Hiroshi Hashimoto et al.: Data Science Textbook

Data science is an academic field that "handles data scientifically." It is defined as a concept that integrates methodologies related to statistics, data analysis, and machine learning to understand and analyze real-world phenomena through data. It is also understood as a convergent field that mobilizes scientific methodologies, processes, algorithms, and systems to extract knowledge and insights from various forms of data, similar to data mining, which extracts useful information from vast amounts of data to aid in decision-making. Data science is receiving even greater attention recently due to the explosive increase in the volume of data obtainable via wired and wireless internet driven by the rapid advancement of information and communication technology, coupled with the progress in high-performance computing and mobile devices, which has enabled big data processing that was previously impossible. Through this book, readers can learn everything from the meaning of data science to engineering applications such as financial data analysis and dynamic system analysis by actually analyzing them using Python. In particular, it allows readers to grasp the general outline of data science at a glance by explaining everything from basics such as data processing and the fundamentals of probability and statistics to statistical and machine learning techniques like regression analysis, pattern recognition, and deep learning; the analysis of time-series data that changes moment by moment, such as financial data; spectral analysis to identify noise or disturbances in sensor data; digital filters to remove noise or disturbances; and image processing through image data analysis. Above all, with explanations using Python examples that combine theory and practice, it is the perfect fit for readers who wish to learn data science and apply it to their respective fields.

Korean title: 데이터 사이언스 교과서

Korean author: 하시모토 히로시 외

Korean publisher: 성안당

ISBN-13: 9788931556810