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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.

Popular Supervised Learning Courses and Certifications


  • P

    Packt

    Curiosity and Lifelong Learning

    Skills you'll gain: Lifelong Learning, Curiosity, Willingness To Learn, Education Software and Technology, Adaptability, Growth Mindedness, Open Mindset, Professional Development, Constructive Feedback, Interactive Learning, Mental Concentration, Personal Development, Teaching, Self-Motivation, Psychology, Learning Strategies

    Beginner · Course · 1 - 3 Months

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

    Coursera

    Deep Learning and Modern AI Architectures

    Skills you'll gain: Fine-tuning, Generative Model Architectures, Deep Learning, Autoencoders, Generative AI, Model Optimization, Artificial Neural Networks, Generative Adversarial Networks (GANs), Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Network Architecture, Model Evaluation, Anomaly Detection, Computer Vision, Predictive Modeling

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    AWS: Machine Learning & MLOps Foundations

    Skills you'll gain: MLOps (Machine Learning Operations), Data Preprocessing, AWS SageMaker, Model Evaluation, Model Deployment, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Model Training, Predictive Modeling, Machine Learning Methods, Applied Machine Learning, Data Processing, Machine Learning, Supervised Learning, Machine Learning Algorithms, Unsupervised Learning, Classification Algorithms

    4.3
    Rating, 4.3 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Introduction to Trading, Machine Learning & GCP

    Skills you'll gain: Machine Learning Methods, Model Evaluation, Machine Learning, Google Cloud Platform, Model Training, Machine Learning Algorithms, Applied Machine Learning, Supervised Learning, Machine Learning Software, Time Series Analysis and Forecasting, Financial Trading, Deep Learning, Statistical Machine Learning, Model Optimization, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Securities Trading, Technical Analysis, Cloud Platforms, Finance

    4
    Rating, 4 out of 5 stars
    ·
    900 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Deep Learning for Computer Vision

    Skills you'll gain: Model Evaluation, Computer Vision, Model Deployment, Anomaly Detection, Convolutional Neural Networks, Image Analysis, Transfer Learning, Model Training, Fine-tuning, Deep Learning, Generative AI, Artificial Neural Networks, Applied Machine Learning, Data Preprocessing, Matlab, Software Visualization, Classification Algorithms, Model Optimization, Predictive Modeling, Performance Tuning

    4.9
    Rating, 4.9 out of 5 stars
    ·
    36 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Exploratory Data Analysis for Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Statistical Methods, Data Preprocessing, Statistical Inference, Statistical Hypothesis Testing, Data Processing, Applied Machine Learning, Data Access, Statistics, Statistical Analysis, Data Analysis, Data Cleansing, Data Manipulation, Data Science, Data Wrangling, Machine Learning, Probability & Statistics, Data Import/Export, Data Transformation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.6K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    P

    Packt

    Debugging Machine Learning Models with Python

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, PyTorch (Machine Learning Library), Responsible AI, Debugging, Model Deployment, Model Training, Model Optimization, Deep Learning, Test Tools, Applied Machine Learning, Testability, Machine Learning Methods, Machine Learning, Data Preprocessing, Verification And Validation, Python Programming, AI Security, Test Driven Development (TDD), AI Enablement

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Science: Statistics and Machine Learning

    Skills you'll gain: Shiny (R Package), Rmarkdown, Model Evaluation, Regression Analysis, Leaflet (Software), Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Interactive Data Visualization, Probability & Statistics, Data Presentation, Data Visualization, Statistical Analysis, Statistical Modeling, R Programming, Machine Learning, GitHub

    4.4
    Rating, 4.4 out of 5 stars
    ·
    7.2K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Deep Learning for Object Detection

    Skills you'll gain: Computer Vision, Model Evaluation, Image Analysis, Convolutional Neural Networks, Deep Learning, Model Training, Matlab, Fine-tuning, Data Preprocessing, Software Visualization, Transfer Learning, Data Cleansing, Model Optimization, Data Analysis, Network Architecture

    4.9
    Rating, 4.9 out of 5 stars
    ·
    13 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    e-Learning Ecologies: Innovative Approaches to Teaching and Learning for the Digital Age

    Skills you'll gain: Differentiated Instruction, Digital pedagogy, Collaborative Software, Education Software and Technology, digital literacy, Emerging Technologies, Innovation, Digital Communications

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.6K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Deep Learning Methods for Healthcare

    Skills you'll gain: Deep Learning, Convolutional Neural Networks, Autoencoders, Recurrent Neural Networks (RNNs), Image Analysis, Embeddings, Model Deployment, Applied Machine Learning, Artificial Neural Networks, Health Informatics, Machine Learning, Medical Science and Research, Unsupervised Learning, Dimensionality Reduction

    3.9
    Rating, 3.9 out of 5 stars
    ·
    15 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Politecnico di Milano

    Smart Teaching and Learning with AI

    Skills you'll gain: Blended Learning, Pedagogy, Large Language Modeling, Teaching, Digital pedagogy, LLM Application, Instructional Design, Instructional and Curriculum Design, Student Engagement, Learning Strategies, Education Software and Technology, Interactive Learning, Lesson Planning, Educational Materials, AI Personalization, Innovation, Student-Centred Learning, Curriculum Planning, Differentiated Instruction, Artificial Intelligence

    4.9
    Rating, 4.9 out of 5 stars
    ·
    898 reviews

    Beginner · Specialization · 3 - 6 Months

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

  • Curiosity and Lifelong Learning: Packt
  • Deep Learning and Modern AI Architectures: Coursera
  • AWS: Machine Learning & MLOps Foundations: Whizlabs
  • Introduction to Trading, Machine Learning & GCP: Google Cloud
  • Deep Learning for Computer Vision: MathWorks
  • Exploratory Data Analysis for Machine Learning: IBM
  • Debugging Machine Learning Models with Python: Packt
  • Data Science: Statistics and Machine Learning: Johns Hopkins University
  • Deep Learning for Object Detection: MathWorks
  • e-Learning Ecologies: Innovative Approaches to Teaching and Learning for the Digital Age: University of Illinois Urbana-Champaign

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