Search result for Randomized optimization Online Courses & Certifications
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Machine Learning: Unsupervised Learning
by Charles Isbell , Michael Littman , Pushkar Kolhe- 0.0
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Approx. 1 months
You will learn about and practice a variety of Unsupervised Learning approaches, including: randomized optimization, clustering, feature selection and transformation, and information theory....
Free
Approximation Algorithms Part I
by Claire Mathieu- 4.8
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Approx. 36 hours to complete
Upon completion, you will be able to recognize, when faced with a new combinatorial optimization problem, whether it is close to one of a few known basic problems, and will be able to design linear programming relaxations and use randomized rounding to attempt to solve your own problem. Multiway Cut and Randomized Rounding...
Approximation Algorithms Part II
by Claire Mathieu- 4.8
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Approx. 33 hours to complete
Upon completion, you will be able to recognize, when faced with a new combinatorial optimization problem, whether it is close to one of a few known basic problems, and will be able to design linear programming relaxations and use randomized rounding to attempt to solve your own problem....
Machine Learning
by Michael Littman , Charles Isbell , Pushkar Kolhe- 0.0
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Approx. 4 months
lesson 1 Supervised Learning Machine Learning is the ROX Decision Trees Regression and Classification Neural Networks Instance-Based Learning Ensemble B&B Kernel Methods and Support Vector Machines (SVM)s Computational Learning Theory VC Dimensions Bayesian Learning Bayesian Inference lesson 2 Unsupervised Learning Randomized optimization Clustering Feature Selection Feature Transformation Information Theory lesson 3 Reinforcement Learning Markov Decision Processes Reinforcement Learning Game Theory...
Free
Modern Robotics, Course 4: Robot Motion Planning and Control
by Kevin Lynch- 4.9
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Approx. 32 hours to complete
Chapter 10, Motion Planning, of the "Modern Robotics" textbook covers foundational material like C-space obstacles, graphs and trees, and graph search, as well as classical and modern motion planning techniques, such as grid-based motion planning, randomized sampling-based planners, and virtual potential fields. Nonlinear Optimization (Chapter 10. Lecture Comprehension, Nonlinear Optimization (Chapter 10....
機器學習技法 (Machine Learning Techniques)
by 林軒田- 0.0
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Approx. 19 hours to complete
Optimization View of AdaBoost Optimization and Regularization Error Optimization Techniques...
Build Regression, Classification, and Clustering Models
by Anastas Stoyanovsky- 0.0
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Approx. 20 hours to complete
Hyperparameter Optimization Randomized Search Bayesian Optimization Local Optimization...
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Advanced Optimization and Randomized Methods
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This course will cover a variety of topics from optimization (convex, nonconvex, continuous and combinatorial) as well as streaming algorithms....
Readings in Optimization | Sloan School of Management ...
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Course readings revolve around this term's topic, randomized methods for deterministic optimization. Course Description In keeping with the tradition of the last twenty-some years, the Readings in Optimization seminar will focus on an advanced topic of interest to a portion of the MIT optimization community: randomized methods for deterministic ....
A2 Randomized Optimization.pdf - Randomized Optimization ...
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And by "feel Randomized Optimization 2 of 3 9/10/20, 5:08 pm free to", of course, I mean "do". a description of your optimization problems, and why you feel that they are interesting and exercise the strengths and weaknesses of each approach....
