Search result for Algorithms Online Courses & Certifications
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Approximation Algorithms
by Mark de Berg- 4.7
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Approx. 15 hours to complete
Many real-world algorithmic problems cannot be solved efficiently using traditional algorithmic tools, for example because the problems are NP-hard. The goal of this course is to become familiar with important algorithmic concepts and techniques needed to effectively deal with such problems. We will see how to efficiently find such approximations. Prerequisites:...
Deep Learning in Computer Vision
by Anton Konushin , Alexey Artemov- 3.8
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Approx. 13 hours to complete
Deep learning added a huge boost to the already rapidly developing field of computer vision. With deep learning, a lot of new applications of computer vision techniques have been introduced and are now becoming parts of our everyday lives. These include face recognition and indexing, photo stylization or machine vision in self-driving cars....
Cloud Computing Concepts: Part 2
by Indranil Gupta- 4.6
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Approx. 20 hours to complete
Cloud computing systems today, whether open-source or used inside companies, are built using a common set of core techniques, algorithms, and design philosophies – all centered around distributed systems. Learn about such fundamental distributed computing "concepts" for cloud computing. Know how these systems work from the inside out. Get your hands dirty using these concepts with provided homework exercises....
Methods for Solving Problems
by David Quigley- 4.4
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Approx. 7 hours to complete
In this course, we will explore different types of problems, the boundaries of what makes a problem solvable, and the different algorithms, rules, and heuristics we can implement to solve these problems. Problems for Minds and Machines Solving Problems Problems for Minds and Machines Recognizing, Defining, and Representing Problems Recognizing and Solving Problems...
Addressing Large Hadron Collider Challenges by Machine Learning
by Andrei Ustyuzhanin , Mikhail Hushchyn- 4.5
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Approx. 24 hours to complete
The Large Hadron Collider (LHC) is the largest data generation machine for the time being. It doesn’t produce the big data, the data is gigantic. Just one of the four experiments generates thousands gigabytes per second. The intensity of data flow is only going to be increased over the time. Do you have technical problems?...
Computational Vision
by David Quigley- 0.0
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Approx. 8 hours to complete
In this course, we will expand on vision as a cognitive problem space and explore models that address various vision tasks. We will then explore how the boundaries of these problems lead to a more complex analysis of the mind and the brain and how these explorations lead to more complex computational models of understanding....
Interpersonal, Developmental, and Evolutionary Perspectives of the Mind
by David Quigley- 4.3
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Approx. 13 hours to complete
In this course, we will explore how individual problem solving, judgment, and decision making can be influenced by interpersonal and developmental factors. Introduction Multiple Deciding Agents - A Simple Model Multiple Deciding Agents Game Theory Game Theory: Prisoner's Dilemma Game Theory: Axelrod's Tournament Games "In the Large" Prisoner's Dilemma Strategies Scale and Complexity...
Algorithms, Part I
by Kevin Wayne , Robert Sedgewick- 4.9
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Approx. 54 hours to complete
This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms. Part II focuses on graph- and string-processing algorithms. All the features of this course are available for free....
Algorithms, Part II
by Robert Sedgewick , Kevin Wayne- 4.9
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Approx. 63 hours to complete
This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms. Part II focuses on graph- and string-processing algorithms. All the features of this course are available for free....
Computer Science: Algorithms, Theory, and Machines
by Robert Sedgewick , Kevin Wayne- 4.7
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Approx. 20 hours to complete
This course introduces the broader discipline of computer science to people having basic familiarity with Java programming. 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)....
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