Reinforcement Learning

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Introduction to Machine Learning (Coursera) Coursera
Duke University

Introduction to Machine Learning (Coursera)

Discover the basics of machine learning with our beginner-friendly course. Explore key concepts such as logistic regression, neural networks, and natural language processing. Gain practical experience applying these techniques to real-world challenges in healthcare, image recognition, and beyond.

Nov 16th 2026
5-12 Weeks
Supply Chain Analytics (Coursera) Coursera
IIT Roorkee

Supply Chain Analytics (Coursera)

Embark on a journey into the heart of Supply Chain Management with our Supply Chain Analytics course. Designed for business analysts, supply chain managers, and those looking to make a significant impact in their organizations, this course will equip you with cutting-edge skills in optimization and decision-making techniques. Whether you're aiming to advance your career or simply seeking to understand complex supply chain dynamics, this course offers a structured pathway to achieving your goals.

Nov 16th 2026
5-12 Weeks
Computational Neuroscience (Coursera) Coursera
University of Washington

Computational Neuroscience (Coursera)

Dive into the fascinating world of Computational Neuroscience with our introductory course designed for those curious about how the brain works at a computational level. Learn about representation in spiking neurons, neural network processing, and adaptive algorithms that underpin various aspects of vision, sensory-motor control, learning, and memory.

Nov 9th 2026
5-12 Weeks
Machine Learning Introduction for Everyone (Coursera) Coursera
IBM

Machine Learning Introduction for Everyone (Coursera)

Embark on a journey into the world of Machine Learning with our beginner-friendly course. Over three engaging modules, you'll explore the history, applications, and core concepts of machine learning, including supervised vs unsupervised learning, classification, regression, and model evaluation. Ideal for those new to data science looking to build a strong foundation.

Nov 9th 2026
3 Weeks
Sample-based Learning Methods (Coursera) Coursera
University of Alberta,Alberta Machine Intelligence Institute

Sample-based Learning Methods (Coursera)

Explore the world of sample-based learning methods in our comprehensive online course. Master intuitive yet effective algorithms like Monte Carlo methods and temporal difference learning techniques including Q-learning. Gain insights into combining model-based planning and TD updates for accelerated learning.

Nov 2nd 2026
4 Weeks
Prediction and Control with Function Approximation (Coursera) Coursera
University of Alberta,Alberta Machine Intelligence Institute

Prediction and Control with Function Approximation (Coursera)

Discover how to tackle intricate problems with vast and potentially infinite state spaces by mastering prediction and control through function approximation. This course transforms the way you approach complex decision-making processes, teaching you to view value estimation as a supervised learning challenge. You'll develop agents capable of optimizing rewards by striking the perfect balance between generalizing well across states and discriminating effectively among them.

Nov 2nd 2026
4 Weeks
Overview of Advanced Methods of Reinforcement Learning in Finance (Coursera) Coursera
New York University Tandon School of Engineering

Overview of Advanced Methods of Reinforcement Learning in Finance (Coursera)

Dive into the complex world of finance with our 'Overview of Advanced Methods of Reinforcement Learning in Finance' course. Mastering advanced reinforcement learning techniques will equip you with the tools needed to make informed, data-driven decisions in volatile financial markets.

Nov 2nd 2026
4 Weeks
Machine Learning: an overview (Coursera) Coursera
Politecnico di Milano

Machine Learning: an overview (Coursera)

Embark on a journey to understand the basics of Machine Learning with 'Machine Learning: An Overview' - an introductory course designed for beginners. This course will guide you through the taxonomy of machine learning problems, explore key algorithms, and illustrate their applications and constraints using real-world examples and case studies.

Nov 2nd 2026
3 Weeks
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