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  • Deep Reinforcement Learning

Deep Reinforcement Learning Courses

Deep Reinforcement Learning courses can help you learn the principles of reinforcement learning, neural networks, and policy gradients. You can build skills in algorithm design, reward optimization, and environment simulation. Many courses introduce tools like TensorFlow and PyTorch, that support implementing AI models, along with techniques for training agents in complex environments.


Popular Deep Reinforcement Learning Courses and Certifications


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    Google Cloud

    BigQuery Machine Learning für Inferenzen nutzen

    Skills you'll gain: Big Data, Analytics, Data Analysis, Applied Machine Learning, Data-Driven Decision-Making, Google Cloud Platform, Machine Learning

    Beginner · Course · 1 - 4 Weeks

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    EDUCBA

    Octave for Machine Learning: Analyze & Visualize

    Skills you'll gain: Text Mining, Statistical Analysis, Data Visualization, Descriptive Statistics, Data Analysis, Computer Programming, Mathematical Software, Data Preprocessing, Data Manipulation, Linear Algebra, Software Installation

    Mixed · Course · 1 - 4 Weeks

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    Coursera

    Machine Learning with PySpark: Customer Churn Analysis

    Skills you'll gain: Model Evaluation, Data Preprocessing, Exploratory Data Analysis, Feature Engineering, Model Deployment, Data Analysis, PySpark, Data Import/Export, Data Transformation, Apache Spark, Decision Tree Learning, Customer Analysis, Predictive Modeling, Predictive Analytics, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
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    25 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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    Coursera

    Medical Insurance Premium Prediction with Machine Learning

    Skills you'll gain: Data Visualization, Keras (Neural Network Library), Data Preprocessing, Artificial Neural Networks, Interactive Data Visualization, Predictive Modeling, Tensorflow, Applied Machine Learning, Feature Engineering, Data Science, Predictive Analytics, Data Manipulation, Machine Learning, Model Evaluation, Regression Analysis, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
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    26 reviews

    Beginner · Guided Project · Less Than 2 Hours

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    Johns Hopkins University

    Foundations for Active Learning in STEM Courses

    Skills you'll gain: Cooperation, Interactive Learning, Education Software and Technology, Student Engagement, Pedagogy, Education and Training, Team Oriented, Instructional Strategies, Learning Theory, Collaboration, Student-Centred Learning, Teamwork, Blended Learning, Drive Engagement, Classroom Management, Mathematics Education, Digital pedagogy, Learning Management Systems, Creative Problem-Solving, Professional Development

    5
    Rating, 5 out of 5 stars
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    10 reviews

    Beginner · Course · 1 - 3 Months

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    University of Michigan

    Introduction to Machine Learning in Sports Analytics

    Skills you'll gain: Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Model Evaluation, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Machine Learning Algorithms, Predictive Modeling, Analytics, Decision Tree Learning, Machine Learning, Logistic Regression, Data Analysis, Classification Algorithms, Data Preprocessing, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
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    27 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Machine Learning – Modern Computer Vision & Generative AI

    Skills you'll gain: Test Driven Development (TDD), Image Analysis, Computer Vision, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Convolutional Neural Networks, Deep Learning, Keras (Neural Network Library), Tensorflow, Python Programming, Data Preprocessing, Development Environment, Jupyter, NumPy

    Intermediate · Course · 1 - 3 Months

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    Cleveland Clinic

    Computer Vision and Sequence Analysis in Machine Learning

    Skills you'll gain: Convolutional Neural Networks, Transfer Learning, Healthcare 5.0, Predictive Modeling, Applied Machine Learning, Biomedical Engineering, Model Evaluation, Health Informatics, Data Structures

    Intermediate · Course · 1 - 4 Weeks

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    Whizlabs

    Machine Learning Implementation and Operations in AWS

    Skills you'll gain: MLOps (Machine Learning Operations), AWS SageMaker, Amazon Web Services, Model Deployment, Scalability, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Technical Design, Amazon Elastic Compute Cloud, Cloud Security, Data Management, Disaster Recovery, Continuous Monitoring

    4.3
    Rating, 4.3 out of 5 stars
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    7 reviews

    Beginner · Course · 1 - 4 Weeks

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    SAS

    Statistics You Need to Know for Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Logistic Regression, Supervised Learning, Applied Machine Learning, Model Evaluation, Data Modeling

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Universidad de los Andes

    Algoritmos de negociación basados en machine learning​

    Skills you'll gain: Technical Analysis, Financial Trading, Financial Market, Performance Measurement, Capital Markets, Investment Management, Investments, Market Data, Statistical Machine Learning, Financial Analysis, Model Evaluation, Machine Learning, Classification Algorithms, Trend Analysis

    4.8
    Rating, 4.8 out of 5 stars
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    38 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Google Cloud

    Machine Learning in the Enterprise - 한국어

    Skills you'll gain: MLOps (Machine Learning Operations), Data Preprocessing, Model Deployment, Data Management, Data Governance, AI Workflows, Google Cloud Platform, Tensorflow, Data Pipelines, Model Evaluation, Predictive Modeling, Machine Learning, Cloud Deployment, Containerization, Performance Tuning

    Intermediate · Course · 1 - 3 Months

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

  • BigQuery Machine Learning für Inferenzen nutzen: Google Cloud
  • Octave for Machine Learning: Analyze & Visualize: EDUCBA
  • Machine Learning with PySpark: Customer Churn Analysis: Coursera
  • Medical Insurance Premium Prediction with Machine Learning: Coursera
  • Foundations for Active Learning in STEM Courses: Johns Hopkins University
  • Introduction to Machine Learning in Sports Analytics: University of Michigan
  • Machine Learning – Modern Computer Vision & Generative AI: Packt
  • Computer Vision and Sequence Analysis in Machine Learning: Cleveland Clinic
  • Machine Learning Implementation and Operations in AWS: Whizlabs
  • Statistics You Need to Know for Machine Learning: SAS

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