Search result for Reinforcement learning lectures 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. Benefits of Reinforcement Learning in Your Trading Strategy Neural Network Based Reinforcement Learning Understand the structure and techniques used in reinforcement learning (RL) strategies....
Machine Learning
by Michael Littman , Charles Isbell , Pushkar Kolhe- 0.0
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Approx. 4 months
You will learn about and practice a variety of Supervised, Unsupervised and Reinforcement Learning approaches. In this course, you'll learn how to apply Supervised, Unsupervised and Reinforcement Learning techniques for solving a range of data science problems....
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Deep Reinforcement Learning
by Alexis Cook , Arpan Chakraborty , Mat Leonard , Luis Serrano , Cezanne Camacho , Dana Sheahan , Chhavi Yadav , Juan Delgado , Miguel Morales- 0.0
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4 Months
The demand for engineers with reinforcement learning and deep learning skills far exceeds the number of engineers with these skills. Master the deep reinforcement learning skills that are powering amazing advances in AI. As such, it doesn't prepare you for a specific job, but instead expands your skills in the deep reinforcement learning domain....
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...
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. - Use reinforcement learning to solve classical problems of Finance such as portfolio optimization, optimal trading, and option pricing and risk management. Introduction to Markov Decision Processes and Reinforcement Learning in Finance...
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 Model-free reinforcement learning Supervised & Reinforcement Learning Combining supervised & reinforcement learning...
An Introduction to Practical Deep Learning
by Andres Rodriguez , Nikhil Murthy , Hanlin Tang- 4.3
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Approx. 17 hours to complete
You will explore important concepts in Deep Learning, train deep networks using Intel Nervana Neon, apply Deep Learning to various applications and explore new and emerging Deep Learning topics. Introduction to Deep Learning and Deep Learning Basics Introduction to Deep Learning Introduction to Deep Learning and Deep Learning Basics Exercise 8: Reinforcement Learning...
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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...
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. Deep Learning Applications and Reinforcement Learning Reinforcement Learning (RL) Reinforcement Learning Notebook - Part 1 Reinforcement Learning Notebook - Part 2 Reinforcement Learning Notebook - Part 3 Reinforcement Learning Notebook - Part 4...
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 is the first course of the Reinforcement Learning Specialization. Reinforcement Learning Textbook Read Me: Pre-requisites and Learning Objectives Jonathan Langford: Contextual Bandits for Real World Reinforcement Learning The Goal of Reinforcement Learning...
