Machine Learning, Animated
暫譯: 機器學習動畫化
Liu, Mark
- 出版商: CRC
- 出版日期: 2023-10-31
- 售價: $3,630
- 貴賓價: 9.5 折 $3,449
- 語言: 英文
- 頁數: 436
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1032462140
- ISBN-13: 9781032462141
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相關分類:
Machine Learning
海外代購書籍(需單獨結帳)
相關主題
商品描述
The release of ChatGPT has kicked off an arms race in Machine Learning (ML), however ML has also been described as a black box and very hard to understand.Machine Learning, Animated eases you into basic ML concepts and summarises the learning process in three words: initialize, adjust and repeat. This is illustrated step by step with animation to show how machines learn: from initial parameter values to adjusting each step, to the final converged parameters and predictions.
This book teaches readers to create their own neural networks with dense and convolutional layers, and use them to make binary and multi-category classifications. Readers will learn how to build deep learning game strategies and combine this with reinforcement learning, witnessing AI achieve super-human performance in Atari games such as Breakout, Space Invaders, Seaquest and Beam Rider.
Written in a clear and concise style, illustrated with animations and images, this book is particularly appealing to readers with no background in computer science, mathematics or statistics.
商品描述(中文翻譯)
ChatGPT 的發布引發了機器學習（Machine Learning, ML）領域的軍備競賽，然而 ML 也被形容為一個黑箱，難以理解。《機器學習動畫》將幫助你逐步了解基本的 ML 概念，並用三個詞總結學習過程：初始化、調整和 重複。這一過程通過動畫逐步展示機器如何學習：從初始參數值到每一步的調整，最終達到收斂的參數和預測結果。
本書教導讀者如何創建自己的神經網絡，包括密集層和卷積層，並利用這些網絡進行二元和多類別分類。讀者將學習如何構建深度學習遊戲策略，並將其與強化學習結合，見證 AI 在 Atari 遊戲中如《打磚塊》（Breakout）、《太空侵略者》（Space Invaders）、《海洋探險》（Seaquest）和《光束騎士》（Beam Rider）中達到超人類的表現。
本書以清晰簡潔的風格撰寫，並配有動畫和圖片，特別適合沒有計算機科學、數學或統計背景的讀者。
作者簡介
Mark H. Liu is Associate Professor of Finance, (Founding) Director of MS Finance Program, University of Kentucky.
Mark is currently the director of Master of Science in Finance program at the University of Kentucky, U.S.A. He is also an associate professor of finance with tenure at the University of Kentucky.
He obtained his Ph.D. in finance from Boston College in 2004 and his M.A. in economics from Western University in Canada in 1998. His research interest is in machine learning and corporate finance. He has published his research in top finance journals such as Journal of Financial Economics, Journal of Financial and Quantitative Analysis, Journal of Corporate Finance, and Review of Corporate Finance Studies.
Dr. Mark Liu has run Python workshops for master students at the University of Kentucky in the last few years. He has incorporated Python in his teaching. In particular, he is now teaching a Python Predictive Analytics course to graduate students.
As the director of the MS Finance program, Mark has seen first-hand the high demand for machine learning skills in all industries. He has interacted with executives and recruiters from hundreds of companies, who in recent years have put an increasing emphasis on the importance of incorporating machine learning and data analytics skills in all business fields.
作者簡介(中文翻譯)
馬克·H·劉（Mark H. Liu）是肯塔基大學（University of Kentucky）金融學副教授及金融碩士學程（MS Finance Program）創始主任。馬克目前擔任美國肯塔基大學金融碩士學程的主任，同時也是該校的終身副教授。他於2004年在波士頓學院（Boston College）獲得金融學博士學位，並於1998年在加拿大西安大略大學（Western University）獲得經濟學碩士學位。他的研究興趣包括機器學習（machine learning）和企業金融（corporate finance）。他在《金融經濟學期刊》（Journal of Financial Economics）、《金融與定量分析期刊》（Journal of Financial and Quantitative Analysis）、《企業金融期刊》（Journal of Corporate Finance）以及《企業金融研究評論》（Review of Corporate Finance Studies）等頂尖金融期刊上發表了研究成果。
馬克·劉博士在過去幾年中為肯塔基大學的碩士生舉辦了Python工作坊，並在教學中融入了Python。特別是，他目前正在教授一門針對研究生的Python預測分析（Predictive Analytics）課程。作為金融碩士學程的主任，馬克親眼目睹了各行各業對機器學習技能的高需求。他與來自數百家公司的高管和招聘人員互動，這些公司在近年來越來越強調在所有商業領域中融入機器學習和數據分析技能的重要性。
