Machine Learning, Animated

Liu, Mark

Machine Learning, Animated
  • 出版商: CRC
  • 出版日期: 2023-10-31
  • 售價: $3,520
  • 貴賓價: 9.5 折 $3,344
  • 語言: 英文
  • 頁數: 436
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032462140
  • ISBN-13: 9781032462141
  • 相關分類: Machine Learning

    • 下單後立即進貨 (約2~4週)

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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（ML）領域的一場競爭，然而ML也被描述為一個黑盒子，非常難以理解。《Machine Learning, Animated》以動畫方式引導讀者進入基本的ML概念，並用三個詞彙概括了學習過程：初始化、調整和重複。這一過程通過動畫逐步展示，展示了機器學習的過程：從初始參數值到每一步的調整，再到最終收斂的參數和預測結果。

本書教授讀者如何使用全連接層和卷積層創建自己的神經網絡，並將其用於二元和多類別分類。讀者將學習如何構建深度學習遊戲策略，並將其與強化學習相結合，目睹人工智能在Atari遊戲（如Breakout、Space Invaders、Seaquest和Beam Rider）中實現超人類表現。

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、數學或統計學背景的讀者。

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)

Mark H. Liu是肯塔基大學金融學副教授，(創辦) MS金融計劃主任。Mark目前是美國肯塔基大學金融學碩士課程的主任，同時也是該校具有終身職位的金融學副教授。他於2004年從波士頓學院獲得金融學博士學位，並於1998年從加拿大西部大學獲得經濟學碩士學位。他的研究興趣包括機器學習和企業金融。他的研究成果已發表在《金融經濟學雜誌》、《金融與量化分析雜誌》、《公司金融學雜誌》和《公司金融研究評論》等頂尖金融期刊上。

Mark Liu博士在過去幾年中為肯塔基大學碩士生舉辦了Python工作坊。他將Python納入教學中，特別是現在正在教授研究生的Python預測分析課程。

作為MS金融計劃的主任，Mark親眼見證了所有行業對機器學習技能的高需求。他與數百家公司的高管和招聘人員互動，近年來這些公司越來越重視在所有商業領域中納入機器學習和數據分析技能的重要性。

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