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Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...

Prior machine learning experience (e.g., an introductory machine learning course ELEC_ENG 375/475 or COMP_SCI 349 or a similar course), a thorough understanding of Linear Algebra and Vector Calculus, ...

The Deep Learning Specialization is a foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the ...

In this online data science course, you will dive into computer vision as a field of study and research. Using the classic computer vision perspective, you will explore several computer vision tasks ...

Deep-Learning Discrete Calculus (DLDC) is an emerging field that integrates calculus, numerical methods, machine and deep learning algorithms to identify, model, and solve mathematical science systems ...

The content of CS224n Natural Language Processing with Deep Learning, a graduate level, one-semester course originally provided to Stanford University Computer Science students, has been made ...

This will be an introductory deep learning course suitable for advanced undergraduate students or beginning graduate students. The course will adopt an algorithmic perspective, and will cover ...

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