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  • Machine Learning For Game Development

Results for "machine learning for game development"


  • E

    EDUCBA

    Apply Machine Learning for Predictive Business Analytics

    Skills you'll gain: Model Evaluation, Feature Engineering, Data Preprocessing, Demand Planning, Financial Data, Predictive Modeling, Customer Demand Planning, Data-Driven Decision-Making, Exploratory Data Analysis, R Programming, Customer Analysis, Predictive Analytics, Profit and Loss (P&L) Management, Inventory and Warehousing, Analytics, Data Processing, Data Wrangling, Advanced Analytics, Machine Learning, Business

    Beginner · Specialization · 1 - 3 Months

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

    Coursera

    AI Model Development & Deployment

    Skills you'll gain: Fine-tuning, Model Deployment, MLOps (Machine Learning Operations), AWS SageMaker, Software Documentation, Data Pipelines, AI Integrations, Tensorflow, Solution Architecture, Model Evaluation, Apache Airflow, Model Optimization, Systems Design, Transfer Learning, Unit Testing, PyTorch (Machine Learning Library), API Design, Cloud Computing, Network Architecture, Deep Learning

    Intermediate · Specialization · 1 - 3 Months

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • 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, Statistical Machine Learning, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Analytics, Model Training, Random Forest Algorithm, Model Optimization, Predictive Modeling, Model Evaluation, Python Programming, Performance Tuning, Classification Algorithms

    ★ 4.8 (617) · Advanced · Course · 1 - 3 Months

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

    Coursera

    Production AI Model Development and Ethics

    Skills you'll gain: Responsible AI, Model Deployment, Feature Engineering, MLOps (Machine Learning Operations), Model Training, Model Evaluation, Data Ethics, PyTorch (Machine Learning Library), Model Optimization, Scikit Learn (Machine Learning Library), Data Preprocessing, Data Pipelines, Deep Learning, Software Documentation, Technical Documentation

    Intermediate · Course · 1 - 4 Weeks

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

    Microsoft

    Generative AI for Software Developers

    Skills you'll gain: GitHub Copilot, Generative AI, Microsoft Copilot, Prompt Engineering, Test Case, Responsible AI, Microsoft Visual Studio, Version Control, Code Review, Data Ethics, GitHub, Prompt Patterns, Microsoft Development Tools, Integrated Development Environments, AI literacy, Software Versioning, AI Integrations, Risking, Software Development Tools, Project Management

    ★ 4.3 (195) · Intermediate · Specialization · 1 - 3 Months

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

    Packt

    Mastering Code Optimization and Customization with AI

    Skills you'll gain: AI Integrations, Infrastructure as Code (IaC), AI Personalization, Integrated Development Environments, Command-Line Interface, Shell Script, AI Workflows, AWS CloudFormation, Bash (Scripting Language), Prompt Engineering, Generative AI Agents, Terraform, Open Source Technology, AI Security, Computer Programming, Generative AI, Artificial Intelligence, Systems Administration

    Beginner · Course · 1 - 3 Months

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

    Board Infinity

    Applied Machine Learning Systems with FastAPI for Developers

    Skills you'll gain: Feature Engineering, Model Deployment, Data Preprocessing, Machine Learning Methods, Scikit Learn (Machine Learning Library), Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Test Script Development, Model Evaluation, Unsupervised Learning, Containerization, Data Processing, Data Wrangling, Unit Testing, Development Testing, Software Development, Python Programming, Application Programming Interface (API)

    Intermediate · Course · 1 - 4 Weeks

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

    Amazon Web Services

    Developing Machine Learning Solutions

    Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Model Training, Amazon Web Services, AI Workflows, Model Deployment, Machine Learning Methods, Machine Learning, Applied Machine Learning

    ★ 4.5 (117) · Beginner · Course · 1 - 4 Weeks

    Category: Free
    Free
    Category: Credit offered
    Credit offered
  • W

    Wesleyan University

    Machine Learning for Data Analysis

    Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Statistical Machine Learning, Predictive Modeling, Model Evaluation, Random Forest Algorithm, Applied Machine Learning, Predictive Analytics, Machine Learning Methods, Unsupervised Learning, Machine Learning Algorithms, Machine Learning, Data Analysis, Feature Engineering, Exploratory Data Analysis, Regression Analysis, Python Programming

    ★ 4.2 (328) · Mixed · Course · 1 - 4 Weeks

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

    Coursera

    Deploying and Debugging ML Microservices

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Microservices, Containerization, Application Deployment, Service Level, Debugging, Unit Testing, Software Testing, System Monitoring, Continuous Deployment, Docker (Software), Software Architecture, Kubernetes, Software Design, Restful API, Systems Architecture, Cloud Computing Architecture, Application Performance Management, Continuous Monitoring

    Intermediate · Course · 1 - 3 Months

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

    Packt

    Generative AI for Code Efficiency and Auto-Generation

    Skills you'll gain: Vibe coding, Prompt Engineering, Prompt Patterns, Generative AI Agents, Prompt Engineering Tools, Generative AI, AI Enablement, Code Review, Integrated Development Environments, LLM Application, Maintainability, AI Integrations, AI Workflows, Amazon Web Services, Artificial Intelligence, Computer Programming, Large Language Modeling, AWS CloudFormation, Airway Management, Building Codes

    Beginner · Course · 1 - 3 Months

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

    Coursera

    Building, Optimizing, and Validating Machine Learning Models

    Skills you'll gain: Model Training, Model Optimization, Model Evaluation, Machine Learning Software, Applied Machine Learning, Predictive Modeling, Machine Learning Methods, Feature Engineering, Workflow Management, Verification And Validation, Machine Learning, Supervised Learning, Statistical Machine Learning, Statistical Modeling, Scikit Learn (Machine Learning Library), Benchmarking, Random Forest Algorithm, Performance Analysis, Cost Management, Resource Utilization

    Intermediate · Course · 1 - 3 Months

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
1234…834

In summary, here are 10 of our most popular machine learning for game development courses

  • Apply Machine Learning for Predictive Business Analytics: EDUCBA
  • AI Model Development & Deployment: Coursera
  • The Nuts and Bolts of Machine Learning: Google
  • Production AI Model Development and Ethics: Coursera
  • Generative AI for Software Developers: Microsoft
  • Mastering Code Optimization and Customization with AI: Packt
  • Applied Machine Learning Systems with FastAPI for Developers: Board Infinity
  • Developing Machine Learning Solutions: Amazon Web Services
  • Machine Learning for Data Analysis: Wesleyan University
  • Deploying and Debugging ML Microservices: Coursera

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