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Machine Learning, Data Science, and the use of Artificial Intelligence technologies are growing rapidly in our society. Just a few applications include self-driving cars, personal assistants, product recommendations, robotics, data analysis, and web searching. These applications typically involve self-learning systems that are trained based on large amounts of data and the integration of "intelligence" based on algorithms.
To begin mastering the field of machine learning and AI, students must be fluent in the requisite computer science and mathematics topics, and this book provides a comprehensive introduction to both. Readers completing this book will attain a general working knowledge of the Python programming language and math concepts needed, including Statistics, Linear Algebra, and Calculus, to implement and analyze traditional and advanced Machine Learning algorithms.
Machine Learning, Data Science, and the use of Artificial Intelligence technologies are growing rapidly in our society. Just a few applications include self-driving cars, personal assistants, product recommendations, robotics, data analysis, and web searching. These applications typically involve self-learning systems that are trained based on large amounts of data and the integration of "intelligence" based on algorithms.
To begin mastering the field of machine learning and AI, students must be fluent in the requisite computer science and mathematics topics, and this book provides a comprehensive introduction to both. Readers completing this book will attain a general working knowledge of the Python programming language and math concepts needed, including Statistics, Linear Algebra, and Calculus, to implement and analyze traditional and advanced Machine Learning algorithms.
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