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  • Unsupervised Learning

Unsupervised Learning Courses

Unsupervised learning courses can help you learn clustering techniques, dimensionality reduction, and anomaly detection. You can build skills in data preprocessing, feature extraction, and interpreting complex datasets. Many courses introduce tools like Python libraries such as Scikit-learn and TensorFlow, that support implementing these methods in projects. You'll also explore practical applications in areas like customer segmentation, image processing, and recommendation systems, enhancing your ability to derive insights from unlabelled data.

Popular Unsupervised Learning Courses and Certifications


  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Learning Experience Design: Theories and Frameworks

    Skills you'll gain: Course Development, Instructional Design, Learning Theory, Brainstorming, Design, Needs Assessment, Motivational Skills, Prototyping, Student-Centred Learning, Analysis, Communication, Collaboration

    4.9
    Rating, 4.9 out of 5 stars
    ·
    44 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Colorado Boulder

    Deep Learning Applications for Computer Vision

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Tensorflow, Deep Learning, Artificial Neural Networks, Machine Learning Methods, Model Training, Model Optimization, Applied Machine Learning, Fine-tuning, Feature Engineering, Machine Learning, Model Evaluation, Classification Algorithms

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    90 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    T

    The University of Tokyo

    Let’s Read! Learning Japanese through Science & Technology-2

    Skills you'll gain: Language Competency, Vocabulary, Oral Comprehension, Grammar, Language Learning, Literacy, Materials science

    4.9
    Rating, 4.9 out of 5 stars
    ·
    26 reviews

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Bracketology with Google Machine Learning

    Skills you'll gain: Data Preprocessing, Model Evaluation, Applied Machine Learning, Feature Engineering, Data Transformation, Big Data, Google Cloud Platform, Analytics, Data Manipulation, Predictive Analytics, Model Training, Predictive Modeling, Machine Learning, Data Access, Exploratory Data Analysis, SQL

    Beginner · Project · Less Than 2 Hours

  • P

    Pearson

    Learn MLOps for Machine Learning

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Data Processing, Model Training, Data Collection, Data Management, Cloud Deployment, Model Evaluation, Data Preprocessing, Automation, Data Pipelines, Feature Engineering, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning Operations (MLOps): Getting Started

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Model Evaluation, Model Training, DevOps, Cloud Deployment, Devops Tools, Continuous Deployment, CI/CD, AI Workflows, Automation

    4
    Rating, 4 out of 5 stars
    ·
    487 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Commonwealth Education Trust

    Foundations of Teaching for Learning: Introduction

    Skills you'll gain: Creative Thinking, Classroom Management, Teaching, Adaptability, Creativity, Education and Training, Pedagogy, Instructional Strategies, Professionalism, Instructing, Student Engagement, Rapport Building, Professional Development, Learning Theory, Collaboration, Planning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    875 reviews

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 1

    Skills you'll gain: Model Training, Feature Engineering, Classification And Regression Tree (CART), Decision Tree Learning, Applied Machine Learning, Model Evaluation, Random Forest Algorithm, Responsible AI, Predictive Modeling, Data Preprocessing, Data Import/Export, Machine Learning, Classification Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    116 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Machine Learning with Python: Case Studies

    Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Feature Engineering, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Model Training, Risk Modeling, Predictive Modeling, Statistical Methods, Predictive Analytics, Credit Risk, Supervised Learning, Statistical Modeling, Unsupervised Learning, Machine Learning Methods, Machine Learning, Python Programming, Logistic Regression

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    Universidad de los Andes

    Introducción al deep learning contemporáneo

    Skills you'll gain: Recurrent Neural Networks (RNNs), Generative AI, 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, Model Optimization, Network Architecture, Natural Language Processing, Model Training

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    8 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Recommender Systems with Machine Learning

    Skills you'll gain: Data Manipulation, Data Wrangling, AI Personalization, Model Evaluation, Applied Machine Learning, Data Preprocessing, Machine Learning Methods, Data Cleansing, Statistical Machine Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Model Training, Taxonomy, Text Mining, Data Analysis, Artificial Intelligence, Deep Learning

    Intermediate · Course · 1 - 3 Months

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

    Packt

    Customer Insights and Personalization with Machine Learning

    Skills you'll gain: AI Personalization, Feature Engineering, Personalized Service, Customer Insights, Customer Analysis, Marketing Analytics, Data Transformation, Predictive Analytics, Customer Engagement, Predictive Modeling, Data-Driven Marketing, Machine Learning Methods, Customer experience improvement, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Text Mining, Marketing Strategies, Business Intelligence, Data Analysis

    Intermediate · Course · 1 - 4 Weeks

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

  • Learning Experience Design: Theories and Frameworks: University of Michigan
  • Deep Learning Applications for Computer Vision: University of Colorado Boulder
  • Let’s Read! Learning Japanese through Science & Technology-2: The University of Tokyo
  • Bracketology with Google Machine Learning: Google Cloud
  • Learn MLOps for Machine Learning: Pearson
  • Machine Learning Operations (MLOps): Getting Started: Google Cloud
  • Foundations of Teaching for Learning: Introduction: Commonwealth Education Trust
  • Interpretable Machine Learning Applications: Part 1: Coursera
  • Machine Learning with Python: Case Studies: EDUCBA
  • Introducción al deep learning contemporáneo: Universidad de los Andes

Skills you can learn in Machine Learning

Python Programming (33)
Tensorflow (32)
Deep Learning (30)
Artificial Neural Network (24)
Big Data (18)
Statistical Classification (17)
Reinforcement Learning (13)
Algebra (10)
Bayesian (10)
Linear Algebra (10)
Linear Regression (9)
Numpy (9)

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