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  • Ml Algorithms

Results for "ml algorithms"


  • C

    Coursera

    Parse & Normalize Data for ML Pipelines

    Skills you'll gain: Data Preprocessing, Data Pipelines, Java Programming, Java, Data Processing, Feature Engineering, Data Import/Export, Data Cleansing, Data Quality, Model Training, Data Transformation, Data Validation, Data Integrity, Data Access, Continuous Monitoring, Apache Maven, Object Oriented Programming (OOP)

    Intermediate · Course · 1 - 4 Weeks

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

    Whizlabs

    Azure AI & ML: Optimize Language Models for AI Applications

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Optimization, Microsoft Azure, Prompt Engineering, Model Training, Cloud Deployment, Retrieval-Augmented Generation, Prompt Patterns, Prompt Engineering Tools, Model Evaluation, AI Workflows, Data Pipelines, Fine-tuning, Continuous Monitoring, Data Preprocessing

    Intermediate · Course · 1 - 4 Weeks

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

    Google Cloud

    Machine Learning Operations (MLOps) with Vertex AI: Manage Features

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Data Modeling, Google Cloud Platform, Feature Engineering, Model Training, Data Store, Data Preprocessing, Data Processing, Data Management, Data Storage Technologies

    ★ 4.1 (16) · Intermediate · Course · 1 - 4 Weeks

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

    Google Cloud

    Machine Learning Operations (MLOps): Getting Started - Français

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Cloud Management, DevOps, Application Lifecycle Management, Devops Tools, AI Workflows, Applied Machine Learning, Cloud Deployment, Automation

    Intermediate · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • D

    Duke University

    Cloud Machine Learning Engineering and MLOps

    Skills you'll gain: MLOps (Machine Learning Operations), Continuous Delivery, Applied Machine Learning, Cloud Engineering, Google Cloud Platform, Model Deployment, Cloud Applications, Cloud Development, Cloud API, Cloud Deployment, Artificial Intelligence, Machine Learning, Microsoft Azure, AI Workflows, Software Engineering, Computer Vision, Application Programming Interface (API), Natural Language Processing, Flask (Web Framework)

    ★ 4.5 (91) · Intermediate · Course · 1 - 4 Weeks

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

    CertNexus

    Build Decision Trees, SVMs, and Artificial Neural Networks

    Skills you'll gain: Classification And Regression Tree (CART), Convolutional Neural Networks, Random Forest Algorithm, Recurrent Neural Networks (RNNs), Decision Tree Learning, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Predictive Modeling, Supervised Learning, Computer Vision, Classification Algorithms, Model Training, Natural Language Processing

    ★ 4.9 (14) · Intermediate · Course · 1 - 3 Months

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

    Google Cloud

    Machine Learning Operations (MLOps): Getting Started - Português Brasileiro

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Google Cloud Platform, Model Deployment, Model Training, Cloud Management, Application Lifecycle Management, DevOps, Applied Machine Learning, Continuous Deployment, Devops Tools, CI/CD, Automation

    Intermediate · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Harden AI: Secure Your ML Pipelines

    Skills you'll gain: AI Security, Vulnerability Scanning, Hardening, DevSecOps, Vulnerability Assessments, Responsible AI, Identity and Access Management, MLOps (Machine Learning Operations), Cyber Governance, Infrastructure Security, Application Security, Security Controls, CI/CD, Continuous Monitoring, AI Personalization, Resilience, Compliance Management, Anomaly Detection, Data Integrity, Engineering

    Intermediate · Course · 1 - 4 Weeks

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

    Coursera

    Apply SOLID Design to Optimize Java ML

    Skills you'll gain: Apache Maven, Maintainability, Java Programming, Gradle, Software Design, Software Architecture, Software Design Patterns, Build Tools, Object Oriented Design, Object Oriented Programming (OOP), Machine Learning Methods, Integration Testing, Dependency Analysis, User Interface (UI) Design, Design Strategies, Design Elements And Principles, Program Evaluation, Automation

    Advanced · Course · 1 - 4 Weeks

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

    Coursera

    Optimize Java Memory for ML Performance

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Containerization, Model Optimization, Performance Tuning, Memory Management, Docker (Software), Java, Java Programming, Artificial Intelligence and Machine Learning (AI/ML), Analysis, Data Structures

    Advanced · Course · 1 - 4 Weeks

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

    Coursera

    Test & Debug Java ML Pipelines

    Skills you'll gain: JUnit, MLOps (Machine Learning Operations), CI/CD, Continuous Integration, Jenkins, Test Automation, Unit Testing, DevOps, Development Testing, Debugging, Code Coverage, Test Engineering, Data Pipelines

    Advanced · Course · 1 - 4 Weeks

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

    CertNexus

    Solve Business Problems with AI and Machine Learning

    Skills you'll gain: Data Ethics, Responsible AI, Compliance Training, Regulatory Compliance, Model Training, Business Ethics, Compliance Management, Applied Machine Learning, Project Implementation, AI Product Strategy, Machine Learning Software, Business Solutions, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning, Machine Learning Methods, Ethical Standards And Conduct, Model Evaluation, AI literacy, Data-Driven Decision-Making

    ★ 4.4 (122) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
1…8910…233

In summary, here are 10 of our most popular ml algorithms courses

  • Parse & Normalize Data for ML Pipelines: Coursera
  • Azure AI & ML: Optimize Language Models for AI Applications: Whizlabs
  • Machine Learning Operations (MLOps) with Vertex AI: Manage Features: Google Cloud
  • Machine Learning Operations (MLOps): Getting Started - Français: Google Cloud
  • Cloud Machine Learning Engineering and MLOps: Duke University
  • Build Decision Trees, SVMs, and Artificial Neural Networks: CertNexus
  • Machine Learning Operations (MLOps): Getting Started - Português Brasileiro: Google Cloud
  • Harden AI: Secure Your ML Pipelines: Coursera
  • Apply SOLID Design to Optimize Java ML: Coursera
  • Optimize Java Memory for ML Performance: Coursera

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