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  • Regularization Techniques

Results for "regularization techniques"


  • Status: Free Trial
    Free Trial
    C

    Coursera

    B2B and Territory Sales Strategies and Techniques

    Skills you'll gain: Sales Territory Management, B2B Sales, Regional Sales, Selling Techniques, Sales Management, Consultative Selling, Sales, Sales Strategy, Sales Training, Market Analysis, Sales Process, Market Research, Competitive Intelligence, Customer Relationship Management, Negotiation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    115 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Linear Regression with R: Build & Optimize

    Skills you'll gain: Regression Analysis, Statistical Methods, Data Visualization, Statistical Modeling, Feature Engineering, Predictive Modeling, Data Validation, Data Analysis, R Programming, Supervised Learning, Statistical Hypothesis Testing

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    D

    Dartmouth College

    Machine Learning with Neural Networks

    Skills you'll gain: Bayesian Network, Artificial Neural Networks, Deep Learning, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Applied Machine Learning, Machine Learning Algorithms, Network Architecture, Algorithms, Probability Distribution

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

    Skills you'll gain: Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Performance Tuning, Artificial Neural Networks, Applied Machine Learning, Supervised Learning, Machine Learning Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    63K reviews

    Intermediate · Course · 1 - 4 Weeks

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

    Coursera

    Advanced Machine Learning Techniques

    Skills you'll gain: Data Processing

    Intermediate · Course · 1 - 3 Months

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

    Coursera

    Foundations of Machine Learning

    Skills you'll gain: Supervised Learning, Unsupervised Learning, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Feature Engineering, Dimensionality Reduction, Machine Learning, Predictive Modeling, Predictive Analytics, Scikit Learn (Machine Learning Library), Forecasting, Data Processing, Anomaly Detection, Data Manipulation, Regression Analysis, Statistical Modeling, Data Transformation, Data Cleansing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    How to Sell: An Overview of Fundamental Selling Techniques

    Skills you'll gain: Cold Calling, Selling Techniques, Closing (Sales), Overcoming Objections, Sales Presentation, Sales, Sales Process, Sales Prospecting, Lead Generation, Telephone Skills, Customer Relationship Building, Active Listening, Communication Strategies, Customer Engagement

    4.7
    Rating, 4.7 out of 5 stars
    ·
    248 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    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, System Support, Incident Management, Application Performance Management, Continuous Integration, Scripting

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

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    I

    Imperial College London

    Creative Thinking: Techniques and Tools for Success

    Skills you'll gain: Creative Thinking, Brainstorming, Ideation, Creativity, Cognitive flexibility, Problem Solving, Collaboration

    4.7
    Rating, 4.7 out of 5 stars
    ·
    5.1K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Pittsburgh

    Linear Algebra and Regression Fundamentals for Data Science

    Skills you'll gain: NumPy, Matplotlib, Linear Algebra, Pandas (Python Package), Data Manipulation, Applied Mathematics, Python Programming, Data Analysis, Data Science, Regression Analysis, Data Visualization Software, Mathematics and Mathematical Modeling, Probability & Statistics, Numerical Analysis, Mathematical Modeling, Machine Learning, Computational Logic, Logical Reasoning

    Build toward a degree

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Modern Video Editing Techniques

    Skills you'll gain: Video Editing, Storyboarding, Post-Production, Editing, Video Production, Animations, Writing and Editing, Typography

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    M

    Microsoft

    Intermediate C++ Programming Techniques

    Skills you'll gain: C++ (Programming Language), API Design, Software Architecture, Software Design, Maintainability, Data Structures, Data Validation, Performance Tuning, Generative AI, File Management, Debugging

    Beginner · Course · 1 - 3 Months

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

  • B2B and Territory Sales Strategies and Techniques: Coursera
  • Linear Regression with R: Build & Optimize: EDUCBA
  • Machine Learning with Neural Networks: Dartmouth College
  • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization: DeepLearning.AI
  • Advanced Machine Learning Techniques: Coursera
  • Foundations of Machine Learning: Coursera
  • How to Sell: An Overview of Fundamental Selling Techniques: Coursera
  • Troubleshooting and Debugging Techniques: Google
  • Creative Thinking: Techniques and Tools for Success: Imperial College London
  • Linear Algebra and Regression Fundamentals for Data Science: University of Pittsburgh

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