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  • Hyper Learning


Results for "hyper-learning"


  • Status: Free Trial
    Free Trial
    I

    IBM

    Machine Learning Capstone

    Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Data Analysis, Applied Machine Learning, Statistical Analysis, Data Mining, Predictive Modeling, Machine Learning, Technical Communication, Scikit Learn (Machine Learning Library), Regression Analysis, Artificial Neural Networks, Deep Learning, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    196 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    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
    ·
    874 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
    ·
    299 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Machine Learning Essentials

    Skills you'll gain: Statistical Machine Learning, Model Evaluation, Statistical Methods, Logistic Regression, Python Programming, Supervised Learning, Machine Learning Methods, Machine Learning, Classification Algorithms, Regression Analysis, Statistical Analysis, Applied Machine Learning, Data Science, Probability & Statistics, Dimensionality Reduction, Statistical Hypothesis Testing

    Intermediate · Course · 1 - 4 Weeks

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

    Packt

    Core Machine Learning & Evaluation

    Skills you'll gain: Model Evaluation, Supervised Learning, Feature Engineering, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Statistical Machine Learning, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Data Preprocessing, Scikit Learn (Machine Learning Library), Random Forest Algorithm, Regression Analysis, Classification Algorithms, Logistic Regression, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    W

    Whizlabs

    Fundamentals of Machine Learning

    Skills you'll gain: Supervised Learning, Unsupervised Learning, MLOps (Machine Learning Operations), Applied Machine Learning, Model Evaluation, AWS SageMaker, Data Preprocessing, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Azure DevOps, Model Deployment, Microsoft Azure, Amazon Web Services, Deep Learning, Data Processing

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Interpretable Machine Learning

    Skills you'll gain: Responsible AI, Decision Tree Learning, Data Ethics, Regression Analysis, Artificial Intelligence, Machine Learning, Statistical Modeling, Python Programming, Artificial Intelligence and Machine Learning (AI/ML), Logistic Regression, Deep Learning, Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
    ·
    28 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    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
    ·
    313 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    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
    ·
    91 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Introduction to Deep Learning

    Skills you'll gain: Recurrent Neural Networks (RNNs), Artificial Intelligence and Machine Learning (AI/ML), Vision Transformer (ViT), PyTorch (Machine Learning Library), Keras (Neural Network Library), Large Language Modeling, Natural Language Processing, Embeddings, Network Model, Network Architecture

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    C

    Coursera

    Databricks Machine Learning Fundamentals

    Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Apache Spark, Applied Machine Learning, PySpark, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Scikit Learn (Machine Learning Library), Feature Engineering, Application Deployment, Model Evaluation, Real Time Data, Exploratory Data Analysis, Engineering

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Supervised Machine Learning: Regression

    Skills you'll gain: Supervised Learning, Regression Analysis, Applied Machine Learning, Predictive Modeling, Machine Learning, Machine Learning Algorithms, Statistical Modeling, Logistic Regression, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Feature Engineering, Statistical Analysis, Classification Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    821 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Machine Learning Capstone: IBM
  • Designing Learning Innovation: Politecnico di Milano
  • Foundations of Teaching for Learning: Learners and Learning: Commonwealth Education Trust
  • Machine Learning Essentials: University of Pennsylvania
  • Core Machine Learning & Evaluation: Packt
  • Fundamentals of Machine Learning: Whizlabs
  • Interpretable Machine Learning: Duke University
  • Assessment for Learning: University of Illinois Urbana-Champaign
  • Machine Learning Basics: Sungkyunkwan University
  • Introduction to Deep Learning: University of Colorado Boulder

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