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  2. Learn key takeaway skills of Machine Learning and earn a certificate of completion. Create portfolio projects that showcase your new skills to help land your dream job.

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  1. 1.1 Introduction. 1.1.1 What is Machine Learning? Learning, like intelligence, covers such a broad range of processes that it is dif- cult to de ne precisely.

  2. Machine learning is a branch of computer science that allows computers to automatically infer patterns from data without being explicitly told what these patterns are.

  3. Arthur Samuel introduces machine learning in his paper as a subfield of computer science that gives computers the ability to learn without being explicitly programmed.

  4. Introduction to Machine Learning 1.1 What is Machine Learning? There is a great deal of misunderstanding about what machine learning is, fueled by recent success and at times sensationalist media coverage. While its applications have been and will continue to be extraordinarily powerful under the right circumstances, it’s important to gain ...

  5. Let’s begin with a high-level introduction. Machine learning, data mining, computer programming, and most relevant fields (excluding classical statistics) derive first from computer science, which encompasses everything related to the design and use of computers.

  6. Repository for Machine Learning resources, frameworks, and projects. Managed by the DLSU Machine Learning Group. - dlsucomet/MLResources

  7. A Hands-On Introduction to Machine Learning Packed with real-world examples, industry insights, and practical activities, this textbook is designed to teach machine learning in a way that is easy to understand and apply.

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