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  • Regularization Methods

Results for "regularization+methods"


  • M

    MathWorks

    Advanced Deep Learning Techniques for Computer Vision

    Skills you'll gain: Model Deployment, Anomaly Detection, Image Analysis, Computer Vision, Model Training, Matlab, Generative AI, Deep Learning, Model Evaluation, Data Preprocessing, Interoperability

    ★ 4.9 (15) · Beginner · Course · 1 - 4 Weeks

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

    Coursera

    Advanced Machine Learning Techniques

    Skills you'll gain: Model Optimization, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Machine Learning Software, Model Training, Data Preprocessing, Data Processing, Hugging Face, Classification Algorithms

    Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • 2

    28DIGITAL

    Performance measures and validation methods

    Skills you'll gain: Model Evaluation, Supervised Learning, Machine Learning Methods, Statistical Methods, Applied Machine Learning, Statistical Machine Learning, Model Optimization, Statistical Modeling, Performance Testing, Machine Learning, Statistics, Predictive Modeling, Analysis, Verification And Validation, Statistical Analysis, Data Analysis, Data-Driven Decision-Making, Classification Algorithms

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Category: Credit offered
    Credit offered
  • J

    Johns Hopkins University

    Bioinformatics Methods for Transcriptomics

    Skills you'll gain: Bioinformatics, R (Software), Molecular Biology, Data Analysis Software, Statistical Analysis, Data Mapping, Molecular, Cellular, and Microbiology, Statistical Methods, Analysis, Command-Line Interface, Data Processing, Linux Commands, Linux

    Intermediate · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • T

    The Hong Kong University of Science and Technology

    Numerical Methods for Engineers

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

    ★ 4.9 (432) · Intermediate · Course · 1 - 3 Months

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

    Korea Advanced Institute of Science and Technology(KAIST)

    Applied Math for Materials Science and Engineering (Part 2)

    Skills you'll gain: Mathematical Modeling, Integral Calculus, Applied Mathematics, Engineering Analysis, Advanced Mathematics, Calculus, Mathematical Theory & Analysis, Differential Equations, Mechanics, Trigonometry, Engineering, Geometry, Electrical Engineering

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • U

    University of Michigan

    The Finite Element Method for Problems in Physics

    Skills you'll gain: Finite Element Methods, Engineering Analysis, Mathematical Software, Numerical Analysis, Mathematical Modeling, C++ (Programming Language), Structural Engineering, Computer Programming

    ★ 4.6 (564) · Intermediate · Course · 3 - 6 Months

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • U

    University of Toronto

    Bioinformatic Methods I

    Skills you'll gain: Life Sciences, Data Analysis, Microbiology, Analysis

    ★ 4.7 (1.8K) · Beginner · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • 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 (249) · Intermediate · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • L

    Ludwig-Maximilians-Universität München (LMU)

    Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python

    Skills you'll gain: Finite Element Methods, Numerical Analysis, Engineering Analysis, Jupyter, Differential Equations, Applied Mathematics, Mathematical Modeling, Distributed Computing, Integral Calculus, Simulation and Simulation Software, Python Programming, Mechanics, Simulations, Derivatives

    ★ 4.8 (391) · Intermediate · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • O

    O.P. Jindal Global University

    Statistical Methods and Data Analysis

    Skills you'll gain: Sampling (Statistics), Statistical Programming, Statistical Analysis, Probability Distribution, Data Visualization, Statistical Hypothesis Testing, Descriptive Statistics, Statistical Methods, Correlation Analysis, Regression Analysis, R (Software), R Programming, Probability & Statistics, Statistics, Statistical Modeling, Statistical Visualization, Statistical Inference, Classification And Regression Tree (CART), Probability, Big Data

    Mixed · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Build toward a degree
    Build toward a degree
  • D

    DeepLearning.AI

    Probability & Statistics for Machine Learning & Data Science

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Statistical Methods, Probability Distribution, Probability, Statistical Inference, Statistics, A/B Testing, Statistical Analysis, Statistical Machine Learning, Data Science, Exploratory Data Analysis, Correlation Analysis, Histogram, Statistical Visualization, Box Plots

    ★ 4.6 (685) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
1234…9

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

  • Advanced Deep Learning Techniques for Computer Vision: MathWorks
  • Advanced Machine Learning Techniques: Coursera
  • Performance measures and validation methods: 28DIGITAL
  • Bioinformatics Methods for Transcriptomics: Johns Hopkins University
  • Numerical Methods for Engineers: The Hong Kong University of Science and Technology
  • Applied Math for Materials Science and Engineering (Part 2): Korea Advanced Institute of Science and Technology(KAIST)
  • The Finite Element Method for Problems in Physics: University of Michigan
  • Bioinformatic Methods I: University of Toronto
  • Matrix Methods: University of Minnesota
  • Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python: Ludwig-Maximilians-Universität München (LMU)

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