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  • Fundamental Concepts In Machine Learning

Results for "fundamental concepts in machine 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, Data Presentation, Machine Learning, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Python Programming, Tensorflow, Regression Analysis, Keras (Neural Network Library), Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
    ·
    186 reviews

    Advanced · Course · 1 - 3 Months

  • G

    Google Cloud

    Machine Learning in the Enterprise - Español

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Workflow Management, Data Pipelines, Applied Machine Learning, Data Processing, Machine Learning, Feature Engineering, Data Management, Performance Tuning, Continuous Monitoring

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Interpretable Machine Learning

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

    4.7
    Rating, 4.7 out of 5 stars
    ·
    23 reviews

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Machine Learning in the Enterprise - Italiano

    Skills you'll gain: MLOps (Machine Learning Operations), Business Workflow Analysis, Data Management, Google Cloud Platform, Data Governance, Data Pipelines, Predictive Modeling, Machine Learning, Data Transformation, Continuous Monitoring

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Machine Learning in the Enterprise - 한국어

    Skills you'll gain: MLOps (Machine Learning Operations), Data Governance, Data Management, Workflow Management, Data Processing, Google Cloud Platform, Tensorflow, Machine Learning, Data Pipelines, Predictive Modeling, Data Transformation, Feature Engineering, Containerization, Continuous Monitoring

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning: Classification

    Skills you'll gain: Classification And Regression Tree (CART), Applied Machine Learning, Supervised Learning, Predictive Modeling, Text Mining, Machine Learning Algorithms, Feature Engineering, Data Cleansing, Scalability, Risking, Machine Learning, Natural Language Processing, Big Data, Probability & Statistics, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.7K reviews

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Machine Learning Projects in R with Caret

    Skills you'll gain: Applied Machine Learning, Unsupervised Learning, Correlation Analysis, Data Cleansing, R Programming, Data Quality, Feature Engineering, Machine Learning, Data Validation, Data Processing, Machine Learning Algorithms, Data Manipulation, Exploratory Data Analysis, Data Integrity, Analysis, Statistical Analysis

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning: Regression

    Skills you'll gain: Regression Analysis, Predictive Modeling, Supervised Learning, Statistical Modeling, Applied Machine Learning, Predictive Analytics, Feature Engineering, Machine Learning, Statistical Methods, Python Programming, Data Manipulation, Algorithms, Performance Testing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.6K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    A

    Alberta Machine Intelligence Institute

    Machine Learning: Algorithms in the Real World

    Skills you'll gain: Supervised Learning, Feature Engineering, Responsible AI, Machine Learning Algorithms, Data Ethics, Applied Machine Learning, Data Quality, Data Processing, MLOps (Machine Learning Operations), Jupyter, Data Validation, Machine Learning, Business Operations, Data Cleansing, Product Lifecycle Management, Machine Learning Methods, Ethical Standards And Conduct, Classification And Regression Tree (CART), Test Data, Project Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.1K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    N

    New York Institute of Finance

    Using Machine Learning in Trading and Finance

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Financial Trading, Data Pipelines, Applied Machine Learning, Technical Analysis, Machine Learning, Securities Trading, Market Trend, Financial Market, Deep Learning, Python Programming, Predictive Modeling, Performance Metric

    3.9
    Rating, 3.9 out of 5 stars
    ·
    375 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    S

    Sungkyunkwan University

    Machine Learning Algorithms

    Skills you'll gain: Machine Learning Algorithms, Decision Tree Learning, Classification And Regression Tree (CART), Unsupervised Learning, Machine Learning, Supervised Learning, Python Programming, Algorithms, Linear Algebra, Bayesian Statistics, Probability

    3.5
    Rating, 3.5 out of 5 stars
    ·
    8 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Machine Learning and Human Learning

    Skills you'll gain: Supervised Learning, Machine Learning, Applied Machine Learning, AI Personalization, Artificial Intelligence and Machine Learning (AI/ML), Learning Management Systems, Artificial Intelligence, Data Mining, Mobile Development, Human Computer Interaction, Natural Language Processing

    Beginner · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular fundamental concepts in machine learning courses

  • Machine Learning Capstone: IBM
  • Machine Learning in the Enterprise - Español: Google Cloud
  • Interpretable Machine Learning: Duke University
  • Machine Learning in the Enterprise - Italiano: Google Cloud
  • Machine Learning in the Enterprise - 한국어: Google Cloud
  • Machine Learning: Classification: University of Washington
  • Machine Learning Projects in R with Caret: EDUCBA
  • Machine Learning: Regression: University of Washington
  • Machine Learning: Algorithms in the Real World: Alberta Machine Intelligence Institute
  • Using Machine Learning in Trading and Finance: New York Institute of Finance

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