Data Science. Science of Data from Scratch

The book allows you to study data science (Data Science) and apply the acquired knowledge in practice. It contains a brief course on the Python language, elements of linear algebra, statistics, probability theory, and data processing methods. The basics of... machine learning are provided. Algorithms of A; nearest neighbors, naive Bayes classification, linear and logistic regression, as well as models based on decision trees, neural networks, and clustering are described. Techniques for natural language processing, methods for social network analysis, basics of databases, SQL, and MapReduce are considered. In the second edition, examples have been rewritten in Python 3.6, toy datasets have been replaced with 'real' ones, and materials on deep learning and data ethics, statistics, and natural language processing, recurrent neural networks, word vector embeddings, and matrix decomposition have been added.