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  • Reinforcement Learning

Results for "reinforcement+learning"


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    I

    Imperial College London

    Mathematics for Machine Learning: Multivariate Calculus

    Skills you'll gain: Regression Analysis, Calculus, Machine Learning Methods, Advanced Mathematics, Statistical Analysis, Linear Algebra, Artificial Neural Networks, Mathematical Modeling, Python Programming, Derivatives

    4.7
    Rating, 4.7 out of 5 stars
    ·
    5.8K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    D

    DeepLearning.AI

    Generative Deep Learning with TensorFlow

    Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Generative AI, Tensorflow, Generative Model Architectures, Image Analysis, Transfer Learning, Deep Learning, Convolutional Neural Networks, Artificial Neural Networks

    4.9
    Rating, 4.9 out of 5 stars
    ·
    312 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    AI for Autonomous Vehicles and Robotics

    Skills you'll gain: Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Transfer Learning, Control Systems, Robotics, Deep Learning, Computer Vision, Artificial Intelligence, Generative AI, Reinforcement Learning, Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    49 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    D

    DeepLearning.AI

    Device-based Models with TensorFlow Lite

    Skills you'll gain: Model Deployment, iOS Development, Android Development, Tensorflow, Swift Programming, Mobile Development, Applied Machine Learning, Embedded Systems, Computer Vision, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    653 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

    Skills you'll gain: Tensorflow, Deep Learning, Performance Tuning, Machine Learning Methods, Data Preprocessing, Artificial Neural Networks, Model Evaluation, Verification And Validation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    63K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Prediction and Control with Function Approximation

    Skills you'll gain: Reinforcement Learning, Deep Learning, Feature Engineering, Machine Learning Algorithms, Machine Learning, Supervised Learning, Artificial Neural Networks, Pseudocode, Linear Algebra, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    845 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    J

    Johns Hopkins University

    Training AI with Humans

    Skills you'll gain: Machine Learning, Applied Machine Learning, Research, Model Evaluation, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Research Design, Data Collection, Surveys, Human Factors, Classification Algorithms, Experimentation, Data Quality, Statistical Analysis

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    Universidades Anáhuac

    Deep Learning: Del Concepto a la Práctica

    Skills you'll gain: Artificial Neural Networks, Keras (Neural Network Library), Deep Learning, Applied Machine Learning, Tensorflow, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Image Analysis, Computer Vision, Model Evaluation, Python Programming

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    M

    Microsoft

    AI and Machine Learning Algorithms and Techniques

    Skills you'll gain: Unsupervised Learning, Generative AI, Large Language Modeling, Supervised Learning, Deep Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Predictive Modeling, Machine Learning Algorithms, Artificial Neural Networks, Feature Engineering, Unstructured Data, Model Evaluation, Convolutional Neural Networks, Data Preprocessing, Dimensionality Reduction, Model Deployment

    4.7
    Rating, 4.7 out of 5 stars
    ·
    56 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Learning Deep Learning: Unit 2

    Skills you'll gain: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Tensorflow, Transfer Learning, Natural Language Processing, Embeddings, Image Analysis, Deep Learning, Computer Vision, Time Series Analysis and Forecasting

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Simplilearn

    Attention Mechanisms and Transformer Models Course

    Skills you'll gain: Generative Model Architectures, Generative AI, OpenAI, Large Language Modeling, ChatGPT, Vision Transformer (ViT), Artificial Neural Networks, Transfer Learning, Deep Learning, Natural Language Processing

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    U

    Università di Napoli Federico II

    Teaching with AI: tools

    Skills you'll gain: Responsible AI, Digital pedagogy, LLM Application

    5
    Rating, 5 out of 5 stars
    ·
    10 reviews

    Beginner · Course · 1 - 4 Weeks

1…456…9

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

  • Mathematics for Machine Learning: Multivariate Calculus: Imperial College London
  • Generative Deep Learning with TensorFlow: DeepLearning.AI
  • AI for Autonomous Vehicles and Robotics: University of Michigan
  • Device-based Models with TensorFlow Lite: DeepLearning.AI
  • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization: DeepLearning.AI
  • Prediction and Control with Function Approximation: University of Alberta
  • Training AI with Humans: Johns Hopkins University
  • Deep Learning: Del Concepto a la Práctica: Universidades Anáhuac
  • AI and Machine Learning Algorithms and Techniques: Microsoft
  • Learning Deep Learning: Unit 2: Pearson

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