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Bookmark or Share- Machine Learning Specialization [3 courses] (Stanford) | CourseraTop Instructor. Enroll for Free. Starts May 13. Financial aid available. 410,082 already enrolled. About. Outcomes. Courses. Testimonials. What you'll learn. Build ML models with NumPy & scikit-learn, build & train supervised models for prediction & binary classification tasks (linear, logistic regression)
- What Is Machine Learning (ML)? | IBMWhat is ML? Machine learning (ML) is a branch of artificial intelligence (AI) and computer science that focuses on the using data and algorithms to enable AI to imitate the way that humans learn, gradually improving its accuracy.
- What is Machine Learning? | Google for DevelopersWhat is Machine Learning? Machine learning (ML) powers some of the most important technologies we use, from translation apps to autonomous vehicles. This course explains the core concepts behind...
- 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 OpenCourseWareThis course introduces principles, algorithms, and applications of machine learning from the point of view of modeling and prediction. It includes formulation of learning problems and concepts of representation, over-fitting, and generalization.
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