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  • Matrix Factorization

Results for "matrix+factorization"


  • U

    University of Minnesota

    Nearest Neighbor Collaborative Filtering

    Skills you'll gain: AI Personalization, Machine Learning Algorithms, Predictive Modeling, Applied Machine Learning, Machine Learning Methods, Unsupervised Learning, Data Mining, Algorithms, Correlation Analysis

    ★ 4.3 (308) · Mixed · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • N

    National Taiwan University

    機器學習技法 (Machine Learning Techniques)

    Skills you'll gain: Feature Engineering, Machine Learning Methods, Autoencoders, Machine Learning Algorithms, Statistical Machine Learning, Supervised Learning, Model Optimization, Applied Machine Learning, Deep Learning, Machine Learning, Model Training, Random Forest Algorithm, Decision Tree Learning, Artificial Neural Networks, Classification Algorithms, Model Evaluation, Dimensionality Reduction, Embeddings, Logistic Regression

    ★ 4.9 (35) · Intermediate · Course · 3 - 6 Months

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • E

    EDUCBA

    Recommendation Engine - Basics

    Skills you'll gain: Model Evaluation, Model Training, AI Personalization, Data Science, Machine Learning Software, Predictive Analytics, Data Preprocessing, Python Programming, Machine Learning Methods, Development Environment, Package and Software Management

    ★ 4.6 (29) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • N

    Northeastern University

    Foundations of Statistical Learning & Algorithms

    Skills you'll gain: Model Evaluation, Linear Algebra, Statistical Machine Learning, Model Optimization, Statistical Modeling, Probability, Probability & Statistics, Statistical Methods, Bayesian Statistics, Probability Distribution, Machine Learning, Applied Mathematics, Algorithms, Statistical Inference, Verification And Validation, Dimensionality Reduction

    Mixed · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • E

    EDUCBA

    Master Keying Techniques in After Effects

    Skills you'll gain: Adobe After Effects, Photo/Video Production and Technology, Motion Graphics, Graphic and Visual Design

    ★ 5 (8) · Beginner · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • E

    EDUCBA

    Octave for Machine Learning: Analyze & Visualize

    Skills you'll gain: Plot (Graphics), Scientific Visualization, Text Mining, Statistical Analysis, Matlab, Statistical Methods, Data Visualization, Visualization (Computer Graphics), Descriptive Statistics, Unstructured Data, Data Analysis, Statistical Software, Computer Programming, Mathematical Software, Applied Machine Learning, Data Transformation, Data Preprocessing, Data Manipulation, Analytics, Data Processing

    Mixed · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • N

    National Taiwan University

    機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations

    Skills you'll gain: Supervised Learning, Model Training, Machine Learning, Machine Learning Methods, Statistical Machine Learning, Model Evaluation, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Theoretical Computer Science, Classification Algorithms, Mathematical Modeling, Statistical Methods, Mathematical Theory & Analysis, Probability, Probability & Statistics, Algorithms

    ★ 4.9 (937) · Beginner · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • E

    EDUCBA

    AI Foundations with Python: Build & Visualize

    Skills you'll gain: Seaborn, Matplotlib, NumPy, Plot (Graphics), Scatter Plots, Statistical Visualization, Data Visualization Software, Box Plots, Histogram, Jupyter, Heat Maps, Graphing, Data Manipulation, AI Workflows, Development Environment

    ★ 4.5 (19) · Mixed · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • P

    Packt

    Clustering and Classification with Machine Learning in R

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Supervised Learning, R Programming, Machine Learning Methods, Applied Machine Learning, R (Software), Classification Algorithms, Statistical Machine Learning, Data Wrangling, Machine Learning Algorithms, Tidyverse (R Package), Machine Learning, Data Science, Ggplot2, Classification And Regression Tree (CART), Feature Engineering, Machine Learning Software, Data Preprocessing, Statistical Programming

    Beginner · Course · 1 - 3 Months

    Category: Credit offered
    Credit offered
  • 2

    28DIGITAL

    Advanced Recommender Systems

    Skills you'll gain: AI Personalization, Applied Machine Learning, Dimensionality Reduction, Machine Learning Methods, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Feature Engineering, Model Optimization, Model Training, Machine Learning, Model Evaluation, Algorithms, Context Management

    ★ 3.8 (23) · Intermediate · Course · 1 - 3 Months

    Category: Credit offered
    Credit offered
  • A

    Arizona State University

    Response Surfaces, Mixtures, and Model Building

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

    ★ 4.7 (67) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • A

    Arizona State University

    Factorial and Fractional Factorial Designs

    Skills you'll gain: Experimentation, Statistical Analysis, Statistical Methods, Statistical Hypothesis Testing, Variance Analysis, Data Analysis, Statistical Modeling

    ★ 4.8 (81) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
1…6789

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

  • Nearest Neighbor Collaborative Filtering: University of Minnesota
  • 機器學習技法 (Machine Learning Techniques): National Taiwan University
  • Recommendation Engine - Basics: EDUCBA
  • Foundations of Statistical Learning & Algorithms: Northeastern University
  • Master Keying Techniques in After Effects: EDUCBA
  • Octave for Machine Learning: Analyze & Visualize: EDUCBA
  • 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations: National Taiwan University
  • AI Foundations with Python: Build & Visualize: EDUCBA
  • Clustering and Classification with Machine Learning in R: Packt
  • Advanced Recommender Systems: 28DIGITAL

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