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  • Function Approximation

Results for "function+approximation"


  • Status: Preview
    Preview
    U

    University of Minnesota

    Matrix Methods

    Skills you'll gain: Dimensionality Reduction, Linear Algebra, Unsupervised Learning, Machine Learning Methods, Numerical Analysis, Mathematical Modeling, Applied Mathematics, 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 Trial
    Free Trial
    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
    P

    Packt

    Advanced Python Features and Functions

    Skills you'll gain: Code Reusability, Functional Design, Memory Management, Software Documentation

    Intermediate · Course · 3 - 6 Months

  • Status: Preview
    Preview
    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
    Rating, 4.9 out of 5 stars
    ·
    937 reviews

    Beginner · Course · 1 - 3 Months

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

    Packt

    Foundations of Model Optimization and Deep Learning

    Skills you'll gain: Convolutional Neural Networks, Model Optimization, Model Evaluation, Keras (Neural Network Library), Image Analysis, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Computer Vision, Model Training, Dimensionality Reduction, PyTorch (Machine Learning Library), Tensorflow, Machine Learning Methods, Performance Tuning, Artificial Intelligence, Bayesian Statistics

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    ML Parameters Optimization: GridSearch, Bayesian, Random

    Skills you'll gain: Model Optimization, Model Evaluation, Scikit Learn (Machine Learning Library), Regression Analysis, Fine-tuning, Applied Machine Learning, Machine Learning, Data Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Custom Models, Layers, and Loss Functions with TensorFlow

    Skills you'll gain: Tensorflow, Deep Learning, Keras (Neural Network Library), Convolutional Neural Networks, Model Optimization, Model Training, Artificial Neural Networks, Model Evaluation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    1.1K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    U

    University of Huddersfield

    Differential Equations & Advanced Applications

    Skills you'll gain: Calculus, Advanced Mathematics, Differential Equations, Applied Mathematics, Model Optimization, Mathematical Theory & Analysis, Mathematical Modeling, Analytical Skills, Engineering Analysis, Derivatives

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Deep-Dive into Tensorflow Activation Functions

    Skills you'll gain: Tensorflow, Artificial Neural Networks, Deep Learning, Machine Learning Methods, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    K

    Koç University

    Çok değişkenli Fonksiyon II: Uygulamalar / Multivariable Calculus II: Applications

    Skills you'll gain: Calculus, Integral Calculus, Applied Mathematics, Advanced Mathematics, Mathematical Modeling, Derivatives, Physics

    4.4
    Rating, 4.4 out of 5 stars
    ·
    14 reviews

    Mixed · Course · 1 - 3 Months

  • C

    Coursera

    Where, Why, and How of Lambda Functions in Python

    Skills you'll gain: Pandas (Python Package), Data Manipulation, Jupyter, Exploratory Data Analysis, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    34 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    K

    Koç University

    Çok değişkenli Fonksiyon I: Kavramlar / Multivariable Calculus I: Concepts

    Skills you'll gain: Geometry, Integral Calculus, Calculus, Applied Mathematics, Linear Algebra, Differential Equations, Advanced Mathematics, Derivatives, Mathematical Theory & Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    30 reviews

    Mixed · Course · 1 - 3 Months

1…6789

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

  • Matrix Methods: University of Minnesota
  • Octave Programming: Analyze, Apply & Implement: EDUCBA
  • Advanced Python Features and Functions: Packt
  • 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations: National Taiwan University
  • Foundations of Model Optimization and Deep Learning: Packt
  • ML Parameters Optimization: GridSearch, Bayesian, Random: Coursera
  • Custom Models, Layers, and Loss Functions with TensorFlow: DeepLearning.AI
  • Differential Equations & Advanced Applications: University of Huddersfield
  • Deep-Dive into Tensorflow Activation Functions: Coursera
  • Çok deÄŸiÅŸkenli Fonksiyon II: Uygulamalar / Multivariable Calculus II: Applications: Koç University

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