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  • Introduction To Machine Learning

Results for "introduction to machine learning"


  • C

    Coursera

    Deep Learning with PyTorch : GradCAM

    Skills you'll gain: PyTorch (Machine Learning Library), Heat Maps, Image Analysis, Deep Learning, Artificial Neural Networks, Computer Vision

    4.6
    Rating, 4.6 out of 5 stars
    ·
    21 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Trees, SVM and Unsupervised Learning

    Skills you'll gain: Applied Machine Learning, Unsupervised Learning, Classification And Regression Tree (CART), Decision Tree Learning, Artificial Neural Networks, Supervised Learning, Statistical Machine Learning, Random Forest Algorithm, Machine Learning, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Dimensionality Reduction, Feature Engineering, Statistics

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    Neuronale Netze und Deep Learning

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Artificial Intelligence, NumPy, Computer Vision, Machine Learning, Supervised Learning, Linear Algebra, Calculus

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Colorado Boulder

    Blended Language Learning: Design and Practice for Teachers

    Skills you'll gain: Blended Learning, Course Development, Web Content Accessibility Guidelines, Education Software and Technology, Learning Management Systems, Language Learning, Technology Strategies

    4.8
    Rating, 4.8 out of 5 stars
    ·
    260 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    Deep Learning: Build & Optimize Neural Networks

    Skills you'll gain: Feature Engineering, Deep Learning, PyTorch (Machine Learning Library), Image Analysis, Natural Language Processing, Artificial Neural Networks, Artificial Intelligence, Computer Vision, Jupyter, Predictive Modeling, Machine Learning, Data Processing, Data Transformation

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Macquarie University

    Online Learning Design for Educators

    Skills you'll gain: Video Production, Infographics, Course Development, Multimedia, Peer Review, Discussion Facilitation, Content Creation, Constructive Feedback, Instructional Design, Education Software and Technology, Design Thinking, Pedagogy, Media Production, Learning Management Systems, Teaching, Design, Collaborative Software, Planning, Virtual Environment, End User Training and Support

    4.7
    Rating, 4.7 out of 5 stars
    ·
    404 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    S

    Simplilearn

    Supervised Learning Regression Classification Clustering

    Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Regression Analysis, Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Predictive Modeling, Random Forest Algorithm, Bayesian Statistics

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    K

    Korea Advanced Institute of Science and Technology(KAIST)

    Electrodynamics: An Introduction

    Skills you'll gain: Electrical Engineering, Basic Electrical Systems, Materials science, Physics, Integral Calculus, Applied Mathematics, Differential Equations, Scientific Visualization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    629 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Illinois Urbana-Champaign

    Learning Technologies Foundations and Applications

    Skills you'll gain: Education Software and Technology, Learning Theory, Instructional Design, Technology Solutions, Disabilities, Human Computer Interaction, Technology Strategies, Emerging Technologies, Innovation, Gerontology

    4.5
    Rating, 4.5 out of 5 stars
    ·
    190 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    A Complete Reinforcement Learning System (Capstone)

    Skills you'll gain: Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Simulations, Performance Testing, Artificial Neural Networks, Machine Learning, Machine Learning Algorithms, Markov Model, Algorithms, Performance Tuning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    648 reviews

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Deep Learning - Crash Course 2023

    Skills you'll gain: Tensorflow, Deep Learning, Keras (Neural Network Library), Artificial Neural Networks, NumPy, Matplotlib, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Pandas (Python Package), Data Science, Artificial Intelligence, Machine Learning, Supervised Learning, Data Manipulation, Regression Analysis

    Beginner · Course · 3 - 6 Months

  • G

    Google Cloud

    Introduction to Data Engineering on Google Cloud - 日本語版

    Skills you'll gain: Data Sharing, Extract, Transform, Load, Cloud Storage, Google Cloud Platform, Data Migration, Data Pipelines, Data Import/Export, Big Data, Data Infrastructure, Data Warehousing, Data Storage, Data Processing, Data Management, Metadata Management, Automation

    Beginner · Course · 1 - 3 Months

Searches related to introduction to machine learning

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1…105106107…834

In summary, here are 10 of our most popular introduction to machine learning courses

  • Deep Learning with PyTorch : GradCAM: Coursera
  • Trees, SVM and Unsupervised Learning: University of Colorado Boulder
  • Neuronale Netze und Deep Learning: DeepLearning.AI
  • Blended Language Learning: Design and Practice for Teachers: University of Colorado Boulder
  • Deep Learning: Build & Optimize Neural Networks: EDUCBA
  • Online Learning Design for Educators: Macquarie University
  • Supervised Learning Regression Classification Clustering: Simplilearn
  • Electrodynamics: An Introduction: Korea Advanced Institute of Science and Technology(KAIST)
  • Learning Technologies Foundations and Applications: University of Illinois Urbana-Champaign
  • A Complete Reinforcement Learning System (Capstone): University of Alberta

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