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  • Regularization

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Results for "regularization"


  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Mathematics for Machine Learning: Multivariate Calculus

    Skills you'll gain: Regression Analysis, Calculus, Advanced Mathematics, Machine Learning Algorithms, Linear Algebra, Artificial Neural Networks, Mathematical Modeling, Python Programming, Derivatives

    4.7
    Rating, 4.7 out of 5 stars
    ·
    5.8K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Toronto

    State Estimation and Localization for Self-Driving Cars

    Skills you'll gain: Global Positioning Systems, Estimation, Robotics, Deep Learning, Machine Learning Methods, Computer Vision, Control Systems, Mathematical Modeling, Applied Mathematics, Linear Algebra

    4.7
    Rating, 4.7 out of 5 stars
    ·
    839 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Introduction to Neural Networks

    Skills you'll gain: Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Image Analysis, Machine Learning, Computer Vision, Model Evaluation, Supervised Learning, Algorithms, Statistical Methods, Linear Algebra, Probability

    4.5
    Rating, 4.5 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 3 Months

  • I

    IBM

    Specialized Models: Time Series and Survival Analysis

    Skills you'll gain: Time Series Analysis and Forecasting, Deep Learning, Statistical Analysis, Predictive Modeling, Statistical Methods, Forecasting, Data Preprocessing, Jupyter, Applied Machine Learning, Data Transformation, Model Evaluation, Pandas (Python Package), Unsupervised Learning, Dimensionality Reduction

    4.5
    Rating, 4.5 out of 5 stars
    ·
    139 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Calculus through Data & Modelling: Vector Calculus

    Skills you'll gain: Integral Calculus, Calculus, Data Integration, Vector Databases, Mathematical Theory & Analysis, Advanced Mathematics, Applied Mathematics, Mathematical Modeling, Spatial Data Analysis, Geometry, Physics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    48 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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

  • C

    Coursera

    Design and Build Custom Neural Networks

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors

    Skills you'll gain: Linear Algebra, Applied Mathematics, Algebra, Advanced Mathematics, Geometry, Data Transformation, Applied Machine Learning, Dimensionality Reduction, Markov Model, Probability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    76 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Supervised Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Decision Tree Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Feature Engineering, Random Forest Algorithm, Sampling (Statistics), Performance Metric

    4.8
    Rating, 4.8 out of 5 stars
    ·
    451 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

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Deep Learning with PyTorch

    Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Transfer Learning, Model Evaluation, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Data Visualization and Transformation with R

    Skills you'll gain: Exploratory Data Analysis, Ggplot2, Data Visualization Software, Tidyverse (R Package), Data Visualization, Version Control, Data Analysis, Statistical Methods, Data Wrangling, R Programming, GitHub, Data Transformation, Statistical Analysis, Git (Version Control System), Data Manipulation, Statistical Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    23 reviews

    Beginner · Course · 1 - 4 Weeks

1234…10

In summary, here are 10 of our most popular regularization courses

  • Mathematics for Machine Learning: Multivariate Calculus: Imperial College London
  • State Estimation and Localization for Self-Driving Cars: University of Toronto
  • Introduction to Neural Networks: Johns Hopkins University
  • Specialized Models: Time Series and Survival Analysis: IBM
  • Calculus through Data & Modelling: Vector Calculus: Johns Hopkins University
  • Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
  • Design and Build Custom Neural Networks: Coursera
  • Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors: Johns Hopkins University
  • Supervised Machine Learning: Classification: IBM
  • Calculus for Machine Learning and Data Science: DeepLearning.AI

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