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A Hands-On Introduction to Machine Learning
A Hands-On Introduction to Machine Learning
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- More about A Hands-On Introduction to Machine Learning
This textbook provides a comprehensive and easy-to-understand introduction to machine learning,with real-world examples,industry insights,and practical activities. It assumes only a basic knowledge of technology and is ideal for students and professionals,including those new to computer science. Python is used as the primary language,with R solutions available for greater versatility. Online resources include example syllabi,a solutions manual,and lecture slides,along with datasets and code for students to practice.
Format: Hardback
Length: 500 pages
Publication date: 29 December 2022
Publisher: Cambridge University Press
This comprehensive textbook is meticulously crafted to provide an accessible and engaging introduction to machine learning, catering to students and professionals alike, regardless of their level of technological expertise. It assumes a foundational understanding of technology, making it an ideal resource for those embarking on their computer science journey, as well as seasoned professionals seeking to expand their knowledge in this rapidly evolving field.
Spanning a wide range of essential topics, the textbook encompasses supervised and unsupervised learning, neural networks, reinforcement learning, cloud-based services, and the ethical considerations that continue to shape the industry. While Python serves as the primary language for instruction, numerous exercises offer solutions in both Python and R, fostering greater versatility in the learning process.
To support teaching across diverse courses, an extensive suite of online resources is readily accessible. These resources include example syllabi, a comprehensive solutions manual, and lecture slides, all designed to enhance the learning experience. Additionally, datasets and code are made available online, empowering students with the necessary tools to practice and apply the examples and problems presented in the book.
By combining theoretical foundations with real-world applications, this textbook equips readers with the skills and knowledge required to excel in the field of machine learning. Whether you are a student, researcher, or industry professional, this comprehensive resource will serve as a valuable guide on your journey into the world of artificial intelligence.
Weight: 1204g
Dimension: 210 x 260 x 27 (mm)
ISBN-13: 9781009123303
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