We're still working on our article for Cost Functions. Please check back soon for more information.
Find a path to becoming a Cost Functions. Learn more at:
OpenCourser.com/topic/f8uet6/cost
Reading list
We've selected 12 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Cost Functions.
Classic reference on convex optimization. It covers a wide range of topics, from basic concepts to advanced algorithms.
Provides a comprehensive overview of optimization, covering both theoretical and practical aspects. It is suitable for a wide range of readers, from beginners to experienced researchers.
Provides a comprehensive overview of machine learning. It covers a wide range of topics, from basic concepts to advanced algorithms.
Provides a comprehensive overview of information theory, inference, and learning algorithms. It covers a wide range of topics, from basic concepts to advanced algorithms.
Provides a comprehensive overview of statistical learning with sparsity. It covers a wide range of topics, from basic concepts to advanced algorithms.
Provides a comprehensive overview of deep learning. It covers a wide range of topics, from basic concepts to advanced algorithms.
Provides a comprehensive overview of reinforcement learning. It covers a wide range of topics, from basic concepts to advanced algorithms.
Provides a comprehensive overview of machine learning for beginners. It covers a wide range of topics, from basic concepts to advanced algorithms.
Provides a comprehensive overview of artificial intelligence. It covers a wide range of topics, from basic concepts to advanced algorithms.
Provides a comprehensive overview of mathematics for machine learning. It covers a wide range of topics, from basic concepts to advanced algorithms.
Provides a comprehensive overview of deep learning. It covers a wide range of topics, from basic concepts to advanced algorithms.
Provides a comprehensive overview of hands-on machine learning with Scikit-Learn and TensorFlow. It covers a wide range of topics, from basic concepts to advanced algorithms.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/f8uet6/cost
Save
