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  • Regularization Techniques


Results for "regularization techniques"


  • G

    Google

    Troubleshooting and Debugging Techniques

    Skills you'll gain: Debugging, Technical Communication, Network Troubleshooting, Performance Tuning, Problem Management, Technical Documentation, Technical Support, System Monitoring, Incident Management, Application Performance Management, Continuous Integration, Continuous Monitoring, Linux Commands

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

    Beginner · Course · 1 - 4 Weeks

  • A

    Arizona State University

    Optical and X-Ray Characterization

    Skills you'll gain: Semiconductors, Analytical Testing, Laboratory Equipment, Materials science, Laboratory Testing, Analytical Chemistry, Laboratory Techniques

    4.8
    Rating, 4.8 out of 5 stars
    ·
    31 reviews

    Intermediate · Course · 1 - 3 Months

  • S

    Starweaver

    Threat Hunting Techniques

    Skills you'll gain: Cyber Threat Hunting, Splunk, Threat Detection, Jupyter, Anomaly Detection, Cybersecurity, Data Analysis, Data Science, Applied Machine Learning, Security Information and Event Management (SIEM), Pandas (Python Package), Interactive Data Visualization, Data Cleansing, Data Preprocessing, MLOps (Machine Learning Operations), Unsupervised Learning, Automation

    Intermediate · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    Data Analysis with Python Project

    Skills you'll gain: Classification Algorithms, Dimensionality Reduction, Data Analysis, Supervised Learning, Anomaly Detection, Machine Learning, Statistical Analysis, Unsupervised Learning, Data Mining, Analytics, Predictive Modeling, Model Evaluation, Regression Analysis, Exploratory Data Analysis, Project Planning, Feature Engineering

    5
    Rating, 5 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 3 Months

  • O

    O.P. Jindal Global University

    Supervised Learning and Its Applications in Marketing

    Skills you'll gain: Marketing Analytics, Supervised Learning, Customer Analysis, Customer Retention, Applied Machine Learning, Predictive Analytics, Marketing, Scikit Learn (Machine Learning Library), Marketing Strategies, Machine Learning, Model Deployment, Predictive Modeling, Python Programming, Personalized Service, Data Preprocessing, Model Evaluation

    Beginner · Course · 1 - 3 Months

  • C

    Columbia University

    3D Reconstruction - Multiple Viewpoints

    Skills you'll gain: Image Analysis, Computer Graphics, 3D Modeling, Virtual Reality, Computer Vision, Visualization (Computer Graphics), Mathematical Modeling, Linear Algebra

    4.6
    Rating, 4.6 out of 5 stars
    ·
    43 reviews

    Beginner · Course · 1 - 3 Months

  • S

    Simplilearn

    Supervised Learning Regression Classification Clustering

    Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Regression Analysis, Classification Algorithms, Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Decision Tree Learning, Predictive Analytics, Logistic Regression, Random Forest Algorithm, Bayesian Statistics

    Beginner · Course · 1 - 4 Weeks

  • L

    LearnQuest

    Machine Learning Models in Science

    Skills you'll gain: Data Preprocessing, Applied Machine Learning, Dimensionality Reduction, Data Cleansing, Scikit Learn (Machine Learning Library), Data Transformation, Artificial Neural Networks, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Supervised Learning, Classification Algorithms, Predictive Modeling, Python Programming

    4.1
    Rating, 4.1 out of 5 stars
    ·
    14 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Essential Causal Inference Techniques for Data Science

    Skills you'll gain: Regression Analysis, Data Science, Machine Learning Methods, R Programming, Statistical Inference, Applied Machine Learning, Machine Learning, Statistical Methods, Advanced Analytics, Data Analysis, Predictive Modeling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    39 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • P

    Packt

    Advanced ML Algorithms & Unsupervised Learning

    Skills you'll gain: Dimensionality Reduction, Unsupervised Learning, Deep Learning, Model Evaluation, Machine Learning Algorithms, Applied Machine Learning, Random Forest Algorithm, Feature Engineering, Artificial Neural Networks, Supervised Learning, Statistical Machine Learning, Anomaly Detection, Classification Algorithms, Performance Tuning

    Intermediate · Course · 1 - 3 Months

  • L

    L&T EduTech

    Geospatial Techniques for Engineers

    Skills you'll gain: Geospatial Information and Technology, Spatial Analysis, GIS Software, Spatial Data Analysis, Geographic Information Systems, Geospatial Mapping, Construction Engineering, Database Management, Construction, Construction Management, Architecture and Construction, Global Positioning Systems, Visualization (Computer Graphics), Civil and Architectural Engineering, Decision Support Systems, Building Information Modeling, Survey Creation, AutoCAD Civil 3D, Data Manipulation, Network Analysis

    4.3
    Rating, 4.3 out of 5 stars
    ·
    75 reviews

    Advanced · Specialization · 3 - 6 Months

  • B

    Board Infinity

    Advanced Hibernate Techniques

    Skills you'll gain: Hibernate (Java), Multi-Tenant Cloud Environments, Object-Relational Mapping, Spring Boot, Performance Tuning, Java, Data Modeling

    Intermediate · Course · 1 - 4 Weeks

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

  • Troubleshooting and Debugging Techniques: Google
  • Optical and X-Ray Characterization: Arizona State University
  • Threat Hunting Techniques: Starweaver
  • Data Analysis with Python Project : University of Colorado Boulder
  • Supervised Learning and Its Applications in Marketing: O.P. Jindal Global University
  • 3D Reconstruction - Multiple Viewpoints: Columbia University
  • Supervised Learning Regression Classification Clustering: Simplilearn
  • Machine Learning Models in Science: LearnQuest
  • Essential Causal Inference Techniques for Data Science: Coursera
  • Advanced ML Algorithms & Unsupervised Learning: Packt

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