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Experienced Computer Scientists analyze and solve computational problems at a level of abstraction that is beyond that of any particular programming language. This two-part...
This online video lecture series discusses advanced topics related to algorithms in computer science.
This online course teaches various methods of building a robust back testing system for trading strategies.
This online lecture provides an introduction to mathematical modeling of computational problems.
This course provides a case-based introduction to the exciting, high-demand field of machine learning. Students will learn to analyze large and complex datasets, build...
This online course explores the essentials of machine learning and algorithms to help improve learning from data without human intervention. Topics of the course include:...
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 course teaches its students about basic concepts in theoretical computer science – such as NP-completeness – and what they imply for solving tough algorithmic problems.
This online course program gives an introduction to quantum computing. Several individual online courses cover the hardware and architecture/algorithms of quantum computers and...
Advanced algorithms build upon basic ones and use new ideas. The course will start with networks flows which are used in more obvious applications such as optimal matchings,...
This online course is an introduction to discrete optimization and exposes students to some of the most fundamental concepts and algorithms in the field.
This course explores algorithms for mining and analyzing big text data to discover interesting patterns, extract useful knowledge, and support decision making.
This online course program gives an in-depth introduction to C++ programming. It includes the fundamentals of C++, object-oriented implementation, and data structures and...
This online course explores greedy algorithms (scheduling, minimum spanning trees, clustering, Huffman codes) and dynamic programming (knapsack, sequence alignment, optimal...
This online course explores topics such as asymptotic notation, sorting and searching, divide and conquer (master method, integer and matrix multiplication, closest pair), and...
This online course in Computer Science is one of the most popular MOOCs (massive open online courses). It's the online version of Harvard's introductory CS50 class. It...
This course teaches concepts of machine learning. Machine learning engineers build programs that dynamically perform the analyses that data scientists used to perform manually....
This course is designed to train students in the mathematical concepts and process of "Algorithmic Thinking", allowing them to build simpler, more efficient solutions to...
This online course program explores foundational machine learning techniques, from data manipulation to unsupervised and supervised algorithms. Prior experience with Python is...
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