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  • Regularization Techniques

Results for "regularization techniques"


  • M

    Microsoft

    Market Research and Competitive Analysis

    Skills you'll gain: Competitive Analysis, Market Research, Competitive Intelligence, Persona Development, Market Analysis, Market Opportunities, Business Research, AI Product Strategy, Consumer Behaviour, Target Market, Customer Insights, Data-Driven Decision-Making, Product Development, Product Strategy, Gap Analysis, Market Trend, Regulatory Requirements, Innovation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    47 reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    Universiteit Leiden

    Population Health: Responsible Data Analysis

    Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Regression Analysis, R Programming, Data Analysis, Descriptive Statistics, Statistical Methods, Probability & Statistics, Data Ethics, Data Collection, Exploratory Data Analysis, Statistical Reporting, Logistic Regression, Statistical Modeling, Data Cleansing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    45 reviews

    Beginner · Course · 1 - 3 Months

  • U

    University of New Mexico

    Curanderismo: Global & Cultural Influences of Traditional Healing

    Skills you'll gain: World Music, Cultural Sensitivity, Culture, Cultural Diversity, Maternal Health, Ancient History, Music, Health Care, Liberal Arts, Instrumental Music

    4.7
    Rating, 4.7 out of 5 stars
    ·
    42 reviews

    Beginner · Course · 1 - 3 Months

  • B

    Board Infinity

    Generative AI: Prompt Engineering Basics

    Skills you'll gain: Responsible AI, LLM Application, Model Evaluation, Scripting, Debugging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    75 reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Amsterdam

    Teaching in University Science Laboratories (Developing Best Practice)

    Skills you'll gain: Laboratory Experience, Laboratory Techniques, User Feedback, Experimentation, Research

    4.7
    Rating, 4.7 out of 5 stars
    ·
    146 reviews

    Intermediate · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    Algebra: Elementary to Advanced - Polynomials and Roots

    Skills you'll gain: Algebra, Advanced Mathematics, General Mathematics, Applied Mathematics, Analytical Skills, Mathematical Modeling, Geometry, Graphing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    173 reviews

    Beginner · Course · 1 - 3 Months

  • P

    Palo Alto Networks

    Palo Alto Networks Network Security Fundamentals

    Skills you'll gain: Zero Trust Network Access, Network Security, Endpoint Security, Network Administration, General Networking, TCP/IP, Cybersecurity, Network Infrastructure, Firewall, Virtual Private Networks (VPN), Network Protocols, Dynamic Host Configuration Protocol (DHCP), Encryption, Authentications, Network Analysis, Software As A Service

    4.7
    Rating, 4.7 out of 5 stars
    ·
    215 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Hot New Release
    Hot New Release
    M

    Microsoft

    Microsoft Generative AI Engineering

    Skills you'll gain: Generative AI, Responsible AI, Generative Model Architectures, Prompt Engineering, Multimodal Prompts, MLOps (Machine Learning Operations), Generative Adversarial Networks (GANs), Data Ethics, AI Orchestration, AI Workflows, Model Deployment, Azure DevOps, Microsoft Azure, ChatGPT, AI Security, AI Enablement, Model Evaluation, CI/CD, Artificial Intelligence and Machine Learning (AI/ML), Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    8 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • J

    Johns Hopkins University

    Applied Machine Learning

    Skills you'll gain: Computer Vision, Model Evaluation, PyTorch (Machine Learning Library), Supervised Learning, Unsupervised Learning, Image Analysis, Applied Machine Learning, Data Preprocessing, Dimensionality Reduction, Reinforcement Learning, Feature Engineering, Machine Learning Algorithms, Convolutional Neural Networks, Regression Analysis, Data Processing, Machine Learning, Data Mining, Data Cleansing, Deep Learning, Artificial Neural Networks

    3.6
    Rating, 3.6 out of 5 stars
    ·
    15 reviews

    Intermediate · Specialization · 3 - 6 Months

  • 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

    4.1
    Rating, 4.1 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 3 Months

  • L

    L&T EduTech

    BIM Coordination

    Skills you'll gain: Design Reviews, Autodesk Revit, Building Information Modeling, Visualization (Computer Graphics), Augmented and Virtual Reality (AR/VR), Engineering Analysis, Architectural Engineering, Coordination, Structural Engineering, Construction Management, Construction, Technical Standard

    4.6
    Rating, 4.6 out of 5 stars
    ·
    36 reviews

    Intermediate · Course · 1 - 3 Months

  • W

    Whizlabs

    Exam Prep (NCA-GENL): NVIDIA-Certified Generative AI LLMs

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Data Preprocessing, Convolutional Neural Networks, Plot (Graphics), Generative AI, Deep Learning, Unsupervised Learning, Model Evaluation, Natural Language Processing, Responsible AI, Time Series Analysis and Forecasting, Data Visualization, Transfer Learning, Supervised Learning, Data Ethics, Image Analysis, Recurrent Neural Networks (RNNs), Model Deployment, Embeddings

    4.6
    Rating, 4.6 out of 5 stars
    ·
    47 reviews

    Intermediate · Specialization · 3 - 6 Months

1…140141142…409

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

  • Market Research and Competitive Analysis: Microsoft
  • Population Health: Responsible Data Analysis: Universiteit Leiden
  • Curanderismo: Global & Cultural Influences of Traditional Healing : University of New Mexico
  • Generative AI: Prompt Engineering Basics: Board Infinity
  • Teaching in University Science Laboratories (Developing Best Practice): University of Amsterdam
  • Algebra: Elementary to Advanced - Polynomials and Roots: Johns Hopkins University
  • Palo Alto Networks Network Security Fundamentals: Palo Alto Networks
  • Microsoft Generative AI Engineering: Microsoft
  • Applied Machine Learning: Johns Hopkins University
  • Introduction to Neural Networks: Johns Hopkins University

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