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Foundations of Data Science is committed to providing a high-quality communication platform for researchers, practitioners, and enthusiasts in the field of data science. It covers various aspects of data science, including but not limited to data analysis, data mining, machine learning, artificial intelligence, big data technology, etc. It comprehensively introduces various fields of data science from theoretical foundations to practical applications. The basic theories of data science are explained in a clear and concise manner, helping readers establish a solid theoretical foundation. At the same time, through specific case studies, the powerful role of data science in solving practical problems has been demonstrated in the practical application of data science. As a rare professional journal in data science. It has made positive contributions to promoting the development of data science with its authority, comprehensiveness, innovation, and practicality.

《數(shù)據(jù)科學基礎》致力于為數(shù)據(jù)科學領域的研究者、從業(yè)者和愛好者提供一個高質(zhì)量的交流平臺。它涵蓋了數(shù)據(jù)科學的各個方面，包括但不限于數(shù)據(jù)分析、數(shù)據(jù)挖掘、機器學習、人工智能、大數(shù)據(jù)技術(shù)等。它從理論基礎到實際應用，全面地介紹了數(shù)據(jù)科學的各個領域。對于數(shù)據(jù)科學的基礎理論，進行了深入淺出的講解，幫助讀者建立扎實的理論基礎。同時，對于數(shù)據(jù)科學的實際應用，通過具體的案例分析，展示了數(shù)據(jù)科學在解決實際問題中的強大作用。作為一本不可多得的數(shù)據(jù)科學專業(yè)雜志。它以其權(quán)威性、全面性、創(chuàng)新性和實用性，為推動數(shù)據(jù)科學的發(fā)展做出了積極貢獻。

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