Search result for Learning methods Online Courses & Certifications
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Convex Optimization
by Stephen Boyd , Henryk Blasinski- 0.0
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8 Weeks
Her research applies convex optimization techniques to a variety of non-convex applications, including sigmoidal programming, biconvex optimization, and structured reinforcement learning problems, with applications to political science, biology, and operations research. The background required to use the methods in your own research work or applications....
Understanding Artificial Intelligence through Algorithmic Information Theory
by Jean-Louis Dessalles- 0.0
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5 Weeks
Artificial Intelligence is more than just a collection of brilliant, innovative methods to solve problems. You will know how to formulate optimal hypotheses for a learning task. A criterion to make optimal hypotheses in learning tasks A new understanding of machine learning as a way to achieve compression...
$49
Introduction to Computational Materials Design
by Yoshitada MORIKAWA , Tamio OGUCHI , Masaaki Geshi- 0.0
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5 Weeks
The purpose of this course is to analyze the present status and possibilities of computational materials design and to implement a new paradigm of material science by learning basic cutting-edge computational methods and designing materials using quantum simulation program codes....
$139
Python OOP - Object Oriented Programming for Beginners
by Estefania Cassingena Navone- 4.4
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7.5 hours on-demand video
Use key concepts like Docstrings and Special methods in your programs. "The learning sticks. Learning Object Oriented Programming in Python is your next step into the powerful world of computer science. Methods Special Methods Learning Material & Resources Take your learning with you anywhere you go....
$14.99
Instructional Design with Orchestration Graphs
by Pierre Dillenbourg- 0.0
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5 Weeks
They are associated to operators that transform the data structures produced by learners during a learning activity into the data structures necessary to run the next activity. Instructional design is the process of building a sequence of learning activities though which learners will reach the learning objectives assigned to a session....
$139
Numerical Methods for Engineers
by Jeffrey R. Chasnov- 4.9
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Approx. 40 hours to complete
Numerical Methods for Engineers covers the most important numerical methods that an engineer should know. Runge-Kutta Methods | Lecture 50 Second-Order Runge-Kutta Methods | Lecture 51 Higher-Order Runge-Kutta Methods | Lecture 52 Runge-Kutta Methods and Quadrature Formulas Jacobi, Gauss-Seidel and SOR Methods | Lecture 66 Explicit Methods for Solving the Diffusion Equation | Lecture 69...
Learn To Code By Making a 2D Platformer in Unity
by James Doyle- 4.7
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13 hours on-demand video
This new course features a complete overhaul and uses the latest version of Unity as well as using updated methods to make learning & developing easier than ever! In this course you won’t just be learning programming concepts, but tying these concepts to real game development uses. Start learning today and let me help you become a game developer!...
$16.99
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Adobe Premiere Pro: Best Editing Software (detailed Course)
by Ashish Dintak- 4.5
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4 hours on-demand video
Learning all the editing tools and how to use all the Editing effects in Adobe Premiere Pro. Learning how to do Colour Correction of your clips. You will be learning about key frames which is a very important topic of Adobe Premiere Pro. Detailed learning about key frames! Learning how to export external effect to Premiere Pro!...
$12.99
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
Machine Learning: Clustering & Retrieval
by Emily Fox , Carlos Guestrin- 4.6
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Approx. 17 hours to complete
You will implement expectation maximization (EM) to learn the document clusterings, and see how to scale the methods using MapReduce. Learning Outcomes: By the end of this course, you will be able to: -Compare and contrast supervised and unsupervised learning tasks. Important Update regarding the Machine Learning Specialization Learning LDA model via Gibbs sampling...
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