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  • Integration Of Ml In Ids

Results for "integration of ml in ids"


  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Perform data science with Azure Databricks

    Skills you'll gain: PySpark, Databricks, Apache Spark, MLOps (Machine Learning Operations), Microsoft Azure, Big Data, Data Processing, Deep Learning, Data Transformation, Model Deployment, Machine Learning Software, Model Evaluation, Machine Learning, Distributed Computing, Exploratory Data Analysis, Regression Analysis

    3.1
    Rating, 3.1 out of 5 stars
    ·
    79 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    Azure ML: Deploying, Managing, and Experimenting with Models

    Skills you'll gain: Model Deployment, Responsible AI, Microsoft Azure, MLOps (Machine Learning Operations), Data Management, Cloud Management, Cloud Deployment, Applied Machine Learning, Model Evaluation, Scalability, Data Preprocessing, Machine Learning, Performance Tuning, Feature Engineering, Machine Learning Algorithms

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    ML Algorithms

    Skills you'll gain: Machine Learning Algorithms, Image Analysis, Reinforcement Learning, Classification Algorithms, Forecasting, Algorithms, AWS SageMaker, Machine Learning, Supervised Learning, Unsupervised Learning, Predictive Modeling, Regression Analysis, Natural Language Processing

    3.7
    Rating, 3.7 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    B

    Board Infinity

    Java in Machine Learning

    Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Data Preprocessing, Model Deployment, Jenkins, Apache Mahout, AI Security, Applied Machine Learning, Classification Algorithms, Java, Continuous Deployment, Java Programming, Federated Learning, Artificial Intelligence, Model Evaluation, Deep Learning, Machine Learning, Spring Boot, Natural Language Processing, Reinforcement Learning

    Intermediate · Specialization · 1 - 3 Months

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

    Coursera

    Traverse Trees for ML with DFS & BFS

    Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Classification Algorithms, Java, Java Programming, Machine Learning Algorithms, Supervised Learning, Algorithms, Machine Learning, Data Structures, Software Engineering

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    MLOps Platforms: Amazon SageMaker and Azure ML

    Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Model Deployment, Exploratory Data Analysis, Data Pipelines, Amazon Web Services, Feature Engineering, Cloud Solutions, Model Evaluation, Data Preprocessing, Cloud Deployment, Data Analysis, Serverless Computing, Machine Learning, Python Programming

    3.7
    Rating, 3.7 out of 5 stars
    ·
    53 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Preview
    Preview
    D

    Duke University

    End to End LLMs with Azure

    Skills you'll gain: Retrieval-Augmented Generation, LLM Application, Model Deployment, Prompt Patterns, Microsoft Azure, OpenAI API, Large Language Modeling, OpenAI, Application Deployment, Embeddings, Application Programming Interface (API), Scalability

    2.5
    Rating, 2.5 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Retrieval Augmented Generation

    Skills you'll gain: Retrieval-Augmented Generation, Large Language Modeling, LLM Application, Development Environment, Multimodal Prompts, Tool Calling, Embeddings, Generative AI Agents, Vector Databases, User Interface (UI), Generative AI, AI Workflows, AI Personalization, Prompt Engineering, Data Visualization, Image Analysis, Application Development, Augmented Reality, Text Mining, Application Design

    4.5
    Rating, 4.5 out of 5 stars
    ·
    14 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    M

    Microsoft

    Multimodal and cross-modal AI integrations

    Skills you'll gain: Prompt Engineering, Multimodal Prompts, Generative AI, AI Workflows, AI Orchestration, Microsoft Azure, Computer Vision, Image Analysis, Solution Design, Application Programming Interface (API)

    Intermediate · Course · 1 - 4 Weeks

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

    Coursera

    Secure, Optimize and Evaluate AI Integrations

    Skills you'll gain: API Testing, Performance Testing, IT Security Architecture, Cloud-Based Integration, Application Security, Vulnerability Management, System Monitoring

    Intermediate · Course · 1 - 4 Weeks

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

    EDUCBA

    AI Driven Machine Learning with Python

    Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Matplotlib, Feature Engineering, Time Series Analysis and Forecasting, Data Preprocessing, Jupyter, Image Analysis, Cloud Deployment, Scikit Learn (Machine Learning Library), Applied Machine Learning, Tensorflow, Amazon Web Services, Python Programming, Data Transformation, Logistic Regression, Machine Learning Methods, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Foundations of AI and Machine Learning

    Skills you'll gain: Model Deployment, Data Management, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, MLOps (Machine Learning Operations), Cloud Deployment, Artificial Intelligence, Data Security, Application Frameworks, Machine Learning, Data Preprocessing, Data Pipelines, Scalability

    4.6
    Rating, 4.6 out of 5 stars
    ·
    237 reviews

    Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular integration of ml in ids courses

  • Perform data science with Azure Databricks: Microsoft
  • Azure ML: Deploying, Managing, and Experimenting with Models: Whizlabs
  • ML Algorithms: Whizlabs
  • Java in Machine Learning: Board Infinity
  • Traverse Trees for ML with DFS & BFS: Coursera
  • MLOps Platforms: Amazon SageMaker and Azure ML: Duke University
  • End to End LLMs with Azure: Duke University
  • Retrieval Augmented Generation: Packt
  • Multimodal and cross-modal AI integrations: Microsoft
  • Secure, Optimize and Evaluate AI Integrations: Coursera

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