Artificial Intelligence Essentials
暫譯: 人工智慧基礎知識
Kramer, Oliver
- 出版商: Springer
- 出版日期: 2026-05-10
- 售價: $3,100
- 貴賓價: 9.5 折 $2,945
- 語言: 英文
- 頁數: 82
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 3032066360
- ISBN-13: 9783032066367
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相關分類:
Machine Learning
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相關主題
商品描述
The book provides a structured introduction to core areas of artificial intelligence, including machine learning, deep learning, large language models, and agent-based systems. It combines theoretical foundations with practical implementation, using tools such as scikit-learn, Keras, and Ollama. Each chapter includes code examples, exercises, and links to interactive notebooks. The focus lies on conveying applicable knowledge for real-world use. The book is intended for students and practitioners in computer science or related fields and can be used for teaching, self-study, or reference in applied contexts.
商品描述(中文翻譯)
本書提供了對人工智慧核心領域的結構化介紹，包括機器學習、深度學習、大型語言模型和基於代理的系統。它結合了理論基礎與實際實作，使用工具如 scikit-learn、Keras 和 Ollama。每一章節都包含程式碼範例、練習題和互動筆記本的連結。重點在於傳達可應用於實際世界的知識。本書適合計算機科學或相關領域的學生和從業人員，並可用於教學、自學或在應用情境中的參考。
作者簡介
Oliver Kramer is Professor of Computational Intelligence at the University of Oldenburg, Germany. His research focuses on evolutionary computation, machine learning, and large language model-based cognitive architectures, with applications in optimization, bioinformatics, and artificial general intelligence. He has authored numerous books and articles and has presented his work at leading conferences such as GECCO, CEC, and ESANN. His interdisciplinary projects explore connections between AI, biology, and cognitive science.
作者簡介(中文翻譯)
奧利佛·克拉默（Oliver Kramer）是德國奧爾登堡大學的計算智能教授。他的研究專注於進化計算、機器學習以及基於大型語言模型的認知架構，應用於優化、生物資訊學和人工通用智能。他已撰寫多本書籍和文章，並在GECCO、CEC和ESANN等頂尖會議上發表過他的研究成果。他的跨學科項目探索人工智慧、生物學和認知科學之間的聯繫。
