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  • Supervised Learning

Supervised Learning Courses

Supervised learning courses can help you learn regression analysis, classification techniques, and model evaluation methods. You can build skills in feature selection, hyperparameter tuning, and understanding bias-variance tradeoff. Many courses introduce tools like Python libraries such as scikit-learn and TensorFlow, that support implementing algorithms and analyzing data.


More to explore:

Popular Supervised Learning Courses and Certifications


  • P

    Packt

    Advanced Machine Learning and Deep Learning

    Skills you'll gain: Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Convolutional Neural Networks, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Tensorflow, Predictive Modeling, Dimensionality Reduction, Classification Algorithms, Time Series Analysis and Forecasting, Model Evaluation

    Advanced · Course · 1 - 3 Months

  • S

    Sungkyunkwan University

    Machine Learning Basics

    Skills you'll gain: Machine Learning, Python Programming, Supervised Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Logistic Regression, Applied Machine Learning, Regression Analysis, Classification Algorithms, Statistical Methods, Linear Algebra

    4.4
    Rating, 4.4 out of 5 stars
    ·
    92 reviews

    Mixed · Course · 1 - 4 Weeks

  • P

    Politecnico di Milano

    Designing Learning Innovation

    Skills you'll gain: Pedagogy, Digital pedagogy, Instructional Design, Educational Materials, Innovation, Learning Theory, Learning Strategies, Creativity, Planning, Problem Solving

    4.9
    Rating, 4.9 out of 5 stars
    ·
    880 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Commonwealth Education Trust

    Foundations of Teaching for Learning: Learners and Learning

    Skills you'll gain: Student Engagement, Teaching, Pedagogy, Classroom Management, Human Learning, Working With Children, Child Development, Learning Theory, Differentiated Instruction, Parent Communication, Cultural Diversity, Substance Abuse

    4.7
    Rating, 4.7 out of 5 stars
    ·
    304 reviews

    Mixed · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    Structuring Machine Learning Projects

    Skills you'll gain: Transfer Learning, Deep Learning, Applied Machine Learning, Machine Learning, MLOps (Machine Learning Operations), Debugging, AI Product Strategy, Model Evaluation, Data-Driven Decision-Making, Performance Tuning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    50K reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Illinois Urbana-Champaign

    Assessment for Learning

    Skills you'll gain: Data Mining, Education Software and Technology, Program Evaluation, Big Data, Analytics, Analysis, Data Ethics, Data Access, Natural Language Processing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    315 reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Pennsylvania

    Deep Learning Essentials

    Skills you'll gain: Data Preprocessing, PyTorch (Machine Learning Library), Deep Learning, Artificial Neural Networks, Machine Learning Algorithms, Supervised Learning, Machine Learning, Artificial Intelligence

    4.9
    Rating, 4.9 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 4 Weeks

  • W

    Whizlabs

    Fundamentals of Deep Learning

    Skills you'll gain: Deep Learning, Convolutional Neural Networks, Image Analysis, Transfer Learning, Artificial Neural Networks, Model Evaluation, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods

    Intermediate · Course · 1 - 4 Weeks

  • S

    Sungkyunkwan University

    Machine Learning Algorithms

    Skills you'll gain: Machine Learning Algorithms, Decision Tree Learning, Classification Algorithms, Unsupervised Learning, Machine Learning, Supervised Learning, Python Programming, Algorithms, Bayesian Statistics, Probability & Statistics

    3.7
    Rating, 3.7 out of 5 stars
    ·
    9 reviews

    Mixed · Course · 1 - 4 Weeks

  • U

    University of Alberta

    Sample-based Learning Methods

    Skills you'll gain: Reinforcement Learning, Sampling (Statistics), Machine Learning Algorithms, Simulations, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Algorithms, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.3K reviews

    Intermediate · Course · 1 - 3 Months

  • H

    High Tech High Graduate School of Education

    Learning Mindsets & Skills

    Skills you'll gain: Education and Training, Teaching, Growth Mindedness, Learning Theory, Human Learning, Student Engagement, Cultural Diversity, Experimentation, Statistical Hypothesis Testing, Psychological Evaluations, Discussion Facilitation

    3.9
    Rating, 3.9 out of 5 stars
    ·
    58 reviews

    Mixed · Course · 1 - 4 Weeks

  • A

    AI CERTs

    AI for Learning & Development 

    Skills you'll gain: Responsible AI, AI Personalization, Training and Development, Instructional Design, AI Enablement, Employee Training, Generative AI Agents, Training Programs, Learning Management Systems, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Workforce Development, Learning Styles, Learning Theory, Learning Strategies, Human Learning, Childhood Education and Development, Real Time Data

    Beginner · Course · 1 - 3 Months

1…171819…594

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

  • Advanced Machine Learning and Deep Learning: Packt
  • Machine Learning Basics: Sungkyunkwan University
  • Designing Learning Innovation: Politecnico di Milano
  • Foundations of Teaching for Learning: Learners and Learning: Commonwealth Education Trust
  • Structuring Machine Learning Projects: DeepLearning.AI
  • Assessment for Learning: University of Illinois Urbana-Champaign
  • Deep Learning Essentials: University of Pennsylvania
  • Fundamentals of Deep Learning: Whizlabs
  • Machine Learning Algorithms: Sungkyunkwan University
  • Sample-based Learning Methods: University of Alberta

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