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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


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    Edureka

    Getting Started with Automated Machine Learning (AutoML)

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Automation, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, No-Code Development, Data Preprocessing, Scikit Learn (Machine Learning Library), Machine Learning, Model Evaluation, Applied Machine Learning, Predictive Modeling, Data-Driven Decision-Making, Machine Learning Algorithms, Artificial Intelligence, Scalability, Performance Tuning, Performance Metric

    Beginner · Course · 1 - 4 Weeks

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    C

    Coursera

    Optimize Deep Learning Models for Peak AI

    Skills you'll gain: Model Evaluation, Deep Learning, Performance Tuning, Applied Machine Learning, Performance Improvement, Artificial Intelligence and Machine Learning (AI/ML), Performance Analysis

    Intermediate · Course · 1 - 4 Weeks

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    Microsoft

    Machine Learning and AI Applications in Healthcare

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Responsible AI, Power BI, Microsoft Azure, Image Analysis, Data Visualization Software, Machine Learning, Medical Imaging, Predictive Analytics, Azure Synapse Analytics, Model Evaluation, Health Informatics, Artificial Intelligence, Applied Machine Learning, Data Preprocessing, Computer Vision, Feature Engineering

    Intermediate · Course · 1 - 4 Weeks

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    U

    University of Illinois Urbana-Champaign

    Ubiquitous Learning and Instructional Technologies

    Skills you'll gain: Education Software and Technology, Digital pedagogy, Instructional Strategies, Computer Science, Interactive Design, Emerging Technologies, Collaborative Software, Artificial Intelligence, Innovation

    4.6
    Rating, 4.6 out of 5 stars
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    75 reviews

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Support Interactive Learning with Genially

    Skills you'll gain: Interactive Learning, Education Software and Technology, End User Training and Support, Virtual Environment

    4.9
    Rating, 4.9 out of 5 stars
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    19 reviews

    Beginner · Guided Project · Less Than 2 Hours

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    Commonwealth Education Trust

    Foundations of Teaching for Learning: Introduction

    Skills you'll gain: Creative Thinking, Classroom Management, Teaching, Adaptability, Education and Training, Pedagogy, Working With Children, Instructional Strategies, Adult Education, Student Engagement, Professional Development, Collaboration, Curriculum Development, Planning

    4.6
    Rating, 4.6 out of 5 stars
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    864 reviews

    Mixed · Course · 1 - 4 Weeks

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    Northeastern University

    Machine Learning for Healthcare Professionals

    Skills you'll gain: Data Mining, Health Informatics, Acute Care, Emerging Technologies, Big Data, Health Technology, Analytics, Data Preprocessing, Clinical Informatics, Machine Learning, Health Care, Applied Machine Learning, Artificial Intelligence, Social Determinants Of Health, Home Health Care, Generative AI, Business Process Improvement

    Mixed · Course · 1 - 4 Weeks

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    Universidad de los Andes

    Introducción al deep learning contemporáneo

    Skills you'll gain: Recurrent Neural Networks (RNNs), Deep Learning, Convolutional Neural Networks, Generative Model Architectures, Generative Adversarial Networks (GANs), Transfer Learning, Vision Transformer (ViT), Image Analysis, Artificial Neural Networks, Machine Learning Methods, Computer Vision, Network Architecture, Natural Language Processing

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    8 reviews

    Beginner · Course · 1 - 4 Weeks

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    Simplilearn

    AI & Deep Learning Concepts and Applications

    Skills you'll gain: Reinforcement Learning, Artificial Intelligence, Tensorflow, Artificial Neural Networks, Deep Learning, Machine Learning, Applied Machine Learning, Data Ethics, Supervised Learning, Responsible AI, Unsupervised Learning, Natural Language Processing, Computer Programming

    4.2
    Rating, 4.2 out of 5 stars
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    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Edureka

    Practical Deep Learning with Python

    Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Artificial Intelligence, Applied Machine Learning, Python Programming, Model Evaluation

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Fine-tune Multimodal Models with Transfer Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Tensorflow, Model Deployment, Knowledge Transfer, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Azure Machine Learning for Data Scientists

    Skills you'll gain: Responsible AI, Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Classification Algorithms, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Model Deployment, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Supervised Learning, Virtual Machines, Data Pipelines

    4.3
    Rating, 4.3 out of 5 stars
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    178 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Getting Started with Automated Machine Learning (AutoML): Edureka
  • Optimize Deep Learning Models for Peak AI: Coursera
  • Machine Learning and AI Applications in Healthcare: Microsoft
  • Ubiquitous Learning and Instructional Technologies: University of Illinois Urbana-Champaign
  • Support Interactive Learning with Genially: Coursera
  • Foundations of Teaching for Learning: Introduction: Commonwealth Education Trust
  • Machine Learning for Healthcare Professionals: Northeastern University
  • Introducción al deep learning contemporáneo: Universidad de los Andes
  • AI & Deep Learning Concepts and Applications: Simplilearn
  • Practical Deep Learning with Python: Edureka

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