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    • Reinforcement Learning

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    86 results for "reinforcement learning"

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      Google Cloud

      Creating a Business Value with Data and Looker 日本語版

      Skills you'll gain: Data Visualization, Applied Machine Learning, Computer Networking, Databases, Machine Learning, Network Security, Reinforcement Learning, Security Engineering, Looker (Software)

      4.0

      (10 reviews)

      Intermediate · Specialization · 3-6 Months

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      Google Cloud

      Virtual Agent Development in Dialogflow CX for Citizen Devs

      Skills you'll gain: Applied Machine Learning, Machine Learning, Reinforcement Learning, Natural Language Processing, Software Architecture, Software Engineering, Theoretical Computer Science

      4.5

      (22 reviews)

      Intermediate · Course · 1-3 Months

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      Alfaisal University | KLD

      نماذج تقييم الأداء | Performance Management Models

      Skills you'll gain: Leadership and Management, Performance Management, Strategy and Operations, Accounting, Application Development, Applied Machine Learning, Entrepreneurship, FinTech, Finance, Front-End Web Development, Machine Learning, Planning, Reinforcement Learning, Software Architecture, Software Engineering, Supply Chain and Logistics, Theoretical Computer Science, Web Development, Advertising, Communication

      4.7

      (17 reviews)

      Beginner · Course · 1-4 Weeks

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      University of Cape Town

      Fintech Startups in Emerging Markets

      Skills you'll gain: Finance, Regulations and Compliance, FinTech, Banking, BlockChain, Entrepreneurship, Accounting, Business Analysis, Business Design, Cryptography, Data Analysis, Financial Analysis, Financial Management, Machine Learning, Research and Design, Risk Management, Security Engineering, Theoretical Computer Science, Advertising, Communication, Machine Learning Algorithms, Marketing, Reinforcement Learning, Software Architecture, Software Engineering

      4.6

      (182 reviews)

      Beginner · Specialization · 3-6 Months

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      University of Washington

      Machine Teaching for Autonomous AI

      Skills you'll gain: Entrepreneurship, Leadership and Management, Computer Networking, Decision Making, Deep Learning, Machine Learning, Marketing, Network Model, Reinforcement Learning, Sales, Strategy, Strategy and Operations, Business Psychology, Innovation

      4.7

      (21 reviews)

      Beginner · Course · 1-4 Weeks

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      University of Washington

      Designing Autonomous AI

      Skills you'll gain: Entrepreneurship, Leadership and Management, Marketing, Sales, Strategy, Strategy and Operations, Reinforcement Learning

      4.5

      (6 reviews)

      Beginner · Course · 1-4 Weeks

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      University of Colorado Boulder

      Introduction to Deep Learning

      Skills you'll gain: Deep Learning, Machine Learning, Artificial Neural Networks, Applied Machine Learning, Machine Learning Algorithms, Reinforcement Learning

      3.3

      (6 reviews)

      Intermediate · Course · 1-3 Months

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      Alberta Machine Intelligence Institute

      Introduction to Applied Machine Learning

      Skills you'll gain: Machine Learning, Applied Machine Learning, Machine Learning Algorithms, Reinforcement Learning

      4.7

      (707 reviews)

      Intermediate · Course · 1-4 Weeks

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      Google Cloud

      Recommendation Systems on Google Cloud

      Skills you'll gain: Probability & Statistics, Machine Learning, General Statistics, Business Psychology, Entrepreneurship, Cloud Computing, Google Cloud Platform, Reinforcement Learning, Applied Machine Learning, Tensorflow

      4.5

      (458 reviews)

      Advanced · Course · 1-3 Months

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      University of Cape Town

      How Entrepreneurs in Emerging Markets can master the Blockchain Technology

      Skills you'll gain: BlockChain, Finance, Cryptography, Machine Learning, Security Engineering, Theoretical Computer Science, Machine Learning Algorithms, Reinforcement Learning

      4.6

      (39 reviews)

      Beginner · Course · 1-4 Weeks

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      University of Washington

      Building Autonomous AI

      Skills you'll gain: Reinforcement Learning

      4.3

      (7 reviews)

      Intermediate · Course · 1-3 Months

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      Politecnico di Milano

      Machine Learning: an overview

      Skills you'll gain: Machine Learning, Machine Learning Algorithms, Reinforcement Learning

      4.5

      (22 reviews)

      Beginner · Course · 1-4 Weeks

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

    • Creating a Business Value with Data and Looker 日本語版: Google Cloud
    • Virtual Agent Development in Dialogflow CX for Citizen Devs: Google Cloud
    • نماذج تقييم الأداء | Performance Management Models: Alfaisal University | KLD
    • Fintech Startups in Emerging Markets: University of Cape Town
    • Machine Teaching for Autonomous AI: University of Washington
    • Designing Autonomous AI: University of Washington
    • Introduction to Deep Learning: University of Colorado Boulder
    • Introduction to Applied Machine Learning: Alberta Machine Intelligence Institute
    • Recommendation Systems on Google Cloud: Google Cloud
    • How Entrepreneurs in Emerging Markets can master the Blockchain Technology: University of Cape Town

    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)
    Reinforcement Learning (13)
    Algebra (10)
    Bayesian (10)
    Linear Algebra (10)
    Linear Regression (9)
    Numpy (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.‎

    • Because reinforcement learning itself isn't a beginner-level subject, you'll need to have a good grasp on the fundamentals of machine learning before starting to learn it. Additionally, many courses will require you to have a strong background in high-level mathematics such as linear algebra, statistics, and probability. Most courses will require you to be proficient in Python, although people familiar with other programming languages like C++, Matlab, and JavaScript can often use those skills to help them learn reinforcement learning. Having the ability to implement algorithms from pseudocode may be another prerequisite. As you progress, you'll gain skills in using reinforcement learning solutions to solve problems with probabilistic artificial intelligence, function approximation, and intelligent systems.‎

    • People best suited to roles within the reinforcement learning realm should have a passion for machine learning with a drive for analytics and data and an interest in providing frontline support to solve real-world problems while leveraging innate creative problem-solving skills. Additionally, many companies like to see that candidates have strong communication skills and the ability to collaborate across disciplines and departments. There are a variety of roles associated with reinforcement learning, including analysts, engineers, and researchers. In late February 2021, there were more than 1,800 job listings for people proficient in reinforcement learning on LinkedIn.‎

    • If you want to be a part of the future of machine learning, learning reinforcement learning may be a good move for you. This innovative machine learning technique creates an algorithm that learns through trial and error, leading to a combination of short- and long-term rewards such as the ability to define sequences to solve problems using a reward-based learning approach. It's useful across multiple industries, including the tech industry, business, advertising, finance, and e-commerce, all of which find reinforcement learning useful in part because of its ability to offer greater personalization. Ultimately, if you want to work within AI and machine learning, this could be a step to advancing your goals.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.
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