Data Science-Scientific and Statistical Computing
For Engineering, Computer and Life Sciences
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Many educational and training programs have emerged to address the growth demand for data scientists and professionals. In this context, this book is a short, concise and plenary course for data science. It provides hands-on experience of engineering in statistical computing, machine learning and time-series analysis. The book covers the subjects presented from basic to advanced levels. Therefore, the book can benefit both data scientists, students and those who are interested in pursuing a new career in data science. It offers a medley of the underlying theory and methods of the statistical c...
Many educational and training programs have emerged to address the growth demand for data scientists and professionals. In this context, this book is a short, concise and plenary course for data science. It provides hands-on experience of engineering in statistical computing, machine learning and time-series analysis. The book covers the subjects presented from basic to advanced levels. Therefore, the book can benefit both data scientists, students and those who are interested in pursuing a new career in data science. It offers a medley of the underlying theory and methods of the statistical computing and data analysis. Readers with non engineering background can get familiar with engineering terms and methods. The book includes many solved examples and computer simulations. Therefore, the readers can practice and develop these examples. In summary, this is an essential textbook for the foundations of data science.
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