Filter by
The language used throughout the course, in both instruction and assessments.
Results for "backward+induction"
Skills you'll gain: Artificial Neural Networks
Coursera Project Network
Skills you'll gain: Computer Programming, Computer Science
Johns Hopkins University
DeepLearning.AI
Skills you'll gain: Algebra, Linear Algebra, Machine Learning
Rice University
Skills you'll gain: Problem Solving
- Status: Free
Korea Advanced Institute of Science and Technology(KAIST)
Skills you'll gain: Algebra, Calculus, Critical Thinking, Differential Equations, Mathematics, Problem Solving, Mathematical Theory & Analysis, Computational Thinking, Continuous Integration
- Status: Free
National Taiwan University
Skills you'll gain: Algorithms, Human Learning, Machine Learning, Machine Learning Algorithms, Statistical Machine Learning
Imperial College London
Skills you'll gain: Algebra, Calculus, Linear Algebra, Mathematics, Differential Equations, Machine Learning, Machine Learning Algorithms, Mathematical Theory & Analysis, Computational Logic, Regression
Johns Hopkins University
Skills you'll gain: Mathematics, Algebra, Problem Solving, Calculus, Critical Thinking, Mathematical Theory & Analysis, Linear Algebra, Plot (Graphics), Applied Mathematics, Data Model, Regression, Angular, Geometry, Data Analysis, Graph Theory
Duke University
- Status: Free
Tecnológico de Monterrey
Skills you'll gain: Algebra, Calculus, Differential Equations, Mathematics, Linear Algebra, Mathematical Theory & Analysis, Algorithms, Computer Graphic Techniques, Graph Theory, Probability & Statistics
Duke University
In summary, here are 10 of our most popular backward+induction courses
- Generative AI: Prompt Engineering Basics:Â IBM
- Introduction to Basic Game Development using Scratch:Â Coursera Project Network
- Linear Algebra from Elementary to Advanced:Â Johns Hopkins University
- Linear Algebra for Machine Learning and Data Science:Â DeepLearning.AI
- Introduction to Electricity and Magnetism:Â Rice University
- Differential Equations Part I Basic Theory:Â Korea Advanced Institute of Science and Technology(KAIST)
- 機器å¸ç¿’基石上 (Machine Learning Foundations)---Mathematical Foundations: National Taiwan University
- Mathematics for Machine Learning: Multivariate Calculus:Â Imperial College London
- Precalculus through Data and Modelling:Â Johns Hopkins University
- Think Again III: How to Reason Inductively:Â Duke University