Machine learning has become a dominant problem-solving technique in the
modern world, with applications ranging from search engines and social
media to self-driving cars and artificial intelligence. This lucid
textbook presents the theoretical foundations of machine learning
algorithms, and then illustrates each concept with its detailed
implementation in Python to allow beginners to effectively implement the
principles in real-world applications. All major techniques, such as
regression, classification, clustering, deep learning, and association
mining, have been illustrated using step-by-step coding instructions to
help inculcate a 'learning by doing' approach. The book has no
prerequisites, and covers the subject from the ground up, including a
detailed introductory chapter on the Python language. As such, it is
going to be a valuable resource not only for students of computer
science, but also for anyone looking for a foundation in the subject, as
well as professionals looking for a ready reckoner.