete examples and case studies to educate new users and deepen existing users' understanding of their data and their business. Fully updated to incorporate new topics and instructional material, this remains the only comprehensive introduction to this crucial set of analytical tools specifically tailored to the needs of businesses.

Machine Learning for Business Analytics: Concepts, Techniques and Applications with JMP Pro(R), 2^nd ed. readers will also find:

Updated material which improves the book's usefulness as a reference for professionals beyond the classroom
Four new chapters, covering topics including Text Mining and Responsible Data Science
A guide to JMP Pro(R)'s new features and enhanced functionality

Machine Learning for Business Analytics: Concepts, Techniques and Applications with JMP Pro(R), 2^nd ed. is ideal for students and instructors of business analytics and data mining classes, as well as data science practitioners and professionals in data-driven industries.

商品描述(中文翻譯)

市場領導平台的最新數據分析與機器學習介紹

機器學習是指透過數據和經驗的累積，使計算機算法逐漸變得更有效的過程。作為人工智慧的一個子集，它已成為一種日益強大的商業工具，推動著更精細的數據分析和決策制定。近年來，JMP Pro(R) 已成為市場上最有效且廣泛使用的商業分析和數據挖掘工具之一，利用機器學習為各種數據分析需求提供自動化解決方案。

機器學習與商業分析：使用 JMP Pro(R) 的概念、技術與應用，第二版 提供了一個易於理解且引人入勝的機器學習介紹，使用這款市場領導軟體。它提供具體的範例和案例研究，以教育新用戶並加深現有用戶對其數據和業務的理解。此書已全面更新，納入新主題和教學材料，仍然是針對企業需求量身打造的這一關鍵分析工具的唯一綜合介紹。

機器學習與商業分析：使用 JMP Pro(R) 的概念、技術與應用，第二版 的讀者還將發現：

更新的材料，提高了本書作為專業人士參考的實用性，超越了課堂學習

四個新章節，涵蓋文本挖掘和負責任的數據科學等主題

JMP Pro(R) 新功能和增強功能的指南

機器學習與商業分析：使用 JMP Pro(R) 的概念、技術與應用，第二版 非常適合商業分析和數據挖掘課程的學生和講師，以及數據科學從業者和數據驅動行業的專業人士。

作者簡介

Galit Shmueli, PhD is Distinguished Professor at National Tsing Hua University's Institute of Service Science. She has designed and instructed business analytics courses since 2004 at University of Maryland, Statistics.com, The Indian School of Business, and National Tsing Hua University, Taiwan.

Peter C. Bruce is Founder of the Institute for Statistics Education at Statistics.com, and Chief Learning Officer at Elder Research, Inc.

Mia L. Stephens, M.S. is an Advisory Product Manager with JMP, driving the product vision and roadmaps for JMP(R) and JMP Pro(R).

Muralidhara Anandamurthy, PhD is an Academic Ambassador with JMP, overseeing technical support for academic users of JMP Pro(R).

Nitin R. Patel, PhD is cofounder and lead researcher at Cytel Inc. He is also a Fellow of the American Statistical Association and has served as a visiting professor at the Massachusetts Institute of Technology and Harvard University, among others.