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  • Regularization Methods

Results for "regularization methods"


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    P

    Peking University

    Bioinformatics: Introduction and Methods 生物信息学: 导论与方法

    Skills you'll gain: Bioinformatics, Biotechnology, Molecular Biology, Computational Thinking, Predictive Modeling, Data Analysis Software, Biology, Data Processing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    284 reviews

    Mixed · Course · 3 - 6 Months

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    P

    Peking University

    Nursing Research: Principles and Methods(护理研究:基本原理与方法)

    Skills you'll gain: Nursing, Science and Research, Clinical Research, Scientific Methods, Clinical Research Ethics, Medical Science and Research, Biostatistics, Epidemiology

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    K

    Koç University

    Doğrusal Cebir II: Kare Matrisler, Hesaplama Yöntemleri ve Uygulamalar / Linear Algebra II: Square Matrices, Calculation Methods and Applications

    Skills you'll gain: Applied Mathematics, Linear Algebra, Differential Equations, Advanced Mathematics, Algebra, Mathematical Modeling, Mathematical Theory & Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    27 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    G

    Google

    Google Data Analytics

    Skills you'll gain: Data Storytelling, Rmarkdown, Data Literacy, Data Visualization, Data Presentation, Data Ethics, Data Cleansing, Data Validation, Ggplot2, R (Software), Tableau Software, Sampling (Statistics), Presentations, Spreadsheet Software, Data Analysis, LinkedIn, Object Oriented Programming (OOP), Data Structures, Interviewing Skills, Applicant Tracking Systems

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    181K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Statistics with Python

    Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Statistical Modeling, Statistical Methods, Statistical Inference, Bayesian Statistics, Data Visualization, Plot (Graphics), Data Literacy, Statistics, Matplotlib, Statistical Software, Probability & Statistics, Model Evaluation, Seaborn, Statistical Analysis, Jupyter, Statistical Programming, Statistical Machine Learning, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
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    3.3K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Preview
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    J

    Johns Hopkins University

    Introduction to Systematic Review and Meta-Analysis

    Skills you'll gain: Clinical Research, Qualitative Research, Data Synthesis, Scientific Methods, Research Methodologies, Data Collection, Quantitative Research, Risk Analysis, Statistical Methods, Statistical Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.6K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    Y

    Yale University

    Understanding Medical Research: Your Facebook Friend is Wrong

    Skills you'll gain: Research Design, Medical Science and Research, Statistical Methods, Statistics, Data Literacy, Research Methodologies, Scientific Methods, Clinical Research, Medical Terminology

    4.9
    Rating, 4.9 out of 5 stars
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    2.2K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Introduction to Generative AI

    Skills you'll gain: Generative AI, Google Cloud Platform, Artificial Intelligence, Machine Learning Methods

    4.7
    Rating, 4.7 out of 5 stars
    ·
    10K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    G

    Google

    Google Cybersecurity

    Skills you'll gain: Threat Modeling, Network Security, Threat Management, Vulnerability Management, Intrusion Detection and Prevention, Hardening, Computer Security Incident Management, Security Management, Cyber Attacks, Incident Response, Cybersecurity, Network Protocols, Threat Detection, Cloud Security, Bash (Scripting Language), Debugging, Linux, Interviewing Skills, Python Programming, SQL

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    63K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM DevOps and Software Engineering

    Skills you'll gain: Cloud Deployment, CI/CD, Software Development Life Cycle, Open Web Application Security Project (OWASP), Continuous Integration, Istio, Linux Commands, Software Architecture, Agile Software Development, Scrum (Software Development), Cloud Computing Architecture, Application Deployment, Test Driven Development (TDD), Restful API, Git (Version Control System), DevOps, Grafana, Software Engineering, Data Import/Export, Application Development

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    64K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Machine Learning with Python

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Machine Learning, Dimensionality Reduction, Decision Tree Learning, Python Programming, Logistic Regression, Classification Algorithms, Feature Engineering

    4.7
    Rating, 4.7 out of 5 stars
    ·
    18K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Data Science Fundamentals with Python and SQL

    Skills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Data Presentation, Statistics, Data Visualization, Statistical Methods, Relational Databases, Stored Procedure, Data Import/Export, Data Science, Programming Principles, Computer Programming Tools, Web Scraping, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    75K reviews

    Beginner · Specialization · 3 - 6 Months

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

  • Bioinformatics: Introduction and Methods 生物信息学: 导论与方法: Peking University
  • Nursing Research: Principles and Methods(护理研究:基本原理与方法): Peking University
  • Doğrusal Cebir II: Kare Matrisler, Hesaplama Yöntemleri ve Uygulamalar / Linear Algebra II: Square Matrices, Calculation Methods and Applications: Koç University
  • Google Data Analytics: Google
  • Statistics with Python: University of Michigan
  • Introduction to Systematic Review and Meta-Analysis: Johns Hopkins University
  • Understanding Medical Research: Your Facebook Friend is Wrong: Yale University
  • Introduction to Generative AI : Google Cloud
  • Google Cybersecurity: Google
  • IBM DevOps and Software Engineering: IBM

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