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  • Ml Explainability

Results for "ml explainability"


  • C

    Coursera

    Evaluate LLMs: Test and Prove Significance

    Skills you'll gain: Statistical Visualization, Model Evaluation, Data Presentation, Scientific Visualization, Statistical Hypothesis Testing, Model Deployment, Statistical Analysis, Statistical Software, Data Storytelling, Large Language Modeling, Statistical Methods, Data-Driven Decision-Making, Statistical Programming, Matplotlib, Statistical Inference, Statistics, Experimentation, Performance Metric

    Intermediate · Course · 1 - 4 Weeks

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

    Coursera

    Optimize and Manage Your ML Codebase

    Skills you'll gain: MLOps (Machine Learning Operations), Model Optimization, Version Control, Model Deployment, CI/CD, Git (Version Control System), Continuous Deployment, Performance Tuning, Continuous Integration, Software Versioning, Release Management, Continuous Delivery, Performance Testing, PyTorch (Machine Learning Library), Test Automation, Performance Improvement

    Intermediate · Course · 1 - 4 Weeks

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

    Coursera

    Interpretable Machine Learning Applications: Part 1

    Skills you'll gain: Model Training, Feature Engineering, Classification And Regression Tree (CART), Decision Tree Learning, Applied Machine Learning, Model Evaluation, Random Forest Algorithm, Responsible AI, Predictive Modeling, Data Preprocessing, Data Import/Export, Machine Learning, Classification Algorithms

    ★ 4.5 (98) · Beginner · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • C

    Coursera

    Measure ML Impact & Business Value

    Skills you'll gain: Experimentation, Business Metrics, Data Storytelling, Return On Investment, Model Evaluation, Storytelling, Dashboard Creation, Dashboard, Performance Measurement, Performance Metric, Key Performance Indicators (KPIs), A/B Testing, Performance Analysis, Analysis, Estimation, Product Management, Sampling (Statistics), Business, Stakeholder Communications, Power Electronics

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • G

    Google Cloud

    Responsible AI for Developers: Interpretability & Transparency

    Skills you'll gain: Responsible AI, AI literacy, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Artificial Intelligence, Model Evaluation

    ★ 4.7 (13) · Intermediate · Course · 1 - 4 Weeks

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

    Pragmatic AI Labs

    Production ML with Hugging Face

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Hugging Face, Model Optimization, Rust (Programming Language), CI/CD, LLM Application, Frontend Performance, AI Security, Performance Tuning, Applied Machine Learning, Large Language Modeling, Performance Testing, Cryptographic Protocols, Python Programming, Cryptography, Software Engineering

    Intermediate · Course · 1 - 4 Weeks

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

    Coursera

    Harden AI: Secure Your ML Pipelines

    Skills you'll gain: AI Security, Vulnerability Scanning, Hardening, DevSecOps, Vulnerability Assessments, Responsible AI, Identity and Access Management, MLOps (Machine Learning Operations), Cyber Governance, Infrastructure Security, Application Security, Security Controls, CI/CD, Continuous Monitoring, AI Personalization, Resilience, Compliance Management, Anomaly Detection, Data Integrity, Engineering

    Intermediate · Course · 1 - 4 Weeks

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

    CertNexus

    Solve Business Problems with AI and Machine Learning

    Skills you'll gain: Data Ethics, Responsible AI, Compliance Training, Regulatory Compliance, Model Training, Business Ethics, Compliance Management, Applied Machine Learning, Project Implementation, AI Product Strategy, Machine Learning Software, Business Solutions, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning, Machine Learning Methods, Ethical Standards And Conduct, Model Evaluation, AI literacy, Data-Driven Decision-Making

    ★ 4.4 (122) · Intermediate · Course · 1 - 4 Weeks

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

    Google Cloud

    Responsible AI for Developers: Interpretability & Transparency - Polski

    Skills you'll gain: AI literacy, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Model Training, Model Evaluation, Machine Learning, Model Deployment

    Intermediate · Course · 1 - 4 Weeks

    Category: Credit offered
    Credit offered
  • G

    Google Cloud

    Machine Learning in the Enterprise - 日本語版

    Skills you'll gain: Data Management, Data Governance, Metadata Management, Model Deployment, MLOps (Machine Learning Operations), Model Training, Model Optimization, Model Evaluation, AI Workflows, Forecasting, Google Cloud Platform, Enterprise Modeling, Workflow Management, Data Preprocessing, Machine Learning Methods, Data Pipelines, Predictive Analytics, Predictive Modeling, Machine Learning, Feature Engineering

    Intermediate · Course · 1 - 3 Months

    Category: Credit offered
    Credit offered
  • G

    Google Cloud

    Responsible AI for Developers: Interpretability & Transparency - 简体中文

    Skills you'll gain: Responsible AI, AI literacy, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Software, Machine Learning Methods, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

    Category: Credit offered
    Credit offered
  • C

    Coursera

    ML Concepts, Models & Workflow Essentials

    Skills you'll gain: Model Training, Java Programming, Java, Feature Engineering, Machine Learning Methods, Statistical Machine Learning, Machine Learning Algorithms, Deep Learning, Data Pipelines

    Advanced · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
1…789…117

In summary, here are 10 of our most popular ml explainability courses

  • Evaluate LLMs: Test and Prove Significance: Coursera
  • Optimize and Manage Your ML Codebase: Coursera
  • Interpretable Machine Learning Applications: Part 1: Coursera
  • Measure ML Impact & Business Value: Coursera
  • Responsible AI for Developers: Interpretability & Transparency: Google Cloud
  • Production ML with Hugging Face: Pragmatic AI Labs
  • Harden AI: Secure Your ML Pipelines: Coursera
  • Solve Business Problems with AI and Machine Learning: CertNexus
  • Responsible AI for Developers: Interpretability & Transparency - Polski: Google Cloud
  • Machine Learning in the Enterprise - 日本語版: Google Cloud

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