相關主題
商品描述
Artificial Intelligence and Systems of the Earth is a book about the potential and capabilities of Artificial Intelligence and Machine Learning for studying the Earth. It aims to serve as an eye-opener on new avenues of scientific research that can be enabled by AI/ML and acts as a "what if" book, rather than a "how to" book.
商品描述(中文翻譯)
《人工智慧與地球系統》是一本探討人工智慧和機器學習在研究地球方面潛力與能力的書籍。它旨在啟發讀者關於人工智慧/機器學習所能開啟的新科學研究方向，並且更像是一本「如果」的書，而非「如何」的書。
作者簡介
Michel Speiser is Chief Data Scientist at the International Centre for Earth Simulation (ICES Foundation) in Geneva, Switzerland. He strives to bring the advantages of AI and Machine Learning to bear on Earth Systems Modeling, Simulation & Visualization. He spent over six years at IBM Research, pushing the limits of data science, and unlocking the value hidden in large, complex data, drawing on techniques in probabilistic and statistical modeling, Machine Learning and Data Mining, and developing new tools and methods as needed. Michel holds a PhD in Information Systems and Operations Research (ETH Zurich), and Master's degrees in Computer Science (EPFL), Complex Systems (Chalmers University of Technology), and Mathematical Sciences (EPFL).
作者簡介(中文翻譯)
米歇爾·斯佩塞（Michel Speiser）是位於瑞士日內瓦的國際地球模擬中心（ICES Foundation）的首席數據科學家。他致力於將人工智慧（AI）和機器學習（Machine Learning）的優勢應用於地球系統建模、模擬與可視化。他在IBM研究部門工作了超過六年，推動數據科學的極限，挖掘大型複雜數據中隱藏的價值，並運用概率和統計建模、機器學習和數據挖掘等技術，根據需要開發新的工具和方法。米歇爾擁有蘇黎世聯邦理工學院（ETH Zurich）信息系統與運籌學的博士學位，以及洛桑聯邦理工學院（EPFL）計算機科學、查爾默斯科技大學（Chalmers University of Technology）複雜系統和洛桑聯邦理工學院（EPFL）數學科學的碩士學位。
