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Bookmark or Share- Machine Learning | Google for DevelopersAn introduction to preparing your data for ML workflows. Testing and Debugging. Strategies for testing and debugging machine learning models and pipelines. Explore Advanced Courses. Take more...
- Introduction to Machine Learning - MIT OpenCourseWareIntroduction to Machine Learning | Electrical Engineering and Computer Science | MIT OpenCourseWare. Online Publication. Course Description. This course introduces principles, algorithms, and applications of machine learning from the point of view of modeling and prediction.
- Machine learning, explained | MIT SloanWhat is machine learning? Machine learning is a subfield of artificial intelligence, which is broadly defined as the capability of a machine to imitate intelligent human behavior. Artificial intelligence systems are used to perform complex tasks in a way that is similar to how humans solve problems.
- What is Machine Learning? Definition, Types, Tools & MoreMachine learning is a subset of AI, which uses algorithms that learn from data to make predictions. These predictions can be generated through supervised learning, where algorithms learn patterns from existing data, or unsupervised learning, where they discover general patterns in data.
- Machine Learning | Google for DevelopersReady to start practicing machine learning? Learn and apply fundamental machine learning concepts with the Crash Course, get real-world experience with the companion Kaggle competition, or...
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