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    Results for "learning theory"

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

      Pearson

      Learning Deep Learning

      Skills you'll gain: Large Language Modeling, Deep Learning, Prompt Engineering, Image Analysis, PyTorch (Machine Learning Library), Tensorflow, Computer Vision, Natural Language Processing, Artificial Neural Networks, Data Ethics, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Application Deployment, Time Series Analysis and Forecasting, Machine Learning, Performance Tuning, Python Programming, Algorithms, Network Architecture

      Intermediate · Specialization · 1 - 4 Weeks

    • 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
      ·
      809 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, Predictive Modeling, PyTorch (Machine Learning Library), Keras (Neural Network Library), Artificial Neural Networks, Python Programming, Classification And Regression Tree (CART), Tensorflow, Mathematical Modeling, Machine Learning, Data Science

      Build toward a degree

      3.5
      Rating, 3.5 out of 5 stars
      ·
      118 reviews

      Intermediate · Specialization · 3 - 6 Months

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

      Pearson

      Learning Deep Learning: Unit 2

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

      Intermediate · Course · 1 - 4 Weeks

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

      Coursera

      Foundations of Machine Learning

      Skills you'll gain: Supervised Learning, Unsupervised Learning, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Feature Engineering, Dimensionality Reduction, Machine Learning, Predictive Modeling, Predictive Analytics, Scikit Learn (Machine Learning Library), Forecasting, Data Processing, Anomaly Detection, Regression Analysis, Statistical Modeling, Data Transformation, Data Cleansing

      Intermediate · Course · 1 - 4 Weeks

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

      Pearson

      Learning Deep Learning: Unit 3

      Skills you'll gain: Large Language Modeling, Prompt Engineering, Image Analysis, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Computer Vision, Data Ethics, Natural Language Processing, Artificial Neural Networks, Artificial Intelligence, Application Deployment, Performance Tuning

      Intermediate · Course · 1 - 4 Weeks

    What brings you to Coursera today?

    • 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: 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: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Foundations of Neural Networks

      Skills you'll gain: Data Ethics, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Reinforcement Learning, Generative AI, Debugging, Artificial Intelligence, Unsupervised Learning, Machine Learning, Computer Vision, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Ethical Standards And Conduct, Applied Machine Learning, Unstructured Data, Linear Algebra, Markov Model, Data-Driven Decision-Making, Natural Language Processing

      Intermediate · Specialization · 3 - 6 Months

    • 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
      ·
      3.6K reviews

      Intermediate · Specialization · 3 - 6 Months

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

      Pearson

      Learning Deep Learning: Unit 1

      Skills you'll gain: Deep Learning, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Large Language Modeling, Machine Learning, Python Programming, Algorithms, Network Architecture, Linear Algebra, Regression Analysis

      Intermediate · 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…555

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

    • Learning Deep Learning: Pearson
    • Designing Learning Innovation: Politecnico di Milano
    • Machine Learning: Theory and Hands-on Practice with Python: University of Colorado Boulder
    • Learning Deep Learning: Unit 2: Pearson
    • Foundations of Machine Learning: Coursera
    • Learning Deep Learning: Unit 3: Pearson
    • Mathematics for Machine Learning: Imperial College London
    • 人工智慧:機器學習與理論基礎 (Artificial Intelligence - Learning & Theory): National Taiwan University
    • Machine Learning: DeepLearning.AI
    • Foundations of Neural Networks: Johns Hopkins University

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