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  • Interpretable And Explainable Models

Results for "interpretable+and+explainable+models"


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    Duke University

    Explainable AI (XAI)

    Skills you'll gain: Responsible AI, Large Language Modeling, Data Ethics, Decision Tree Learning, AI Security, Regression Analysis, Generative AI, Artificial Intelligence, Predictive Modeling, AI Product Strategy, Statistical Modeling, Python Programming, Machine Learning, Model Evaluation, Applied Machine Learning, Logistic Regression, Machine Learning Methods, Deep Learning, Visualization (Computer Graphics), Data Literacy

    4.7
    Rating, 4.7 out of 5 stars
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    80 reviews

    Intermediate · Specialization · 1 - 3 Months

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    Coursera

    Engineer & Explain AI Model Decisions

    Skills you'll gain: Feature Engineering, Responsible AI, Model Evaluation, Technical Communication, Data Preprocessing, Data Transformation, Performance Analysis, Data Wrangling, Data Cleansing, Data Analysis, Predictive Modeling, Machine Learning, Embeddings, Artificial Intelligence, Decision Support Systems, Scikit Learn (Machine Learning Library), Pandas (Python Package), Debugging

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Analyze & Deploy Scalable LLM Architectures

    Skills you'll gain: Retrieval-Augmented Generation, Model Deployment, Kubernetes, Containerization, LLM Application, Application Deployment, Large Language Modeling, Release Management, MLOps (Machine Learning Operations), Cloud Deployment, Configuration Management, Continuous Delivery, Scalability, Application Performance Management, Performance Tuning, Performance Analysis, Infrastructure as Code (IaC), Performance Testing, Systems Analysis, Analysis

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Engineer AI Models: Explain, Tune & Experiment

    Skills you'll gain: Feature Engineering, Fraud detection, Jupyter, Program Management, Responsible AI, Model Evaluation, Project Management, Performance Improvement, Performance Metric, Business Analytics, Credit Risk, Performance Analysis, Performance Tuning, Machine Learning Methods, Test Planning, Test Engineering, Research Design, Technical Communication

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Analyze Multimodal AI for Business Insights

    Skills you'll gain: Multimodal Prompts, Data Presentation, Strategic Thinking, AI Enablement, Customer Insights, Large Language Modeling, Analytical Skills, Data Synthesis

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Interpret Analytics: Boost Engagement & Optimize Content

    Skills you'll gain: Content Performance Analysis, Web Analytics, Multimedia, Web Content, Drive Engagement, Content Marketing, Content Strategy, Content Development and Management, Analytics, Customer experience improvement, Search Engine Optimization, Performance Analysis, Data Analysis, Information Architecture, Process Improvement and Optimization, Data-Driven Decision-Making

    Beginner · Course · 1 - 4 Weeks

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    Stanford University

    Probabilistic Graphical Models

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Classification Algorithms, Machine Learning Methods, Statistical Inference, Sampling (Statistics), Statistical Methods, Algorithms, Regression Analysis, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
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    1.5K reviews

    Advanced · Specialization · 3 - 6 Months

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    Coursera

    Automate, Analyze, and Evaluate ML Experiments

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Key Performance Indicators (KPIs), Business Metrics, Performance Analysis, Performance Measurement, Responsible AI, Test Execution Engine, Performance Metric, Test Automation, Feature Engineering, Verification And Validation, Content Performance Analysis, Machine Learning, Data Ethics, Quality Assessment, Gap Analysis, Cost Benefit Analysis, Research Design, Quantitative Research

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Regression: Identify Assumptions & Apply Models

    Skills you'll gain: Regression Analysis, Financial Forecasting, Model Evaluation, Data Presentation, Technical Communication, Exploratory Data Analysis, Statistical Programming, R Programming, Statistical Modeling, Predictive Modeling, R (Software), Statistical Analysis, Verification And Validation, Plot (Graphics), Reliability

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Automate, Evaluate and Deploy ML Models Confidently

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Scalability, CI/CD, Continuous Deployment, Application Deployment, DevOps, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Continuous Integration, Performance Measurement, Business Metrics, Process Optimization, Verification And Validation, Automation, Key Performance Indicators (KPIs), Performance Analysis, Data-Driven Decision-Making

    Advanced · Course · 1 - 4 Weeks

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    Packt

    Ollama & DeepSeek Reasoning Model Masterclass

    Skills you'll gain: Deepseek, AI Workflows, LLM Application, Artificial Intelligence, Model Deployment, Large Language Modeling, Deep Learning, Software Installation, Development Environment, System Configuration, Code Review, Analysis

    Intermediate · Course · 1 - 3 Months

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    Pearson

    Introduction to Transformer Models for NLP

    Skills you'll gain: Vision Transformer (ViT), Prompt Engineering, PyTorch (Machine Learning Library), Model Deployment, Transfer Learning, Hugging Face, Natural Language Processing, MLOps (Machine Learning Operations), Large Language Modeling, Cloud Deployment, Computer Vision, Generative AI, Image Analysis, Application Deployment, Generative Model Architectures, Embeddings, Data Preprocessing, Model Evaluation

    Intermediate · Specialization · 1 - 4 Weeks

1234…9

In summary, here are 10 of our most popular interpretable+and+explainable+models courses

  • Explainable AI (XAI): Duke University
  • Engineer & Explain AI Model Decisions: Coursera
  • Analyze & Deploy Scalable LLM Architectures: Coursera
  • Engineer AI Models: Explain, Tune & Experiment: Coursera
  • Analyze Multimodal AI for Business Insights: Coursera
  • Interpret Analytics: Boost Engagement & Optimize Content: Coursera
  • Probabilistic Graphical Models: Stanford University
  • Automate, Analyze, and Evaluate ML Experiments: Coursera
  • Regression: Identify Assumptions & Apply Models: Coursera
  • Automate, Evaluate and Deploy ML Models Confidently: Coursera

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