Search result for Computer science: algorithms, theory, and machines Online Courses & Certifications
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Computer Science: Algorithms, Theory, and Machines
by Robert Sedgewick , Kevin Wayne- 4.7
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Approx. 20 hours to complete
It covers the second half of our book Computer Science: An Interdisciplinary Approach (the first half is covered in our Coursera course Computer Science: Programming with a Purpose, to be released in the fall of 2018). Our intent is to demystify computation and to build awareness about the substantial intellectual underpinnings and rich history of the field of computer science....
Computer Science: Programming with a Purpose
by Robert Sedgewick , Kevin Wayne- 4.7
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Approx. 88 hours to complete
The basis for education in the last millennium was “reading, writing, and arithmetic;” now it is reading, writing, and computing. This course covers the first half of our book Computer Science: An Interdisciplinary Approach (the second half is covered in our Coursera course Computer Science: Algorithms, Theory, and Machines). CONDITIONALS AND LOOPS...
Graph Theory Algorithms
by William Fiset- 4.6
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9 hours on-demand video
A complete overview of graph theory algorithms in computer science and mathematics. This course provides a complete introduction to Graph Theory algorithms in computer science. Storage and representation of graphs (networks) on a computer Various network flow algorithms including: Edmonds-Karp, Capacity Scaling, and Dinic's algorithm...
$21.99
Learn Graph algorithms with C++
by Kasun Liyanage- 0.0
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2.5 hours on-demand video
Graph theory hold corner stone of modern computer science, extending its tentacles to social networks to neural networks to finding paths in maps. In this course we are looking at graph theory by computer science prospective. Topological sorting and strongly connected component associated algorithms...
$12.99
Machine Learning with Python: from Linear Models to Deep Learning
by Regina Barzilay , Tommi Jaakkola , Karene Chu- 0.0
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15 Weeks
-- Part of the MITx MicroMasters program in Statistics and Data Science. Machine learning methods are commonly used across engineering and sciences, from computer systems to physics. As a discipline, machine learning tries to design and understand computer programs that learn from experience for the purpose of prediction or control. On-line algorithms, support vector machines, and neural networks/deep learning....
$300
Machine Learning
by Andrew NgTop Instructor- 4.9
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Approx. 61 hours to complete
(iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI). The course will also draw from numerous case studies and applications, so that you'll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas....
Foundations of Computer Science
by Aspen Olmsted- 4.8
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Approx. 16 hours to complete
Algorithms, History of Computing and Algorithm Efficiency Computer Hardware and Organization Computer Circuits Video Computer Networks, Cloud Computing and Information Security Computer Networking Introducion Reading Develop computer programs that utilize classes and objects to solve business and mathematical problems Develop computer programs that utilize collections of variables to solve business and mathematical problems...
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Machine Learning and Data Science Hands-on with Python and R
by EDU CBA- 3.9
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72.5 hours on-demand video
Machine Learning, Statistics, Python, AI, Tensorflow, AWS, Deep Learning, R Programming, NLP, Bayesian, BI and much more Artificial intelligence is the simulation of human intelligence through machines and mostly through computer systems. Machine learning is a subfield of computer science stemming from research into artificial intelligence. Example applications include spam filtering, optical character recognition (OCR), search engines and computer vision....
$9.99
Algorithm Design and Analysis
by Sampath Kannan- 0.0
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4 Weeks
Learn about the core principles of computer science: algorithmic thinking and computational problem solving. This course, part of the Computer Science Essentials for Software Development Professional Certificate program, is an introduction to design and analysis of algorithms, and answers along the way these and many other interesting computational questions....
$149
The Beauty and Joy of Computing - AP® CS Principles Part 2
by Dan Garcia- 0.0
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14 Weeks
Discover the big ideas and thinking practices in computer science plus learn how to code using one of the friendliest programming languages, Snap! (based on Scratch). Data and Information Recursion, Lambda and Higher Order Functions How to apply the "seven big ideas" of creativity, abstraction, data and information, algorithms, programming, the Internet, and global impact...
$49
