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This online course (MOOC) explores the basics of Machine Learning.The Stanford course provides a broad introduction to machine learning, datamining, and statistical pattern...
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This course is a continuation of Crypto I and explains the inner workings of public-key systems and cryptographic protocols. Students will learn how to reason about the security...
This online course explores the theory of automata and languages. It includes finite automata and the languages they can define, deterministic and nondeterministic automata,...
This online course gives an introduction to a variety of infectious diseases using a patient-centered, story-based approach. It includes various bacterial and viral infections.
This online course presents both exact and approximate algorithms for different types of inference tasks, and discusses where each could best be applied.
This online course (MOOC) teaches how to think like a mathematician. The course is not about traditional mathematical content, but rather about a certain way of thinking to...
This online course gives an introduction to the core concepts of ultrasound physics, transthoracic echocardiography, and lung ultrasound, as well as hemodynamic and global...
This online video lecture series gives an introduction to Natural Language Understanding as a sub-problem of artificial intelligence.
This online video lecture series gives an introduction to Artificial Intelligence (AI).
This online course program explores the strategic considerations and best practices of telehealth and telemedicine. Learners will examine the clinical, operational, financial,...
Cryptography is an indispensable tool for protecting information in computer systems. This course explains the inner workings of cryptographic primitives and how to correctly...
This online course explores data structures (heaps, balanced search trees, hash tables, bloom filters), graph primitives (applications of breadth-first and depth-first search,...
This online course discusses the key problems of parameter estimation in both directed and undirected models, as well as the structure learning task for directed models.
This online course teaches the essential ideas of Computer Science for beginners with no prior experience.
This online course explores the political, social, cultural, economic, institutional, and international factors that foster and obstruct the development and consolidation of...
This series of MOOCs explores the fundamentals of probabilistic graphical models.
This online video lecture series explores various technology trends and fields of innovation.
This online course gives an introduction to algorithms for learners with at least a little programming experience.
This online course explores greedy algorithms (scheduling, minimum spanning trees, clustering, Huffman codes) and dynamic programming (knapsack, sequence alignment, optimal...
This online course (MOOC) gives an introduction to the special theory of relativity. The course aims to enable anyone willing to put in some time and effort to understand the...
In this class, students will learn the basics of the PGM representation and how to construct them, using both human knowledge and machine learning techniques.
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