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  • Linear Approximation

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Results for "linear approximation"


  • T

    The University of Sydney

    Introduction to Linear Algebra

    Skills you'll gain: Linear Algebra, Markov Model, Geometry, Arithmetic, Algebra, General Mathematics, Advanced Mathematics, Probability, Mathematics and Mathematical Modeling, Mathematical Theory & Analysis, Mathematical Modeling, Applied Mathematics, Statistical Methods, Vector Databases, Engineering Analysis, Computational Logic

    4.8
    Rating, 4.8 out of 5 stars
    ·
    41 reviews

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Linear Algebra for Machine Learning and Data Science

    Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Data Preprocessing, Machine Learning Methods, Advanced Mathematics, Data Manipulation, Applied Mathematics, Mathematical Modeling, Machine Learning, Python Programming, Algebra

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • I

    Imperial College London

    Mathematics for Machine Learning: Linear Algebra

    Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Machine Learning Algorithms, Jupyter, Algorithms, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    13K reviews

    Beginner · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    Advanced Linear Models for Data Science 1: Least Squares

    Skills you'll gain: Regression Analysis, Statistical Modeling, R Programming, Linear Algebra, Data Science, Mathematical Modeling, Data Modeling, Statistics, Statistical Analysis, Applied Mathematics, General Mathematics, Derivatives

    4.5
    Rating, 4.5 out of 5 stars
    ·
    190 reviews

    Advanced · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    Calculus for Machine Learning and Data Science

    Skills you'll gain: Applied Mathematics, Calculus, Numerical Analysis, Mathematical Modeling, Machine Learning, Python Programming, Artificial Neural Networks, Deep Learning, Visualization (Computer Graphics), Derivatives

    4.8
    Rating, 4.8 out of 5 stars
    ·
    948 reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Applied Machine Learning and Model Optimization

    Skills you'll gain: Supervised Learning, Feature Engineering, Applied Machine Learning, Unsupervised Learning, Model Evaluation, Machine Learning Algorithms, Predictive Modeling, Data Preprocessing, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Dimensionality Reduction, Performance Tuning

    Advanced · Course · 1 - 3 Months

  • G

    Google

    Regression Analysis: Simplify Complex Data Relationships

    Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Logistic Regression, Statistical Analysis, Analytics, Correlation Analysis, Predictive Modeling, Supervised Learning, Analysis, Statistical Modeling, Machine Learning, Model Evaluation, Variance Analysis, Classification Algorithms, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    589 reviews

    Advanced · Course · 1 - 3 Months

  • G

    Georgia Institute of Technology

    Linear Circuits 1: DC Analysis

    Skills you'll gain: Basic Electrical Systems, Electronic Components, Electrical Systems, Electronic Systems, Electrical Engineering, Engineering Analysis, Electronics, Engineering Calculations, Physics, Schematic Diagrams

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.5K reviews

    Mixed · Course · 1 - 3 Months

  • T

    The Hong Kong University of Science and Technology

    Numerical Methods for Engineers

    Skills you'll gain: Matlab, Engineering Calculations, Numerical Analysis, Mathematical Software, Engineering Analysis, Linear Algebra, Differential Equations, Applied Mathematics, Mathematical Modeling, Simulation and Simulation Software, Computational Thinking, Estimation, Integral Calculus, Scripting, Simulations, Calculus, Scientific Visualization, Programming Principles, Plot (Graphics), Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    425 reviews

    Intermediate · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    Advanced Linear Models for Data Science 2: Statistical Linear Models

    Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Data Science, Probability Distribution, Statistical Modeling, Mathematical Modeling, Probability & Statistics, Applied Mathematics, Statistical Analysis, Statistical Inference

    4.6
    Rating, 4.6 out of 5 stars
    ·
    107 reviews

    Advanced · Course · 1 - 4 Weeks

  • G

    Georgia Institute of Technology

    Linear Circuits 2: AC Analysis

    Skills you'll gain: Electrical Power, Electrical Engineering, Basic Electrical Systems, Electronics, Power Electronics, Electronic Components, Engineering Analysis, Mathematical Modeling, Engineering Calculations, Plot (Graphics), Verification And Validation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    768 reviews

    Intermediate · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    Regression Models

    Skills you'll gain: Regression Analysis, Statistical Analysis, Statistical Modeling, Logistic Regression, Data Analysis, Model Evaluation, Probability & Statistics, Statistical Inference

    4.4
    Rating, 4.4 out of 5 stars
    ·
    3.4K reviews

    Mixed · Course · 1 - 4 Weeks

1234…64

In summary, here are 10 of our most popular linear approximation courses

  • Introduction to Linear Algebra: The University of Sydney
  • Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
  • Mathematics for Machine Learning: Linear Algebra: Imperial College London
  • Advanced Linear Models for Data Science 1: Least Squares: Johns Hopkins University
  • Calculus for Machine Learning and Data Science: DeepLearning.AI
  • Applied Machine Learning and Model Optimization: Packt
  • Regression Analysis: Simplify Complex Data Relationships: Google
  • Linear Circuits 1: DC Analysis: Georgia Institute of Technology
  • Numerical Methods for Engineers: The Hong Kong University of Science and Technology
  • Advanced Linear Models for Data Science 2: Statistical Linear Models: Johns Hopkins University

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