Название: Data Science and Analytics with PythonАвтор: Jesus Rogel-Salazar
Издательство: Chapman and Hall/CRC
Год: 2017
ISBN: 9781498742092
Серия: Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
Формат: pdf
Страниц: 400
Размер: 32 mb
Язык: English
The book is organized in a way that individual chapters are sufficiently independent from each other so that the reader is comfortable using the contents as a reference. The book discusses what data science and analytics are, from the point of view of the process and results obtained. Important features of Python are also covered, including a Python primer. The basic elements of machine learning, pattern recognition, and artificial intelligence that underpin the algorithms and implementations used in the rest of the book also appear in the first part of the book.
Regression analysis using Python, clustering techniques, and classification algorithms are covered in the second part of the book. Hierarchical clustering, decision trees, and ensemble techniques are also explored, along with dimensionality reduction techniques and recommendation systems. The support vector machine algorithm and the Kernel trick are discussed in the last part of the book.