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  • Fundamentals Of Reinforcement Learning

Results for "fundamentals of reinforcement learning"


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    Northwestern University

    Modern Robotics, Course 1: Foundations of Robot Motion

    Skills you'll gain: Engineering, Mechanics, Mathematical Modeling, Simulation and Simulation Software, Mechanical Engineering, Engineering Analysis, Matlab, Control Systems, Physics, Angular

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    U

    University of Washington

    Computational Neuroscience

    Skills you'll gain: Supervised Learning, Network Model, Matlab, Machine Learning Algorithms, Artificial Neural Networks, Computer Vision, Computer Science, Reinforcement Learning, Computational Thinking, Mathematical Modeling, Biology, Linear Algebra, Information Architecture, Differential Equations, Probability & Statistics

    4.6
    Rating, 4.6 out of 5 stars
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    1.1K reviews

    Beginner · Course · 1 - 3 Months

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    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
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    13 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
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    P

    Pearson

    Learning Deep Learning: Unit 2

    Skills you'll gain: PyTorch (Machine Learning Library), Tensorflow, Natural Language Processing, Image Analysis, Deep Learning, Computer Vision, Artificial Neural Networks, Machine Learning Methods, Time Series Analysis and Forecasting, Forecasting, Network Architecture

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    D

    DeepLearning.AI

    Unsupervised Learning, Recommenders, Reinforcement Learning

    Skills you'll gain: Unsupervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Data Ethics, Machine Learning, Supervised Learning, Artificial Intelligence, Reinforcement Learning, Deep Learning, Anomaly Detection, Dimensionality Reduction, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
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    5.3K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    B

    Board Infinity

    Fundamentals Of NgRx

    Skills you'll gain: Angular, Web Development Tools, JavaScript Frameworks, Development Environment, Data Management, TypeScript, Application Development, Application Performance Management, Debugging

    3.1
    Rating, 3.1 out of 5 stars
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    7 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    E

    Edge Impulse

    Introduction to Embedded Machine Learning

    Skills you'll gain: Applied Machine Learning, Embedded Systems, Data Processing, Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Deep Learning, Data Analysis, Feature Engineering, Computer Programming

    4.8
    Rating, 4.8 out of 5 stars
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    744 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Johns Hopkins University

    Foundations of Probability and Random Variables

    Skills you'll gain: R Programming, Statistical Analysis, Combinatorics, Data Analysis, Probability, Statistics, Probability Distribution, Probability & Statistics, Bayesian Statistics, Applied Mathematics, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Simulations

    Intermediate · Course · 1 - 3 Months

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    L

    LearnKartS

    Introduction to AI and Machine Learning

    Skills you'll gain: AWS SageMaker, Computer Vision, Applied Machine Learning, Natural Language Processing, Machine Learning, Data Wrangling, Reinforcement Learning, Artificial Intelligence

    4.3
    Rating, 4.3 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 4 Weeks

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    S

    Stanford University

    Fundamentals of Machine Learning for Healthcare

    Skills you'll gain: Healthcare Ethics, Data Ethics, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Responsible AI, Artificial Neural Networks, Healthcare Industry Knowledge, Medical Science and Research, Health Care, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Supervised Learning, Health Informatics, Deep Learning, Health Policy, Data Processing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    596 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    Edureka

    Machine Learning and NLP Basics

    Skills you'll gain: Tensorflow, Predictive Modeling, Machine Learning, Text Mining, Deep Learning, Natural Language Processing, Supervised Learning, Artificial Intelligence, Data Science, Data Processing, Computer Vision, Reinforcement Learning

    3.3
    Rating, 3.3 out of 5 stars
    ·
    31 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    D

    DeepLearning.AI

    Neural Networks and Deep Learning

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Supervised Learning, Artificial Intelligence, Computer Vision, Machine Learning, Python Programming, Linear Algebra, Calculus

    4.9
    Rating, 4.9 out of 5 stars
    ·
    124K reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Modern Robotics, Course 1: Foundations of Robot Motion: Northwestern University
  • Computational Neuroscience: University of Washington
  • Foundations of Machine Learning : Fractal Analytics
  • Learning Deep Learning: Unit 2: Pearson
  • Unsupervised Learning, Recommenders, Reinforcement Learning: DeepLearning.AI
  • Fundamentals Of NgRx: Board Infinity
  • Introduction to Embedded Machine Learning: Edge Impulse
  • Foundations of Probability and Random Variables: Johns Hopkins University
  • Introduction to AI and Machine Learning: LearnKartS
  • Fundamentals of Machine Learning for Healthcare: Stanford University

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