Search result for Reinforcement learning course mit Online Courses & Certifications
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Reinforcement Learning for Trading Strategies
by Jack Farmer , Ram Seshadri- 3.7
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Approx. 12 hours to complete
In the final course from the Machine Learning for Trading specialization, you will be introduced to reinforcement learning (RL) and the benefits of using reinforcement learning in trading strategies. Introduction to Course and Reinforcement Learning Benefits of Reinforcement Learning in Your Trading Strategy Neural Network Based Reinforcement Learning Understand the structure and techniques used in reinforcement learning (RL) strategies....
Reinforcement Learning in Finance
by Igor Halperin- 3.6
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Approx. 17 hours to complete
This course aims at introducing the fundamental concepts of Reinforcement Learning (RL), and develop use cases for applications of RL for option valuation, trading, and asset management. - Apply their knowledge acquired in the course to a simple model for market dynamics that is obtained using reinforcement learning as the course project....
Practical Reinforcement Learning
by Pavel Shvechikov , Alexander Panin- 4.3
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Approx. 26 hours to complete
Welcome to the Reinforcement Learning course. Reinforcement learning vs all Rules on the academic integrity in the course Model-free reinforcement learning Supervised & Reinforcement Learning Combining supervised & reinforcement learning...
Machine Learning with Python: from Linear Models to Deep Learning
by Regina Barzilay , Tommi Jaakkola , Karene Chu- 0.0
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15 Weeks
An in-depth introduction to the field of machine learning, from linear models to deep learning and reinforcement learning, through hands-on Python projects. Clustering, classification, recommender problems, probabilistic modeling, reinforcement learning; This course is part of theMITx MicroMasters Program in Statistics and Data Science. Understand principles behind machine learning problems such as classification, regression, clustering, and reinforcement learning...
$300
Fundamentals of Reinforcement Learning
by Martha White , Adam White- 4.8
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Approx. 15 hours to complete
Reinforcement Learning is a subfield of Machine Learning, but is also a general purpose formalism for automated decision-making and AI. This course introduces you to statistical learning techniques where an agent explicitly takes actions and interacts with the world. This is the first course of the Reinforcement Learning Specialization. Reinforcement Learning Textbook...
Fundamentals of Machine Learning in Finance
by Igor Halperin- 3.8
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Approx. 18 hours to complete
A learner with some or no previous knowledge of Machine Learning (ML) will get to know main algorithms of Supervised and Unsupervised Learning, and Reinforcement Learning, and will be able to use ML open source Python packages to design, test, and implement ML algorithms in Finance. Sequence Modeling and Reinforcement Learning...
Overview of Advanced Methods of Reinforcement Learning in Finance
by Igor Halperin- 3.8
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Approx. 13 hours to complete
In the last course of our specialization, Overview of Advanced Methods of Reinforcement Learning in Finance, we will take a deeper look into topics discussed in our third course, Reinforcement Learning in Finance. Finally, we will overview trending and potential applications of Reinforcement Learning for high-frequency trading, cryptocurrencies, peer-to-peer lending, and more. Reinforcement Learning and Ptolemy's Epicycles...
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Deep Learning and Reinforcement Learning
by Mark J Grover , Miguel Maldonado- 4.7
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Approx. 14 hours to complete
This course introduces you to two of the most sought-after disciplines in Machine Learning: Deep Learning and Reinforcement Learning. This course targets aspiring data scientists interested in acquiring hands-on experience with Deep Learning and Reinforcement Learning. Deep Learning Applications and Reinforcement Learning Reinforcement Learning (RL) Reinforcement Learning Notebook - Part 1...
Introduction to Machine Learning
by Lawrence Carin , David Carlson , Timothy Dunn , Kevin Liang- 4.7
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Approx. 26 hours to complete
This course will provide you a foundational understanding of machine learning models (logistic regression, multilayer perceptrons, convolutional neural networks, natural language processing, etc. Introduction to Reinforcement Learning Introduction to Reinforcement Learning Reinforcement Learning Problem Setup Example of Reinforcement Learning in Practice Reinforcement Learning with PyTorch Limitations of Q Learning, and Introduction to Deep Q Learning...
Modern Reinforcement Learning: Deep Q Learning in PyTorch
by Phil Tabor- 4.6
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5.5 hours on-demand video
How to Turn Deep Reinforcement Learning Research Papers Into Agents That Beat Classic Atari Games In this complete deep reinforcement learning course you will learn a repeatable framework for reading and implementing deep reinforcement learning research papers. The introductory course in reinforcement learning will be taught in the context of solving the Frozen Lake environment from the Open AI Gym....
$15.99
