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Showing 69 total results for "reinforcement learning"

  • Reinforcement Learning by University of Alberta, Alberta Machine Intelligence Institute
    Reinforcement Learning
    University of Alberta
    SPECIALIZATION
    Filled StarFilled StarFilled StarFilled StarHalf Filled Star
    Rated 4.7 out of five stars. 2201 reviews
    4.7(2,201)
    48k students
    Intermediate LevelIntermediate
  • Fundamentals of Reinforcement Learning by University of Alberta, Alberta Machine Intelligence Institute
    Fundamentals of Reinforcement Learning
    University of Alberta
    COURSE
    Filled StarFilled StarFilled StarFilled StarFilled Star
    Rated 4.8 out of five stars. 1833 reviews
    4.8(1,833)
    46k students
    Intermediate LevelIntermediate
  • Deep Learning by DeepLearning.AI
    Deep Learning
    DeepLearning.AI
    SPECIALIZATION
    Filled StarFilled StarFilled StarFilled StarFilled Star
    Rated 4.8 out of five stars. 119081 reviews
    4.8(119,081)
    1m students
    Intermediate LevelIntermediate
  • Machine Learning and Reinforcement Learning in Finance by New York University
    Machine Learning and Reinforcement Learning in Finance
    New York University
    SPECIALIZATION
    Filled StarFilled StarFilled StarHalf Filled StarStar
    Rated 3.7 out of five stars. 674 reviews
    3.7(674)
    35k students
    Intermediate LevelIntermediate
  • Introduction to Reinforcement Learning in Python by Coursera Project Network
    Introduction to Reinforcement Learning in Python
    Coursera Project Network

    NEW

    GUIDED PROJECT
    Filled StarFilled StarFilled StarHalf Filled StarStar
    Rated 3.7 out of five stars. 46 reviews
    3.7(46)
    2.3k students
    Intermediate LevelIntermediate
  • Deep Learning with PyTorch : Build an AutoEncoder
    Coursera Project Network

    NEW

    GUIDED PROJECT
    Beginner LevelBeginner
  • Practical Reinforcement Learning
    HSE University
    COURSE
    Filled StarFilled StarFilled StarFilled StarStar
    Rated 4.2 out of five stars. 414 reviews
    4.2(414)
    41k students
    Advanced LevelAdvanced
  • Machine Learning for Trading
    Google Cloud
    SPECIALIZATION
    Filled StarFilled StarFilled StarFilled StarStar
    Rated 3.9 out of five stars. 761 reviews
    3.9(761)
    28k students
    Intermediate LevelIntermediate
  • Advanced Machine Learning
    HSE University
    SPECIALIZATION
    Filled StarFilled StarFilled StarFilled StarHalf Filled Star
    Rated 4.4 out of five stars. 3732 reviews
    4.4(3,732)
    310k students
    Advanced LevelAdvanced
  • Deep Learning and Reinforcement Learning
    IBM
    COURSE
    Filled StarFilled StarFilled StarFilled StarFilled Star
    Rated 4.8 out of five stars. 18 reviews
    4.8(18)
    2.2k students
    Intermediate LevelIntermediate
  • Self-Driving Cars
    University of Toronto
    SPECIALIZATION
    Filled StarFilled StarFilled StarFilled StarHalf Filled Star
    Rated 4.7 out of five stars. 2396 reviews
    4.7(2,396)
    110k students
    Advanced LevelAdvanced
  • IBM Machine Learning
    IBM
    PROFESSIONAL CERTIFICATE
    Filled StarFilled StarFilled StarFilled StarHalf Filled Star
    Rated 4.6 out of five stars. 250 reviews
    4.6(250)
    13k students
    Intermediate LevelIntermediate
  • Machine Learning Rock Star – the End-to-End Practice
    SAS
    SPECIALIZATION
    Filled StarFilled StarFilled StarFilled StarFilled Star
    Rated 4.8 out of five stars. 125 reviews
    4.8(125)
    8.9k students
    Beginner LevelBeginner
  • Reinforcement Learning for Trading Strategies
    Google Cloud
    COURSE
    Filled StarFilled StarFilled StarHalf Filled StarStar
    Rated 3.6 out of five stars. 149 reviews
    3.6(149)
    7.7k students
    Intermediate LevelIntermediate
  • Reinforcement Learning in Finance
    New York University
    COURSE
    Filled StarFilled StarFilled StarHalf Filled StarStar
    Rated 3.5 out of five stars. 103 reviews
    3.5(103)
    14k students
    Advanced LevelAdvanced
  • Using Machine Learning in Trading and Finance
    Google Cloud
    COURSE
    Filled StarFilled StarFilled StarFilled StarStar
    Rated 4 out of five stars. 245 reviews
    4(245)
    11k students
    Intermediate LevelIntermediate
  • Overview of Advanced Methods of Reinforcement Learning in Finance
    New York University
    COURSE
    Filled StarFilled StarFilled StarFilled StarStar
    Rated 3.8 out of five stars. 66 reviews
    3.8(66)
    7.6k students
    Advanced LevelAdvanced
  • A Complete Reinforcement Learning System (Capstone)
    University of Alberta
    COURSE
    Filled StarFilled StarFilled StarFilled StarHalf Filled Star
    Rated 4.7 out of five stars. 445 reviews
    4.7(445)
    11k students
    Intermediate LevelIntermediate
  • Tensorflow Neural Networks using Deep Q-Learning Techniques
    Coursera Project Network

    NEW

    GUIDED PROJECT
    Filled StarFilled StarFilled StarStarStar
    Rated 3 out of five stars. 9 reviews
    3(9)
    Advanced LevelAdvanced
  • Supervised Learning: Regression
    IBM
    COURSE
    Filled StarFilled StarFilled StarFilled StarFilled Star
    Rated 4.8 out of five stars. 63 reviews
    4.8(63)
    3.1k students
    Intermediate LevelIntermediate

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In summary, here are 10 of our most popular reinforcement learning courses

  • Reinforcement Learning: University of Alberta
  • Fundamentals of Reinforcement Learning: University of Alberta
  • Deep Learning: DeepLearning.AI
  • Machine Learning and Reinforcement Learning in Finance: New York University
  • Introduction to Reinforcement Learning in Python: Coursera Project Network
  • Deep Learning with PyTorch : Build an AutoEncoder: Coursera Project Network
  • Practical Reinforcement Learning: HSE University
  • Machine Learning for Trading: Google Cloud
  • Advanced Machine Learning: HSE University
  • Deep Learning and Reinforcement Learning: IBM

Skills you can learn in Machine Learning

Python Programming (33)
Tensorflow (32)
Deep Learning (30)
Artificial Neural Network (24)
Big Data (18)
Statistical Classification (17)
Algebra (10)
Bayesian (10)
Linear Algebra (10)
Linear Regression (9)
Numpy (9)
Recommender Systems (9)

Frequently Asked Questions about Reinforcement Learning

  • Reinforcement learning is a machine learning paradigm in which software agents use a process of trial and error to learn how to complete tasks in a way that maximizes cumulative rewards as defined by their programmers. In contrast to supervised learning paradigms, reinforcement learning systems do not need labeled input/output pairs or explicit corrections of suboptimal actions; and, in contrast to unsupervised learning, reinforcement learning defines an explicit goal, which is the maximization of the value returned by the Q-learning (or “quality” learning) algorithm as a result of its actions.

    Because it combines the goal orientation of supervised learning with the flexibility of unsupervised learning, reinforcement learning is very important in creating artificial intelligence (AI) applications requiring successful problem-solving in complex situations. For example, they are often used in financial engineering to develop optimal trading algorithms for the stock market. They are also used to build intelligent systems to allow robots and self-driving cars to navigate real-world environments safely.

  • As one of the main paradigms for machine learning, reinforcement learning is an essential skill for careers in this fast-growing field. Reinforcement learning is particularly important for developing artificially intelligent digital agents for real-world problem-solving in industries like finance, automotive, robotics, logistics, and smart assistants. According to Glassdoor, the average annual salary for machine learning engineers in America is $114,121 per year, a high level of pay which reflects the high level of demand for this expertise.

  • Absolutely. Coursera hosts a wide variety of courses in reinforcement learning and related topics in machine learning, as well as the use of these techniques in applied contexts such as finance and self-driving cars. These courses and Specializations are offered by top-ranked institutions in this field, including the deepmind.ai, New York University, the University of Toronto, and the University of Alberta’s Machine Intelligence Institute. You can learn remotely on a flexible schedule while still getting feedback from expert professors and instructors, ensuring that you’ll get a high quality education with all the reinforcement you need to learn these valuable skills with confidence.

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