Results for "practical+reinforcement+learning"
Skills you'll gain: PyTorch (Machine Learning Library), Reinforcement Learning, Deep Learning, Model Optimization, Large Language Modeling, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Fine-tuning, Model Training, Agentic systems, Machine Learning Algorithms, Machine Learning, Python Programming, Applied Machine Learning, Natural Language Processing, Performance Tuning, Algorithms, Model Evaluation, Data Analysis
University of Alberta
Skills you'll gain: Reinforcement Learning, Machine Learning Methods, Machine Learning, Sampling (Statistics), Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Systems Development, Simulations, Solution Architecture, Agentic systems, Feature Engineering, Model Training, Artificial Intelligence and Machine Learning (AI/ML), Markov Model, Decision Intelligence, Supervised Learning, Algorithms, Model Evaluation, Applied Machine Learning
Dartmouth College
Skills you'll gain: Supervised Learning, Bayesian Network, Logistic Regression, Artificial Neural Networks, Machine Learning Methods, Statistical Modeling, Predictive Modeling, Model Evaluation, Convolutional Neural Networks, Statistical Machine Learning, Probability & Statistics, Bayesian Statistics, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Statistical Methods, Artificial Intelligence, Regression Analysis, Statistical Inference
University of Alberta
Skills you'll gain: Reinforcement Learning, Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Agentic systems, Markov Model, Decision Intelligence, Algorithms
Skills you'll gain: Reinforcement Learning, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Model Optimization, Fine-tuning, Agentic systems, Artificial Neural Networks, Machine Learning, Model Training, Machine Learning Algorithms, Data Analysis
MathWorks
Skills you'll gain: Reinforcement Learning, Agentic systems, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Applied Machine Learning, Control Systems
What brings you to Coursera today?
Skills you'll gain: Prompt Engineering, Prompt Engineering Tools, Generative AI, Responsible AI, Large Language Modeling, AI Personalization, Brand Strategy, Business Process Automation, MarTech, AI Enablement, Marketing, AI literacy, Artificial Intelligence and Machine Learning (AI/ML), Business Solutions, AI Workflows, Digital Marketing, Automation, Content Creation, Data Ethics, Customer Engagement
Skills you'll gain: Generative AI, Model Evaluation, Supervised Learning, Generative Model Architectures, Recurrent Neural Networks (RNNs), Unsupervised Learning, Data Preprocessing, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Data Collection, Model Optimization, Convolutional Neural Networks, Model Deployment, Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Machine Learning Software
Skills you'll gain: PyTorch (Machine Learning Library), Reinforcement Learning, Deep Learning, Machine Learning Methods, Artificial Neural Networks, Model Training, Machine Learning, Machine Learning Algorithms, Model Optimization, Python Programming, Algorithms, Model Evaluation
Columbia University
Skills you'll gain: Reinforcement Learning, Machine Learning Methods, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Algorithms, Decision Intelligence, Markov Model, Deep Learning, Applied Machine Learning, Statistical Methods, Sampling (Statistics)
Skills you'll gain: Agentic Workflows, Technical Communication, AI Enablement, Model Deployment, AI Workflows, Generative AI Agents, Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Decision Intelligence, Agentic systems, Responsible AI, Artificial Intelligence, Cloud Computing, Deep Learning, Data Visualization, Python Programming, Machine Learning, Data Engineering, Anomaly Detection, Statistical Analysis
Skills you'll gain: Reinforcement Learning, Deep Learning, Model Optimization, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Machine Learning, Model Training, Applied Machine Learning, Natural Language Processing, Performance Tuning
In summary, here are 10 of our most popular practical+reinforcement+learning courses
- Deep Reinforcement Learning Hands-On:Â Packt
- Reinforcement Learning:Â University of Alberta
- Practical Machine Learning: Foundations to Neural Networks:Â Dartmouth College
- Fundamentals of Reinforcement Learning:Â University of Alberta
- Cutting-Edge Topics in Deep Reinforcement Learning:Â Packt
- Reinforcement Learning:Â MathWorks
- AI for Business: Practical Applications:Â Madecraft
- Machine Learning with Scikit-learn, PyTorch & Hugging Face:Â Coursera
- Foundations of Deep Reinforcement Learning with PyTorch:Â Packt
- Decision Making and Reinforcement Learning:Â Columbia University
