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  • Spatial Data Analysis

Results for "spatial data analysis"


  • Status: New
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    C

    Coursera

    Optimize AI: Build Reusable Model Pipelines

    Skills you'll gain: Model Deployment, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Large Language Modeling, Version Control

    Intermediate · Course · 1 - 4 Weeks

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

    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

  • Status: New
    New
    Status: Free Trial
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    E

    EDUCBA

    Master Ethical AI: Analyze, Evaluate & Lead Responsibly

    Skills you'll gain: Data Ethics, Responsible AI, AI Security, Business Ethics, Artificial Intelligence, Information Privacy, Ethical Standards And Conduct, Regulatory Requirements, Emerging Technologies, Strategic Leadership, Accountability, Diversity and Inclusion, Stakeholder Engagement

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
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    Coursera

    Partition & Monitor AI Models Effectively

    Skills you'll gain: MLOps (Machine Learning Operations), Data Integrity, Data Quality, Data Maintenance, System Monitoring, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning Foundations: A Case Study Approach

    Skills you'll gain: Applied Machine Learning, Model Evaluation, AI Personalization, Machine Learning, Regression Analysis, Deep Learning, Predictive Modeling, Supervised Learning, Feature Engineering, Data Preprocessing, Image Analysis, Python Programming, Unsupervised Learning, Natural Language Processing, Text Mining, Classification Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Mathematics for Machine Learning: Linear Algebra

    Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Jupyter, Algorithms, Python Programming, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
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    13K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning on Google Cloud

    Skills you'll gain: Feature Engineering, Tensorflow, Model Deployment, Google Cloud Platform, MLOps (Machine Learning Operations), Embeddings, Machine Learning, Keras (Neural Network Library), Model Evaluation, Data Preprocessing, Generative AI, Applied Machine Learning, Data Cleansing, Data Quality, AI Enablement, Data Management, Supervised Learning, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Cloud Computing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    3.8K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Discover the Art of Prompting

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Model Evaluation, Content Creation

    4.9
    Rating, 4.9 out of 5 stars
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    2K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
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    Coursera

    Systematic ML Optimization

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Configuration Management, Image Analysis, Multimodal Prompts, Debugging, Experimentation, Computer Vision, Theoretical Computer Science, Data Visualization, Deep Learning, Visualization (Computer Graphics), Algorithms, Performance Tuning, Tensorflow, Failure Mode And Effects Analysis, Risk Analysis, Root Cause Analysis, Machine Learning, Performance Analysis

    Intermediate · Specialization · 3 - 6 Months

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

    University of Colorado Boulder

    Introduction to Deep Learning

    Skills you'll gain: Recurrent Neural Networks (RNNs), Keras (Neural Network Library), Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Vision Transformer (ViT), Large Language Modeling, Embeddings, Network Architecture

    Intermediate · Course · 1 - 3 Months

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

    EDUCBA

    Master Ethical & AI-Driven Market Decision-Making

    Skills you'll gain: Data Ethics, Responsible AI, Business Ethics, Strategic Decision-Making, Data Management, Strategic Thinking, Information Privacy, Market Research, Ethical Standards And Conduct, Governance, Strategic Leadership, Artificial Intelligence, Market Analysis, Diversity and Inclusion, Regulatory Requirements, Social Studies

    Beginner · Course · 1 - 4 Weeks

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

    Coursera

    Evaluate AI Risks: Adopt Smart Predictions

    Skills you'll gain: Model Evaluation, Data-Driven Decision-Making, Predictive Modeling, Risk Analysis, Strategic Decision-Making, Performance Metric, Technical Communication

    Beginner · Course · 1 - 4 Weeks

1…175176177…834

In summary, here are 10 of our most popular spatial data analysis courses

  • Optimize AI: Build Reusable Model Pipelines: Coursera
  • Automate, Evaluate and Deploy ML Models Confidently: Coursera
  • Master Ethical AI: Analyze, Evaluate & Lead Responsibly: EDUCBA
  • Partition & Monitor AI Models Effectively: Coursera
  • Machine Learning Foundations: A Case Study Approach: University of Washington
  • Mathematics for Machine Learning: Linear Algebra: Imperial College London
  • Machine Learning on Google Cloud: Google Cloud
  • Discover the Art of Prompting: Google
  • Systematic ML Optimization: Coursera
  • Introduction to Deep Learning: University of Colorado Boulder

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