Results for "fundamentals of reinforcement learning"
Status: Free TrialUniversity of Alberta
Skills you'll gain: Reinforcement Learning, Machine Learning, Artificial Intelligence, Markov Model, Algorithms, Linear Algebra, Probability Distribution
Status: Free TrialUniversity of Alberta
Skills you'll gain: Reinforcement Learning, Machine Learning, Sampling (Statistics), Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning Algorithms, Deep Learning, Simulations, Feature Engineering, Markov Model, Supervised Learning, Algorithms, Artificial Neural Networks, Performance Testing, Linear Algebra, Performance Tuning, Pseudocode, Probability Distribution
Status: PreviewMathWorks
Skills you'll gain: Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Applied Machine Learning, Machine Learning, Control Systems, Simulations
Status: Free TrialSkills you'll gain: Reinforcement Learning, Generative Model Architectures, Deep Learning, Unsupervised Learning, Image Analysis, Artificial Neural Networks, Keras (Neural Network Library), Machine Learning Algorithms, Machine Learning, Artificial Intelligence, Computer Vision, Applied Machine Learning, Dimensionality Reduction, Natural Language Processing
Status: NewStatus: PreviewSimplilearn
Skills you'll gain: Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Applied Machine Learning, Machine Learning, Supervised Learning, Unsupervised Learning, Markov Model
Status: NewStatus: Free TrialDartmouth College
Skills you'll gain: Supervised Learning, Predictive Modeling, Predictive Analytics, Statistical Modeling, Machine Learning, Machine Learning Algorithms, Regression Analysis, Probability & Statistics, Linear Algebra
What brings you to Coursera today?
Status: NewStatus: Free TrialDartmouth College
Skills you'll gain: Supervised Learning, Bayesian Network, Artificial Neural Networks, Predictive Analytics, Machine Learning Methods, Statistical Modeling, Predictive Modeling, Statistical Machine Learning, Probability & Statistics, Bayesian Statistics, Deep Learning, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Applied Machine Learning, Statistical Methods, Artificial Intelligence, Regression Analysis, Statistical Inference
Status: NewStatus: Free TrialDeepLearning.AI
Skills you'll gain: Data Quality, Data Pipelines, Machine Learning
Status: NewStatus: PreviewSkills you'll gain: Artificial Intelligence, Applied Machine Learning, Computational Logic, Machine Learning, Unsupervised Learning, Bayesian Statistics, Artificial Neural Networks, Reinforcement Learning, Markov Model, Algorithms, Probability & Statistics
Status: NewStatus: Free TrialSkills you'll gain: Feature Engineering, Microsoft Azure, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Data Processing, Data Cleansing, Supervised Learning, Data Transformation, MLOps (Machine Learning Operations), Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), Data Quality, Resource Management
Status: PreviewColumbia University
Skills you'll gain: Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Algorithms, Markov Model, Deep Learning, Data-Driven Decision-Making, Decision Support Systems, Simulations, Probability Distribution, Statistical Methods
Status: NewStatus: Free TrialLearnQuest
Skills you'll gain: Reinforcement Learning, Responsible AI, Agentic systems, Data Ethics, Artificial Intelligence, Machine Learning Methods, Distributed Computing, Simulations
In summary, here are 10 of our most popular fundamentals of reinforcement learning courses
- Fundamentals of Reinforcement Learning: University of Alberta
- Reinforcement Learning: University of Alberta
- Reinforcement Learning: MathWorks
- Deep Learning and Reinforcement Learning: IBM
- Fundamental of Reinforcement Training : Simplilearn
- Machine Learning Fundamentals: Dartmouth College
- Practical Machine Learning: Foundations to Neural Networks: Dartmouth College
- PyTorch: Fundamentals: DeepLearning.AI
- AI & Machine Learning: Apply, Build & Solve: EDUCBA
- Foundations of Machine Learning with Azure: Packt
