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  • Practical Reinforcement Learning

Results for "practical reinforcement learning"


  • Status: Free Trial
    Free Trial
    S

    SAS

    Machine Learning Rock Star – the End-to-End Practice

    Skills you'll gain: Predictive Modeling, Responsible AI, Predictive Analytics, Machine Learning, Data Ethics, MLOps (Machine Learning Operations), Applied Machine Learning, Data-Driven Decision-Making, Statistical Modeling, Performance Measurement, Supervised Learning, Business Ethics, Decision Tree Learning, Artificial Intelligence and Machine Learning (AI/ML), Leadership and Management, Business Analytics, Data Science, Machine Learning Algorithms, Artificial Intelligence, Data Processing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    189 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    A

    AI Business School

    Practical AI and prompting for management professionals

    Skills you'll gain: Prompt Engineering, Generative AI, Sales, Sales Enablement, AI Personalization, Sales Management, AI Product Strategy, Large Language Modeling, ChatGPT, Management Training And Development, Workflow Management, Artificial Intelligence, Ideation, Application Design, Innovation, Business Transformation, Content Creation, Key Management

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    F

    Fractal Analytics

    Foundations of Machine Learning

    Skills you'll gain: Applied Machine Learning, Machine Learning, Supervised Learning, Regression Analysis, Decision Tree Learning, Machine Learning Algorithms, Feature Engineering, Unsupervised Learning, Application Deployment, Predictive Modeling, Statistical Modeling, Data Processing, Anomaly Detection, Data Manipulation, Data Cleansing, Exploratory Data Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    13 reviews

    Beginner · Course · 1 - 3 Months

  • G

    Google Cloud

    Reinforcement Learning: Qwik Start

    Skills you'll gain: Reinforcement Learning, Google Cloud Platform, GitHub, Tensorflow, Machine Learning, Jupyter, Game Design

    3.7
    Rating, 3.7 out of 5 stars
    ·
    10 reviews

    Beginner · Project · Less Than 2 Hours

  • Status: Preview
    Preview
    I

    Intel

    An Introduction to Practical Deep Learning

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Computer Vision, Machine Learning Methods, Generative AI, Natural Language Processing, Scalability, Reinforcement Learning, Network Architecture, Performance Tuning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    150 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Practical Methodology and Ethics in AI

    Skills you'll gain: Responsible AI, Data Ethics, Deep Learning, Debugging, Artificial Intelligence, Machine Learning, Bayesian Statistics, Applied Machine Learning, Artificial Neural Networks, Data-Driven Decision-Making, Information Privacy, Case Studies

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Recommender Systems: An Applied Approach using Deep Learning

    Skills you'll gain: Deep Learning, Data Processing, Data Manipulation, Applied Machine Learning, Predictive Modeling, Machine Learning, Artificial Neural Networks, Data Visualization Software, Pandas (Python Package), System Design and Implementation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Neural Network Techniques

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Unsupervised Learning, Machine Learning Methods, Data Ethics, Artificial Intelligence, Markov Model, Natural Language Processing

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    K

    Korea Advanced Institute of Science and Technology(KAIST)

    Practical Python for AI Coding 1

    Skills you'll gain: NumPy, Python Programming, Artificial Intelligence, Programming Principles, Tensorflow, Data Structures, Development Environment, Keras (Neural Network Library), Computer Programming Tools, Object Oriented Programming (OOP), Data Manipulation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    87 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D
    S

    Multiple educators

    Machine Learning

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning, Jupyter, Data Ethics, Decision Tree Learning, Tensorflow, Responsible AI, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Python Programming

    4.9
    Rating, 4.9 out of 5 stars
    ·
    37K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    B

    Board Infinity

    Real-World Applications & Model Deployment in Java

    Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Jenkins, Applied Machine Learning, CI/CD, Java, Continuous Deployment, Java Programming, Artificial Intelligence, Machine Learning, Spring Framework, Application Deployment, Reinforcement Learning, Spring Boot, Enterprise Application Management, Continuous Monitoring, Enterprise Architecture

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Deep Learning with PyTorch

    Skills you'll gain: Network Architecture

    Intermediate · Course · 1 - 4 Weeks

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

  • Machine Learning Rock Star – the End-to-End Practice: SAS
  • Practical AI and prompting for management professionals: AI Business School
  • Foundations of Machine Learning : Fractal Analytics
  • Reinforcement Learning: Qwik Start: Google Cloud
  • An Introduction to Practical Deep Learning: Intel
  • Practical Methodology and Ethics in AI: Johns Hopkins University
  • Recommender Systems: An Applied Approach using Deep Learning: Packt
  • Advanced Neural Network Techniques: Johns Hopkins University
  • Practical Python for AI Coding 1: Korea Advanced Institute of Science and Technology(KAIST)
  • Machine Learning: DeepLearning.AI

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