Decision Tree Learning

Decision Tree Learning is a method of approximating discrete-valued target functions, in which the learned function is represented by a decision tree. Coursera's Decision Tree Learning catalogue will guide you in understanding this supervised learning method extensively used in machine learning and data mining. You'll learn how to build, visualize, and optimally prune decision trees for prediction and classification. This catalogue will also teach you about attribute selection measures, overfitting, randomness, and ensemble methods within decision tree learning. In mastering this skill, you'll be equipped to solve complex problems in areas such as finance, healthcare, and natural language processing using decision tree learning algorithms.
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Results for "decision tree learning"

  • Status: Free Trial

    Duke University

    Skills you'll gain: Deep Learning, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Decision Tree Learning, Computer Vision, Supervised Learning, Natural Language Processing, Random Forest Algorithm, Data Science, Predictive Analytics, Algorithms, Performance Metric

    4.7
    Rating, 4.7 out of 5 stars
    667 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    Status: Preview

    O.P. Jindal Global University

    Skills you'll gain: Machine Learning Algorithms, Artificial Intelligence, Computational Logic, Agentic systems, Machine Learning, Natural Language Processing, Business Strategy, Decision Tree Learning, Artificial Neural Networks, Strategic Decision-Making, Algorithms, Bayesian Network, Complex Problem Solving, Probability & Statistics

    Build toward a degree

    Mixed · Course · 3 - 6 Months

  • Status: Free Trial

    University of California, Irvine

    Skills you'll gain: Predictive Modeling, Predictive Analytics, Classification And Regression Tree (CART), Regression Analysis, Decision Tree Learning, Statistical Modeling, Supervised Learning, Data Analysis, Forecasting, Machine Learning, Unsupervised Learning, Statistical Analysis, Time Series Analysis and Forecasting

    4.5
    Rating, 4.5 out of 5 stars
    73 reviews

    Intermediate · Course · 1 - 4 Weeks

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