A Hands-On Introduction to Machine Learning (Hardcover)

Packed with real-world examples, industry insights and practical activities, this textbook is designed to teach machine learning in a way that is easy to understand and apply. It assumes only a basic knowledge of technology, making it an ideal resource for students and professionals, including those who are new to computer science. All the necessary topics are covered, including supervised and unsupervised learning, neural networks, reinforcement learning, cloud-based services, and the ethical issues still posing problems within the industry. While Python is used as the primary language, many exercises will also have the solutions provided in R for greater versatility. A suite of online resources is available to support teaching across a range of different courses, including example syllabi, a solutions manual, and lecture slides. Datasets and code are also available online for students, giving them everything they need to practice the examples and problems in the book.

這本教科書充滿了實際案例、行業見解和實用活動，旨在以易於理解和應用的方式教授機器學習。它假設讀者只具備基本的技術知識，因此非常適合學生和專業人士使用，包括那些對計算機科學尚不熟悉的人。書中涵蓋了所有必要的主題，包括監督學習和非監督學習、神經網絡、強化學習、基於雲的服務以及行業內仍然存在問題的倫理問題。雖然主要使用Python作為編程語言，但許多練習也提供了R的解決方案，以增加靈活性。此外，還提供了一套在線資源，以支持不同課程的教學，包括示例教學大綱、解答手冊和講義幻燈片。學生還可以在線獲得數據集和代碼，以便他們能夠練習書中的例子和問題。