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  • Sparse Approximation


Results for "sparse+approximation"


  • Status: Free Trial
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    D

    DeepLearning.AI

    Mathematics for Machine Learning and Data Science

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Numerical Analysis, Machine Learning Algorithms, Data Preprocessing, Machine Learning, Machine Learning Methods

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.1K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free
    Free
    É

    École normale supérieure

    Approximation Algorithms Part I

    Skills you'll gain: Theoretical Computer Science, Combinatorics, Algorithms, Graph Theory, Computational Thinking, Mathematical Modeling, Probability

    4.7
    Rating, 4.7 out of 5 stars
    ·
    556 reviews

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    D

    Dartmouth College

    Practical Machine Learning: Foundations to Neural Networks

    Skills you'll gain: Supervised Learning, Bayesian Network, Logistic Regression, Artificial Neural Networks, Machine Learning Methods, Statistical Modeling, Predictive Modeling, Model Evaluation, Statistical Machine Learning, Probability & Statistics, Bayesian Statistics, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Statistical Methods, Artificial Intelligence, Regression Analysis, Classification Algorithms, Statistical Inference

    Build toward a degree

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free
    Free
    É

    École normale supérieure

    Approximation Algorithms Part II

    Skills you'll gain: Theoretical Computer Science, Combinatorics, Algorithms, Advanced Mathematics, Linear Algebra, Mathematical Modeling, Probability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    46 reviews

    Mixed · Course · 1 - 4 Weeks

  • 2

    28DIGITAL

    Approximation Algorithms

    Skills you'll gain: Algorithms, Graph Theory, Computational Thinking, Applied Mathematics, Theoretical Computer Science, Operations Research, Linear Algebra

    4.7
    Rating, 4.7 out of 5 stars
    ·
    33 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Approximation Algorithms and Linear Programming

    Skills you'll gain: Operations Research, Algorithms, Graph Theory, Linear Algebra, Combinatorics, Computational Thinking, Mathematical Modeling, Theoretical Computer Science, Python Programming

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    51 reviews

    Advanced · Course · 1 - 4 Weeks

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  • Status: Free Trial
    Free Trial
    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

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Pittsburgh

    Linear Algebra and Regression Fundamentals for Data Science

    Skills you'll gain: NumPy, Matplotlib, Linear Algebra, Pandas (Python Package), Data Manipulation, Applied Mathematics, Data Visualization, Python Programming, Data Analysis, Data Science, Regression Analysis, Data Visualization Software, Mathematics and Mathematical Modeling, Probability & Statistics, Statistics, Numerical Analysis, Mathematical Modeling, Machine Learning, Computational Logic, Logical Reasoning

    Build toward a degree

    3.8
    Rating, 3.8 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Minnesota

    Matrix Methods

    Skills you'll gain: Dimensionality Reduction, NumPy, Linear Algebra, Numerical Analysis, Statistical Methods, Regression Analysis, Mathematical Modeling, Applied Mathematics, Solution Design, Applied Machine Learning, Data Manipulation, Algorithms, Python Programming

    4.1
    Rating, 4.1 out of 5 stars
    ·
    249 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free
    Free
    T

    The Chinese University of Hong Kong

    Solving Algorithms for Discrete Optimization

    Skills you'll gain: Operations Research, Computational Logic, Combinatorics, Algorithms, Applied Mathematics, Mathematical Modeling, Mathematical Software, Computational Thinking, Programming Principles, Theoretical Computer Science, Performance Tuning, Linear Algebra

    4.8
    Rating, 4.8 out of 5 stars
    ·
    44 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
    T

    The Chinese University of Hong Kong

    Advanced Modeling for Discrete Optimization

    Skills you'll gain: Debugging, Mathematical Modeling, Advanced Mathematics, Operations Research, Computational Logic, Data Structures

    4.9
    Rating, 4.9 out of 5 stars
    ·
    140 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Calculus for Machine Learning and Data Science

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

    4.8
    Rating, 4.8 out of 5 stars
    ·
    945 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Mathematics for Machine Learning and Data Science: DeepLearning.AI
  • Approximation Algorithms Part I: École normale supérieure
  • Practical Machine Learning: Foundations to Neural Networks: Dartmouth College
  • Approximation Algorithms Part II: École normale supérieure
  • Approximation Algorithms: 28DIGITAL
  • Approximation Algorithms and Linear Programming : University of Colorado Boulder
  • Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
  • Linear Algebra and Regression Fundamentals for Data Science: University of Pittsburgh
  • Matrix Methods: University of Minnesota
  • Solving Algorithms for Discrete Optimization: The Chinese University of Hong Kong

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