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A comprehensive overview of machine learning, a subfield of computer science that involves the study and construction of algorithms that can learn from and make predictions on data. The outline covers paradigms, applications, tools, methods, and algorithms of machine learning.
Learn how tensors are used to organize and represent data in machine learning, and how they relate to neural networks, tensor methods, and multilinear algebra. Find out the history, definition, and applications of tensors in various fields and domains.
TensorFlow is a free and open-source software library for machine learning and artificial intelligence, developed by the Google Brain team. It supports various programming languages, platforms, and hardware devices, and can run on dataflow graphs of multidimensional data arrays called tensors.
Machine learning (ML) is a field of artificial intelligence that develops and studies algorithms that can learn from data and generalize to unseen data. ML has many applications in various fields, such as natural language processing, computer vision, and medicine, and is related to data mining, statistics, and neural networks.
Learn how to use dumbbells, barbells, and kettlebells to build strength, size, and endurance. Find 15 free-weight exercises with tips, videos, and routines for different goals and fitness levels.
scikit-learn is a free and open-source library for machine learning in Python, with various algorithms and interoperability with NumPy and SciPy. Learn about its history, implementation, version history and alternatives.
Pilates is a low impact exercise method that balances strength, mobility, and flexibility. Learn what it is, how to start, what equipment you need, and the benefits of Pilates for your body and mind.
Learn the basics of weight training, including equipment, tips, and exercises for beginners. Find out how lifting weights can help you build muscle, burn calories, and improve your health.
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