Decision Making and Reinforcement Learning

14 ratings at Coursera

Explore sequential decision-making and reinforcement learning, covering utility theory, bandit problems, MDPs, POMDPs, Monte Carlo methods, and temporal difference learning. Gain practical skills through algorithms and examples.

• Coursera
• 1 day 23 hours 9 minutes
• On-Demand
• Free Online Course (Audit)

Microcredential

Artificial Intelligence

Comprehensive exploration of AI fundamentals, machine learning, robotics, and CGI animation. Gain advanced skills through hands-on projects and expert instruction from Columbia University's leading researchers.

• edX
• 46 weeks, 8-10 hours a week
• On-Demand
• $996.00

Geometric Folding Algorithms: Linkages, Origami, Polyhedra

This course focuses on the algorithms for analyzing and designing geometric foldings. Applications to architecture, robotics, manufacturing, and biology are also covered in this course.

• MIT OpenCourseWare
• 43 hours
• On-Demand
• Free Video

Algorithmic Lower Bounds: Fun with Hardness Proofs

The class focuses on reductions and techniques for proving problems are computationally hard for a variety of complexity classes.

• MIT OpenCourseWare
• 31 hours
• On-Demand
• Free Video

Guided Tour of Machine Learning in Finance

7 reviews

Introductory overview of machine learning applications in finance, covering supervised learning methods and their use in predicting bank closures. Suitable for finance professionals, traders, and students.

• Coursera
• 1 day 23 minutes
• On-Demand
• Free Online Course (Audit)

Algorithms

5 reviews

Learn how to structure and use algorithms to solve real life problems.

• edX
• 6 weeks, 6-8 hours a week
• On-Demand
• Free Online Course (Audit)

The Battlecode Programming Competition

This course is conducted as an artificial intelligence programming contest in Java. Students work in teams to program virtual robots to play Battlecode, a real-time strategy game.

• MIT OpenCourseWare
• 7 hours
• On-Demand
• Free Video

Client Needs and Software Requirements

6 reviews

This course covers practical techniques to elicit and express software requirements from client interactions.

• Coursera
• 12 hours 5 minutes
• On-Demand
• Free Online Course (Audit)

Advanced Software Construction in Java

Learn how to write programs that are safe from bugs, easy to understand, and ready for change.

• edX
• 10 weeks
• Finished
• Free Online Course (Audit)

Deep Learning in Life Sciences - Spring 2021

Explore cutting-edge applications of deep learning in genomics, drug design, protein folding, pathology, and neuroscience. Gain insights into AI's transformative potential in life sciences research and healthcare.

• YouTube
• 1 day 7 hours
• On-Demand
• Free Video

MIT Launch X – Becoming an Entrepreneur

Learn the business skills and startup mindset needed to embark on your entrepreneurial path from MIT’s premier program for aspiring entrepreneurs, MIT Launch. 

• edX
• 6 weeks, 1-3 hours a week
• Finished
• Free Online Course (Audit)

Cryptocurrency Engineering and Design - Spring 2018

Explore Bitcoin and cryptocurrency design, focusing on cryptography, game theory, and network architecture. Gain insights into blockchain technology, mining, transactions, and advanced concepts like Lightning Network.

• YouTube
• 1 day 1 hour
• On-Demand
• Free Video

Building Embodied Autonomous Agents

Explore modular agents for visual navigation, 3D semantic mapping, and embodied instruction following. Learn about self-supervised learning, semantic search policies, and state-of-the-art performance in challenging environments.

• YouTube
• 1 hour
• On-Demand
• Free Video

Large Language Models - Will They Keep Getting Bigger?

Explore the future of large language models, discussing scaling challenges, sparse mixtures of experts, improved prompting techniques, and new forms of supervision for enhanced NLP performance.

• YouTube
• 56 minutes
• On-Demand
• Free Video

Data Augmentation for Image-Based Reinforcement Learning

Explores data augmentation techniques for image-based reinforcement learning, presenting a model-free algorithm and a self-supervised framework for visual continuous control tasks, achieving state-of-the-art results.

• YouTube
• 52 minutes
• On-Demand
• Free Video