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  • Spatial Data Analysis

Results for "spatial data analysis"


  • D

    DeepLearning.AI

    Build Basic Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative Model Architectures, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Convolutional Neural Networks, Responsible AI, Artificial Neural Networks, Data Ethics, Unsupervised Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Introduction to Trading, Machine Learning & GCP

    Skills you'll gain: Machine Learning Methods, Model Evaluation, Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Applied Machine Learning, Supervised Learning, Time Series Analysis and Forecasting, Financial Trading, Deep Learning, Statistical Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Securities Trading, Technical Analysis, Cloud Platforms, Model Deployment, Predictive Modeling, Financial Forecasting, Finance

    4
    Rating, 4 out of 5 stars
    ·
    897 reviews

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Design and Apply Generative AI for HR Performance

    Skills you'll gain: Prompt Engineering, ChatGPT, Responsible AI, Generative AI, Human Resources Management and Planning, AI Product Strategy, AI Personalization, LLM Application, AI Enablement, Employee Coaching, HR Tech, Coaching, Performance Metric, Artificial Intelligence, AI Security, Constructive Feedback, Change Management, Capacity Management, Business Ethics, Ethical Standards And Conduct

    Beginner · Specialization · 1 - 3 Months

  • D

    DeepLearning.AI

    Advanced Computer Vision with TensorFlow

    Skills you'll gain: Computer Vision, Tensorflow, Image Analysis, Transfer Learning, Convolutional Neural Networks, Keras (Neural Network Library), Deep Learning, Classification Algorithms, Model Evaluation, Visualization (Computer Graphics), Network Architecture

    4.7
    Rating, 4.7 out of 5 stars
    ·
    533 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    Universidad Nacional Autónoma de México

    Estadística y probabilidad

    Skills you'll gain: Descriptive Statistics, Data Analysis, Correlation Analysis, Statistical Analysis, Data Presentation, Statistical Visualization, Probability, Histogram, Data-Driven Decision-Making, Regression Analysis, Probability Distribution, Box Plots, Graphing, Scatter Plots

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.7K reviews

    Beginner · Course · 1 - 4 Weeks

  • G

    Google

    The Nuts and Bolts of Machine Learning

    Skills you'll gain: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Supervised Learning, Advanced Analytics, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Analytics, Random Forest Algorithm, Data Analysis, Predictive Modeling, Model Evaluation, Bayesian Network, Python Programming, Statistical Modeling, Classification Algorithms

    4.8
    Rating, 4.8 out of 5 stars
    ·
    610 reviews

    Advanced · Course · 1 - 3 Months

  • U

    Universidad de los Andes

    Fundamentals of Using Generative AI

    Skills you'll gain: Prompt Engineering, Generative AI, Large Language Modeling, Prompt Patterns, ChatGPT, LLM Application, Ideation, Responsible AI, Artificial Intelligence, AI Enablement, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Content Creation, Ethical Standards And Conduct, Complex Problem Solving

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Evaluate, Analyze, and Model Performance

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Probabilistic Graphical Models: A Compact Introduction

    Skills you'll gain: Bayesian Network, Predictive Modeling, Machine Learning Methods, Markov Model, Statistical Modeling, Artificial Intelligence, Statistical Inference, Graph Theory, Network Analysis, Probability & Statistics, Sampling (Statistics), Algorithms, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Alberta

    Fundamentals of Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Markov Model, Algorithms, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.9K reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Hands-on Agentic AI: Building Intelligent Agents

    Skills you'll gain: Model Context Protocol, Responsible AI, LangGraph, AI Orchestration, AI Workflows, LangChain, Agentic systems, System Monitoring, CrewAI, OpenAI API, Generative AI Agents, LLM Application, Tool Calling, Agentic Workflows, Compliance Management, Governance, AI Security, Continuous Monitoring, Artificial Intelligence, Enterprise Application Management

    2.3
    Rating, 2.3 out of 5 stars
    ·
    11 reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    ML Production Systems

    Skills you'll gain: Model Deployment, Unit Testing, MLOps (Machine Learning Operations), Test Driven Development (TDD), Software Testing, Scalability, Dashboard, Continuous Integration, Testability, Kubernetes, CI/CD, Performance Tuning, Software Engineering, PyTorch (Machine Learning Library), Docker (Software), Tensorflow, Containerization, Scikit Learn (Machine Learning Library), Git (Version Control System), Python Programming

    Intermediate · Specialization · 1 - 3 Months

1…202203204…834

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

  • Build Basic Generative Adversarial Networks (GANs): DeepLearning.AI
  • Introduction to Trading, Machine Learning & GCP: Google Cloud
  • Design and Apply Generative AI for HR Performance: EDUCBA
  • Advanced Computer Vision with TensorFlow: DeepLearning.AI
  • Estadística y probabilidad: Universidad Nacional Autónoma de México
  • The Nuts and Bolts of Machine Learning: Google
  • Fundamentals of Using Generative AI: Universidad de los Andes
  • Evaluate, Analyze, and Model Performance: Coursera
  • Probabilistic Graphical Models: A Compact Introduction: Coursera
  • Fundamentals of Reinforcement Learning: University of Alberta

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