Results for "practical reinforcement learning"
University of Alberta
Skills you'll gain: Reinforcement Learning, Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Agentic systems, Markov Model, Decision Intelligence, Algorithms
New York University
Skills you'll gain: Supervised Learning, Machine Learning Methods, Model Evaluation, Reinforcement Learning, Applied Machine Learning, Statistical Machine Learning, Statistical Methods, Dimensionality Reduction, Unsupervised Learning, Machine Learning Algorithms, Artificial Neural Networks, Statistical Modeling, Decision Tree Learning, Predictive Modeling, Financial Trading, Financial Market, Model Training, Machine Learning, Derivatives, Tensorflow
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
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
What brings you to Coursera today?
Corporate Finance Institute
Skills you'll gain: Classification Algorithms, Data Preprocessing, Feature Engineering, Data Visualization, Model Evaluation, Data Import/Export, Matplotlib, Exploratory Data Analysis, Data Presentation, Data Science, Plot (Graphics), Regression Analysis, Financial Data, Data Analysis, Business Analytics, Data Cleansing, Machine Learning Algorithms, Correlation Analysis, Advanced Analytics, Predictive Analytics
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
Alberta Machine Intelligence Institute
Skills you'll gain: Supervised Learning, Data Preprocessing, Feature Engineering, Model Optimization, Responsible AI, Machine Learning Algorithms, Data Ethics, Applied Machine Learning, Model Evaluation, Data Quality, Machine Learning Methods, Classification Algorithms, Model Training, MLOps (Machine Learning Operations), Model Deployment, Jupyter, Statistical Machine Learning, Data Validation, Machine Learning, Project Management
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
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
In summary, here are 10 of our most popular practical reinforcement learning courses
- Fundamentals of Reinforcement Learning:Â University of Alberta
- Machine Learning and Reinforcement Learning in Finance:Â New York University
- Cutting-Edge Topics in Deep Reinforcement Learning:Â Packt
- Deep Reinforcement Learning Hands-On:Â Packt
- Reinforcement Learning:Â University of Alberta
- Practical Machine Learning: Foundations to Neural Networks:Â Dartmouth College
- Practical Data Science for Data Analysts:Â Corporate Finance Institute
- AI for Business: Practical Applications:Â Madecraft
- Machine Learning: Algorithms in the Real World:Â Alberta Machine Intelligence Institute
- Machine Learning with Scikit-learn, PyTorch & Hugging Face:Â Coursera
