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  • Matrix Methods

Results for "matrix+methods"


  • E

    EDUCBA

    Advanced Machine Learning with R: Apply & Predict

    Skills you'll gain: Dimensionality Reduction, R Programming, Time Series Analysis and Forecasting, Statistical Machine Learning, Machine Learning Algorithms, Applied Machine Learning, Unsupervised Learning, Predictive Modeling, Machine Learning, Text Mining, Classification Algorithms, Artificial Neural Networks, Forecasting, Data Mining, Data Preprocessing, Model Optimization, Model Evaluation, Exploratory Data Analysis

    Mixed · Course · 1 - 4 Weeks

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

    EDUCBA

    Linear Regression & Supervised Learning in Python

    Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Regression Analysis, Model Training, Predictive Modeling, Supervised Learning, Statistical Modeling, Data Analysis, Correlation Analysis, Predictive Analytics, Applied Machine Learning, Machine Learning Methods, Statistical Analysis, Data Preprocessing, Verification And Validation

    ★ 4.6 (14) · Mixed · Course · 1 - 4 Weeks

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

    Coursera

    FEM - Linear, Nonlinear Analysis & Post-Processing

    Skills you'll gain: Finite Element Methods, Engineering Analysis, Simulation and Simulation Software, Simulations, Mechanical Design, Mathematical Modeling, Structural Engineering, Structural Analysis, 3D Modeling

    ★ 4.7 (213) · Intermediate · Guided Project · Less Than 2 Hours

    Category: Free
    Free
    Category: Credit offered
    Credit offered
  • E

    EDUCBA

    Octave Programming: Analyze, Apply & Implement

    Skills you'll gain: Plot (Graphics), Scripting, Scientific Visualization, Graphing, Scripting Languages, Data Visualization Software, Code Reusability, Debugging, Matlab, Numerical Analysis, Mathematical Software, Applied Mathematics, Data Manipulation, Linear Algebra

    Mixed · Course · 1 - 4 Weeks

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

    Simplilearn

    Introduction to Linear Regression Training

    Skills you'll gain: Predictive Analytics, Regression Analysis, Predictive Modeling, Machine Learning, Forecasting, Machine Learning Algorithms, Case Studies, Algorithms

    Beginner · Course · 1 - 4 Weeks

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

    EDUCBA

    GNU Octave: Apply, Implement & Design Functions

    Skills you'll gain: Mathematical Software, Software Installation, Numerical Analysis, Mathematical Modeling, Trigonometry, Programming Principles, Functional Design, Code Reusability, Data Manipulation, Computational Logic, Linear Algebra, Arithmetic

    Mixed · Course · 1 - 4 Weeks

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

    Coursera

    Improve Accuracy with ML Ensemble Methods

    Skills you'll gain: Random Forest Algorithm, Decision Tree Learning, Applied Machine Learning, Jupyter, Classification Algorithms, Java, Java Programming, Sampling (Statistics), Statistical Machine Learning, Model Evaluation, Supervised Learning, Machine Learning Methods, Model Training, Predictive Modeling, Machine Learning, Learning Styles, Program Evaluation, Program Implementation

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    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
  • P

    Packt

    Introduction to Procedural Maze Building and Maze Algorithms

    Skills you'll gain: Unity Engine, Algorithms, Game Design, Video Game Development, Program Development, Programming Principles, Debugging

    Beginner · Course · 1 - 4 Weeks

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

    University of Colorado Boulder

    Essential Linear Algebra for Data Science

    Skills you'll gain: Linear Algebra, Applied Mathematics, Data Science, Mathematics and Mathematical Modeling, Data Analysis, Data Modeling, Statistical Methods, Algebra, Numerical Analysis

    ★ 4.5 (189) · Intermediate · Course · 1 - 3 Months

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

    Packt

    Algorithm Alchemy: Unlocking the Secrets of Machine Learning

    Skills you'll gain: Machine Learning Methods, Autoencoders, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Scientific Visualization, Classification Algorithms, Model Training, Model Evaluation

    Intermediate · Course · 1 - 4 Weeks

    Category: Credit offered
    Credit offered
  • P

    Packt

    Advanced Game Math - Affine Transformations

    Skills you'll gain: Unity Engine, Animation and Game Design, Video Game Development, Data Structures, Computer Graphics, Linear Algebra, Advanced Mathematics, Applied Mathematics, Algorithms

    Advanced · Course · 1 - 4 Weeks

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

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

  • Advanced Machine Learning with R: Apply & Predict: EDUCBA
  • Linear Regression & Supervised Learning in Python: EDUCBA
  • FEM - Linear, Nonlinear Analysis & Post-Processing: Coursera
  • Octave Programming: Analyze, Apply & Implement: EDUCBA
  • Introduction to Linear Regression Training : Simplilearn
  • GNU Octave: Apply, Implement & Design Functions: EDUCBA
  • Improve Accuracy with ML Ensemble Methods: Coursera
  • Master Keying Techniques in After Effects: EDUCBA
  • Introduction to Procedural Maze Building and Maze Algorithms: Packt
  • Essential Linear Algebra for Data Science: University of Colorado Boulder

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