ONLINE MACHINE LEARNING: A PRACTICAL GUIDE WITH EXAMPLES IN PYTHON The world we live in today is constantly evolving and changing at an incredible pace. The rapid development of technology has led to the emergence of new areas of science and innovative methods of solving complex problems. One such area is machine learning, which has become a key tool for solving various tasks in different fields, from natural language processing to image recognition and predictive analytics. This guide provides a comprehensive overview of online machine learning, focusing on practical examples in Python, making it accessible to readers who are not experts in programming or data science. The book begins by introducing the concept of machine learning and its importance in modern society. It discusses how machine learning can be used to solve real-world problems and how it has revolutionized many industries. The author then delves into the basics of machine learning, explaining the different types of algorithms and their applications in detail. The book also covers the importance of data preprocessing, feature selection, and model evaluation, providing readers with a solid foundation in the field.

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