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    Results for "learning theory"

    • P

      Politecnico di Milano

      Designing Learning Innovation

      Skills you'll gain: Pedagogy, Course Development, Instructional and Curriculum Design, Instructional Strategies, Student Engagement, Educational Materials, Innovation, Student-Centred Learning, Curriculum Planning, Learning Theory, Open Source Technology, Learning Strategies

      4.9
      Rating, 4.9 out of 5 stars
      ·
      807 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Machine Learning: Theory and Hands-on Practice with Python

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Deep Learning, Machine Learning Algorithms, Dimensionality Reduction, Applied Machine Learning, Decision Tree Learning, Scikit Learn (Machine Learning Library), Matplotlib, Random Forest Algorithm, Machine Learning, Predictive Modeling, PyTorch (Machine Learning Library), Keras (Neural Network Library), Artificial Neural Networks, Python Programming, Classification And Regression Tree (CART), Data Science, Tensorflow, Mathematical Modeling

      Build toward a degree

      3.5
      Rating, 3.5 out of 5 stars
      ·
      118 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Preview
      Preview
      N

      National Taiwan University

      人工智慧:機器學習與理論基礎 (Artificial Intelligence - Learning & Theory)

      Skills you'll gain: Reinforcement Learning, Deep Learning, Theoretical Computer Science, Artificial Neural Networks, Artificial Intelligence, Machine Learning Algorithms, Machine Learning, Supervised Learning, Statistical Machine Learning, Computer Science, Decision Tree Learning, Unsupervised Learning, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      61 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D
      S

      Multiple educators

      Machine Learning

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

      4.9
      Rating, 4.9 out of 5 stars
      ·
      36K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Cambridge

      Learning and memory in the brain: a guide for teachers

      Skills you'll gain: Childhood Education and Development, Human Learning, Child Development, Teaching, Learning Theory, Instructional Strategies, Pedagogy, Learning Strategies, Disabilities, Autism Spectrum Disorders, Special Education, Human Development, Differentiated Instruction, Neurology, Diversity Awareness, Psychology

      5
      Rating, 5 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Preview
      Preview
      N

      Northeastern University

      Statistical Learning for Engineering Part 1

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Statistical Programming, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Probability & Statistics, Dimensionality Reduction

      Intermediate · Course · 1 - 3 Months

    What brings you to Coursera today?

    • Status: New
      New
      P

      Politecnico di Milano

      Learning with AI

      Skills you'll gain: Large Language Modeling, Learning Strategies, AI Personalization, Lifelong Learning, Human Learning, Adult Learning Principles, Willingness To Learn, Artificial Intelligence, Student-Centred Learning, Generative AI, Critical Thinking, Problem Solving, Infographics

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Alberta

      Reinforcement Learning

      Skills you'll gain: Reinforcement Learning, Machine Learning, Sampling (Statistics), Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Simulations, Solution Architecture, Artificial Intelligence and Machine Learning (AI/ML), Markov Model, Supervised Learning, Algorithms, Artificial Neural Networks, Performance Testing, Pseudocode, Linear Algebra, Probability Distribution, Debugging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.5K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Mathematics for Machine Learning

      Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Probability & Statistics, Feature Engineering, Jupyter, Data Science, Advanced Mathematics, Statistics, Machine Learning Algorithms, Statistical Analysis, Artificial Neural Networks, Algorithms, Python Programming, Machine Learning, Derivatives

      4.6
      Rating, 4.6 out of 5 stars
      ·
      15K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Preview
      Preview
      N

      Northeastern University

      Statistical Learning for Engineering Part 2

      Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning Methods, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification And Regression Tree (CART), Decision Tree Learning, Generative AI, Random Forest Algorithm, Predictive Modeling, Feature Engineering

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Preview
      Preview
      S

      Simplilearn

      Fundamental of Reinforcement Training

      Skills you'll gain: Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Applied Machine Learning, Machine Learning, Supervised Learning, Unsupervised Learning, Markov Model

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Pittsburgh

      Probability Theory and Regression for Predictive Analytics

      Skills you'll gain: Probability Distribution, Data Science, Probability & Statistics, Predictive Analytics, Probability, Statistical Modeling, Data Analysis, Regression Analysis, Statistical Analysis, Statistical Methods, Statistical Machine Learning, Bayesian Statistics, Statistical Inference, Feature Engineering, Applied Mathematics, Python Programming, Machine Learning, Algorithms

      Build toward a degree

      Beginner · Course · 1 - 4 Weeks

    Searches related to learning theory

    machine learning: theory and hands-on practice with python
    人工智慧:機器學習與理論基礎 (artificial intelligence - learning & theory)
    1234…546

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

    • Designing Learning Innovation: Politecnico di Milano
    • Machine Learning: Theory and Hands-on Practice with Python: University of Colorado Boulder
    • 人工智慧:機器學習與理論基礎 (Artificial Intelligence - Learning & Theory): National Taiwan University
    • Machine Learning: DeepLearning.AI
    • Learning and memory in the brain: a guide for teachers: University of Cambridge
    • Statistical Learning for Engineering Part 1: Northeastern University
    • Learning with AI: Politecnico di Milano
    • Reinforcement Learning: University of Alberta
    • Mathematics for Machine Learning: Imperial College London
    • Statistical Learning for Engineering Part 2: Northeastern University

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