Machine Learning: The Basics

Jung, Alexander

  • 出版商: Springer
  • 出版日期: 2023-01-23
  • 售價: $2,730
  • 貴賓價: 9.5$2,594
  • 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(Machine learning,簡稱ML)已成為我們日常生活中常見的元素,也是許多科學和工程領域的標準工具。要充分利用ML,了解其基本原理是至關重要的。
本書將ML視為科學原理的計算實現。這個原理包括通過最小化預測所產生的某種損失來不斷調整對給定數據生成現象的模型。
本書訓練讀者從數據、模型和損失的角度來分解各種ML應用和方法,從而幫助他們從眾多現成的ML方法中做出選擇。
本書對ML的三要素方法提供了統一的涵蓋範圍,涵蓋了各種概念和技術。例如,正則化、隱私保護以及可解釋性等技術都涉及到ML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)

Alexander Jung是芬蘭阿爾托大學計算機科學系的機器學習助理教授,他領導著名為「大數據機器學習」的研究小組。他在機器學習、人工智慧和凸優化等課程是阿爾托大學最受歡迎的課程之一。他在2011年的IEEE ICASSP高級信號處理會議上獲得了最佳學生論文獎,並在2018年獲得了亞馬遜網絡服務的機器學習獎,同年還被計算機科學系選為年度教師。他還擔任IEEE信號處理信件的副編輯。