So you've heard a lot about AI and Machine learning. But what does it actually mean? This book could be the answer you're looking for... This book is an introduction to basic machine learning and artificial intelligence. It gives you a list of applications, and also a few examples of the different types of machine learning. Here's What You'll Learn in this Book: Introduction to Machine Learning Different Applications of Machine Learning Introduction to Statistics for Machine Learning Supervised Learning Unsupervised Learning Reinforced Learning Conclusion
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Author:-A.C. Faul. Title:-A Concise Introduction to Machine Learning (Chapman & Hall/CRC Machine Learning & Pattern Recognition).
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Create a more and effective learning that meets the needs of all students. Learn how to use the profound Machine learning advancements in the field of education. It covers a wide range of topics, including personalizing learning using machine learning, improving student outcomes, and optimizing educational resources.
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Where machine learning can help engineers. Where machine learning cannot help engineers. Machine learning to correct idealized models. The Landscape of machine learning. Supervised learning. Unsupervised Learning.
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As researchers and practitioners in the field, the editors of this book recognize the importance of disseminating knowledge and fostering collaboration to further advance this dynamic discipline. the intersection of software engineering and machine learning applications.
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This book provides conceptual understanding of machine learning algorithms though supervised, unsupervised, and advanced learning techniques. The book consists of four parts: foundation, supervised learning, unsupervised learning, and advanced learning.
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