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  • Transparency And Explainability In Ai

Results for "transparency and explainability in ai"


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    I

    IBM

    Python for Data Science, AI & Development

    Skills you'll gain: Data Import/Export, Programming Principles, Web Scraping, Python Programming, Jupyter, Data Structures, Data Processing, Pandas (Python Package), Data Manipulation, JSON, Computer Programming, Restful API, NumPy, Object Oriented Programming (OOP), Scripting, Application Programming Interface (API), Automation, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    43K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Capstone: Applying Project Management in the Real World

    Skills you'll gain: Requirements Analysis, Milestones (Project Management), Stakeholder Management, Performance Reporting, Project Management, Negotiation, Quality Management, Project Scoping, Stakeholder Analysis, Project Documentation, Project Planning, Interviewing Skills, Communication Strategies, Problem Solving

    4.9
    Rating, 4.9 out of 5 stars
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    13K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    Use AI as a Creative or Expert Partner

    Skills you'll gain: Prompt Engineering, Multimodal Prompts, Generative AI Agents, LLM Application, Large Language Modeling, Ideation, Solution Design

    4.8
    Rating, 4.8 out of 5 stars
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    1.6K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    M

    Microsoft

    Data Modeling in Power BI

    Skills you'll gain: Data Analysis Expressions (DAX), Data Modeling, Star Schema, Power BI, Database Design, Data Analysis, Data Transformation, Time Series Analysis and Forecasting, Performance Tuning, Data Visualization

    4.3
    Rating, 4.3 out of 5 stars
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    782 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Introduction to Data Science in Python

    Skills you'll gain: Pandas (Python Package), Data Manipulation, NumPy, Data Cleansing, Data Transformation, Data Science, Statistical Analysis, Pivot Tables And Charts, Data Analysis, Python Programming, Data Import/Export, Programming Principles

    4.5
    Rating, 4.5 out of 5 stars
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    27K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    I

    Imperial College London

    Introduction to Statistics & Data Analysis in Public Health

    Skills you'll gain: Analytical Skills, Sampling (Statistics), Statistical Hypothesis Testing, Data Literacy, R (Software), Data Analysis, R Programming, Statistics, Public Health, Statistical Inference, Descriptive Statistics, Probability Distribution, Data Import/Export

    4.7
    Rating, 4.7 out of 5 stars
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    1.5K reviews

    Beginner · Course · 1 - 4 Weeks

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    U

    University of Maryland, College Park

    Marketing in the Age of AI

    Skills you'll gain: Marketing, Marketing Strategies, Strategic Marketing, Marketing Operations, Marketing Effectiveness, MarTech, AI Personalization, Large Language Modeling, Generative AI, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Digital Advertising, Text Mining, Data Ethics, Brand Management, Responsible AI, Customer experience improvement, Customer Analysis, Information Privacy

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    Indian School of Business

    Trading Strategies in Emerging Markets

    Skills you'll gain: Financial Statements, Peer Review, Financial Statement Analysis, Financial Trading, Balance Sheet, Portfolio Management, Data Collection, Market Liquidity, Market Data, Investment Management, Financial Analysis, Performance Analysis, Market Dynamics, Project Design, Market Analysis, Financial Market, Business Planning, Securities Trading, Performance Measurement, Technical Analysis

    4.2
    Rating, 4.2 out of 5 stars
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    2.7K reviews

    Beginner · Specialization · 3 - 6 Months

  • D

    DeepLearning.AI

    Machine Learning in Production

    Skills you'll gain: MLOps (Machine Learning Operations), Application Deployment, Continuous Deployment, Software Development Life Cycle, Machine Learning, Applied Machine Learning, Data Validation, Feature Engineering, Data Quality, Continuous Monitoring, Data Pipelines

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    L

    LearnQuest

    Ethics in the Age of AI

    Skills you'll gain: Data Ethics, Responsible AI, Predictive Modeling, OpenAI, Algorithms, Data Collection, Machine Learning, Predictive Analytics, Information Privacy, Artificial Intelligence, Game Theory, Large Language Modeling, Ethical Standards And Conduct, Personally Identifiable Information, Statistical Modeling, Machine Learning Algorithms, Analytical Skills, Artificial Intelligence and Machine Learning (AI/ML), Analysis, Risk Modeling

    4.6
    Rating, 4.6 out of 5 stars
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    876 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
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    S

    SkillUp

    Building and Deploying GenAI Agents for Process Automation

    Skills you'll gain: Generative AI Agents, Automation, No-Code Development, Prompt Engineering, MLOps (Machine Learning Operations), Process Optimization, System Monitoring, Performance Analysis, Performance Management

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Introduction to Generative AI in Legal

    Skills you'll gain: Legal Technology, Responsible AI, Legal Strategy, Legal Research, Generative AI, Case Law, Predictive Analytics, Regulation and Legal Compliance, Artificial Intelligence, Legal Writing, Document Management, Ethical Standards And Conduct, Automation, Natural Language Processing

    4.3
    Rating, 4.3 out of 5 stars
    ·
    19 reviews

    Beginner · Course · 1 - 3 Months

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In summary, here are 10 of our most popular transparency and explainability in ai courses

  • Python for Data Science, AI & Development: IBM
  • Capstone: Applying Project Management in the Real World: Google
  • Use AI as a Creative or Expert Partner: Google
  • Data Modeling in Power BI: Microsoft
  • Introduction to Data Science in Python: University of Michigan
  • Introduction to Statistics & Data Analysis in Public Health: Imperial College London
  • Marketing in the Age of AI: University of Maryland, College Park
  • Trading Strategies in Emerging Markets: Indian School of Business
  • Machine Learning in Production: DeepLearning.AI
  • Ethics in the Age of AI: LearnQuest

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