Machine Learning: The Basics
暫譯: 機器學習:基礎知識

Jung, Alexander

  • 出版商: Springer
  • 出版日期: 2023-01-23
  • 售價: $2,460
  • 貴賓價: 9.5$2,337
  • 語言: 英文
  • 頁數: 212
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 9811681953
  • ISBN-13: 9789811681950
  • 相關分類: Machine Learning
  • 海外代購書籍(需單獨結帳)

商品描述

Machine learning (ML) has become a commonplace element in our everyday lives and a standard tool for many fields of science and engineering. To make optimal use of ML, it is essential to understand its underlying principles.
This book approaches ML as the computational implementation of the scientific principle. This principle consists of continuously adapting a model of a given data-generating phenomenon by minimizing some form of loss incurred by its predictions.
The book trains readers to break down various ML applications and methods in terms of data, model, and loss, thus helping them to choose from the vast range of ready-made ML methods.
The book's three-component approach to ML provides uniform coverage of a wide range of concepts and techniques. As a case in point, techniques for regularization, privacy-preservation as well as explainability amount to specific design choices for the model, data, and loss of a ML method.

商品描述(中文翻譯)

機器學習(ML)已成為我們日常生活中的一個普遍元素,也是許多科學和工程領域的標準工具。為了最佳利用機器學習,理解其基本原則是至關重要的。
本書將機器學習視為科學原則的計算實現。這一原則包括通過最小化預測所產生的某種損失,持續調整給定數據生成現象的模型。
本書訓練讀者從數據、模型和損失的角度分析各種機器學習應用和方法,幫助他們從眾多現成的機器學習方法中進行選擇。
本書的三組件機器學習方法提供了對廣泛概念和技術的統一覆蓋。舉例來說,正則化、隱私保護以及可解釋性的技術都是針對機器學習方法的模型、數據和損失的具體設計選擇。

作者簡介

Alexander Jung is Assistant Professor of Machine Learning at the Department of Computer Science, Aalto University where he leads the research group "Machine Learning for Big Data". His courses on machine learning, artificial intelligence, and convex optimization are among the most popular courses offered at Aalto University. He received a Best Student Paper Award at the premium signal processing conference IEEE ICASSP in 2011, an Amazon Web Services Machine Learning Award in 2018, and was elected as Teacher of the Year by the Department of Computer Science in 2018. He serves as an Associate Editor for the IEEE Signal Processing Letters.

作者簡介(中文翻譯)

亞歷山大·容(Alexander Jung)是阿爾托大學(Aalto University)計算機科學系的機器學習助理教授,負責領導「大數據的機器學習」研究小組。他教授的機器學習、人工智慧和凸優化課程是阿爾托大學最受歡迎的課程之一。他於2011年在高端信號處理會議IEEE ICASSP獲得最佳學生論文獎,2018年獲得亞馬遜網路服務(Amazon Web Services)機器學習獎,並於2018年被計算機科學系選為年度教師。他擔任IEEE Signal Processing Letters的副編輯。