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  • Matrix Factorization

Results for "matrix+factorization"


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

    EDUCBA

    Machine Learning with R: Build, Analyze & Predict

    Skills you'll gain: Data Analysis, Statistical Analysis, Probability Distribution, R Programming, Exploratory Data Analysis, Statistical Modeling, Machine Learning, Statistical Inference, Classification Algorithms, Data Manipulation, Supervised Learning, Random Forest Algorithm, Regression Analysis, Model Evaluation, Decision Tree Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    15 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    A

    Arizona State University

    Factorial and Fractional Factorial Designs

    Skills you'll gain: Experimentation, Statistical Analysis, Statistical Methods, Variance Analysis, Data Analysis, Sample Size Determination, Statistical Modeling

    4.8
    Rating, 4.8 out of 5 stars
    ·
    81 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Mastering Neural Networks and Model Regularization

    Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Supervised Learning, Artificial Neural Networks, Model Evaluation, Decision Tree Learning, Network Planning And Design, Machine Learning, Computer Vision

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    M

    Maven Analytics

    Complete Visual Guide to Machine Learning

    Skills you'll gain: Unsupervised Learning, Model Evaluation, Regression Analysis, Exploratory Data Analysis, Applied Machine Learning, Time Series Analysis and Forecasting, Data Analysis, Classification Algorithms, Statistical Analysis, Data Science, Data Preprocessing, Data Mining, Machine Learning, Predictive Modeling, Machine Learning Algorithms, Customer Analysis, Supervised Learning, Histogram, Data Quality, Business Intelligence

    Beginner · Course · 1 - 3 Months

  • 2

    28DIGITAL

    Advanced Recommender Systems

    Skills you'll gain: AI Personalization, Applied Machine Learning, Dimensionality Reduction, Feature Engineering, Machine Learning, Model Evaluation, Algorithms, Performance Tuning

    3.8
    Rating, 3.8 out of 5 stars
    ·
    23 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Nearest Neighbor Collaborative Filtering

    Skills you'll gain: AI Personalization, Machine Learning Algorithms, Predictive Modeling, Applied Machine Learning, Data Mining, Algorithms, Collaborative Software, Data Manipulation

    4.3
    Rating, 4.3 out of 5 stars
    ·
    308 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free
    Free
    C

    Coursera

    Machine Learning with PySpark: Recommender System

    Skills you'll gain: PySpark, Apache Spark, Data Pipelines, Data Processing, AI Personalization, Dimensionality Reduction, OpenAI API, Data Manipulation, Pandas (Python Package), Data Transformation, Predictive Modeling, Unsupervised Learning, Applied Machine Learning, Scatter Plots, Embeddings, Machine Learning

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Introduction to Recommender Systems: Non-Personalized and Content-Based

    Skills you'll gain: Taxonomy, AI Personalization, Spreadsheet Software, Machine Learning, Predictive Analytics, Microsoft Excel, Data Collection, Statistics, Algorithms, Computer Programming, Java

    4.4
    Rating, 4.4 out of 5 stars
    ·
    659 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    N

    New York University

    Fundamentals of Machine Learning in Finance

    Skills you'll gain: Supervised Learning, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Decision Tree Learning, Machine Learning, Financial Trading, Reinforcement Learning, Scikit Learn (Machine Learning Library), Financial Services, Regression Analysis, Correlation Analysis, Exploratory Data Analysis, Portfolio Management, Python Programming, Artificial Neural Networks

    3.7
    Rating, 3.7 out of 5 stars
    ·
    341 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Recommendation Engine - Basics

    Skills you'll gain: Model Evaluation, AI Personalization, Data Science, Predictive Analytics, Data Preprocessing, Python Programming, Development Environment

    4.6
    Rating, 4.6 out of 5 stars
    ·
    28 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    A

    Arizona State University

    Response Surfaces, Mixtures, and Model Building

    Skills you'll gain: Regression Analysis, Experimentation, Statistical Methods, Statistical Analysis, Statistical Modeling, Research Design, Mathematical Modeling, Analysis, Model Evaluation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    67 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDHEC Business School

    Python and Machine Learning for Asset Management

    Skills you'll gain: Investment Management, Portfolio Management, Asset Management, Portfolio Risk, Machine Learning, Applied Machine Learning, Financial Market, Financial Modeling, Supervised Learning, Predictive Analytics, Unsupervised Learning, Regression Analysis, Statistical Methods, Jupyter, Computer Science, Dimensionality Reduction

    3.1
    Rating, 3.1 out of 5 stars
    ·
    332 reviews

    Intermediate · Course · 1 - 3 Months

1…6789

In summary, here are 10 of our most popular matrix+factorization courses

  • Machine Learning with R: Build, Analyze & Predict: EDUCBA
  • Factorial and Fractional Factorial Designs: Arizona State University
  • Mastering Neural Networks and Model Regularization: Johns Hopkins University
  • Complete Visual Guide to Machine Learning: Maven Analytics
  • Advanced Recommender Systems: 28DIGITAL
  • Nearest Neighbor Collaborative Filtering: University of Minnesota
  • Machine Learning with PySpark: Recommender System: Coursera
  • Introduction to Recommender Systems: Non-Personalized and Content-Based: University of Minnesota
  • Fundamentals of Machine Learning in Finance: New York University
  • Recommendation Engine - Basics: EDUCBA

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