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  • Creating Models With Different Algorithms

Results for "creating models with different algorithms"


  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Advanced Algorithms and Complexity

    Skills you'll gain: Algorithms, Network Routing, Graph Theory, Theoretical Computer Science, Network Analysis, Computer Science, Big Data, Python Programming, Model Optimization

    4.6
    Rating, 4.6 out of 5 stars
    ·
    701 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Virginia

    Coding Data Models with AI

    Skills you'll gain: Model View Controller, Integrated Development Environments, Data Modeling, Data Store, Database Development, Database Design, Software Development Tools, NoSQL, Database Architecture and Administration, OpenAI API, LLM Application, Application Programming Interface (API), AI Enablement, OpenAI, ChatGPT, Version Control, Infrastructure Architecture, Artificial Intelligence, AI literacy, Restful API

    Beginner · Course · 1 - 4 Weeks

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

    Microsoft

    Core generative models and techniques

    Skills you'll gain: Generative AI, Generative Model Architectures, MLOps (Machine Learning Operations), Generative Adversarial Networks (GANs), Model Deployment, Model Evaluation, Microsoft Azure, Model Training, PyTorch (Machine Learning Library), Deep Learning, Time Series Analysis and Forecasting, Tensorflow, Image Analysis, Forecasting, Prototyping

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Create Machine Learning Models in Microsoft Azure

    Skills you'll gain: Unsupervised Learning, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Convolutional Neural Networks, Exploratory Data Analysis, Deep Learning, Microsoft Azure, Data Visualization, Classification Algorithms, Applied Machine Learning, Regression Analysis, Predictive Modeling, Data Analysis, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Model Training, Transfer Learning, Databricks, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    331 reviews

    Intermediate · Course · 1 - 4 Weeks

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

    Coursera

    Build & Adapt LLM Models with Confidence

    Skills you'll gain: Model Deployment, LLM Application, Fine-tuning, Large Language Modeling, System Monitoring, Open Web Application Security Project (OWASP), Scalability, Generative Model Architectures, Hugging Face, Continuous Monitoring, AI Integrations, Load Balancing, Performance Tuning, Application Deployment, Model Optimization, Transfer Learning, AI Security, Applied Machine Learning, Application Security, API Design

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    SAS

    Modeling Time Series and Sequential Data

    Skills you'll gain: Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), SAS (Software), Forecasting, Regression Analysis, Machine Learning Methods, Applied Machine Learning, Statistical Analysis, Statistical Methods, Data Analysis Software, Predictive Modeling, Statistical Modeling, Statistical Software, Bayesian Statistics, Model Evaluation

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Data Modeling, Transformation, and Serving

    Skills you'll gain: Data Modeling, Data Transformation, Data Processing, Data Warehousing, Data Preprocessing, Apache Hadoop, Extract, Transform, Load, Data Pipelines, Apache Spark, Feature Engineering, PySpark, Star Schema, Real Time Data

    4.5
    Rating, 4.5 out of 5 stars
    ·
    95 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Pearson

    Quick Start Guide to Large Language Models (LLMs): Unit 2

    Skills you'll gain: Prompt Engineering, Fine-tuning, LLM Application, OpenAI API, Model Optimization, Large Language Modeling, Embeddings, OpenAI, Responsible AI, Cost Management, Artificial Intelligence

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    F

    Fred Hutchinson Cancer Center

    Practical Steps for Building Fair AI Algorithms

    Skills you'll gain: ChatGPT, Responsible AI, Generative AI, Data Ethics, Algorithms, LLM Application, Artificial Intelligence, Predictive Modeling, AI literacy, Predictive Analytics, Machine Learning, Decision Intelligence, Ethical Standards And Conduct, Record Keeping, Data Collection, Diversity Awareness, Model Evaluation, Case Studies

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Building, Evaluating, and Operationalizing ML Models

    Skills you'll gain: Model Evaluation, Model Training, Model Optimization, Model Deployment, Data Preprocessing, AI Workflows, Fine-tuning, Classification Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Simplilearn

    LLM Fine-Tuning and Customization Training

    Skills you'll gain: Fine-tuning, LLM Application, LangChain, Model Optimization, Responsible AI, Large Language Modeling, Model Deployment, OpenAI, Data Preprocessing, Model Training, Model Evaluation, Reinforcement Learning

    Beginner · Course · 1 - 4 Weeks

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

    Coursera

    Build Robust Java ML Models with Entropy

    Skills you'll gain: Model Evaluation, Model Deployment, Model Training, Decision Tree Learning, Data Preprocessing, Java Programming, Classification Algorithms, Predictive Modeling, Random Forest Algorithm, Applied Machine Learning, Java, Program Evaluation, Machine Learning Methods, Machine Learning Algorithms, Machine Learning, Algorithms, Program Implementation, Business Development

    Advanced · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular creating models with different algorithms courses

  • Advanced Algorithms and Complexity: University of California San Diego
  • Coding Data Models with AI: University of Virginia
  • Core generative models and techniques: Microsoft
  • Create Machine Learning Models in Microsoft Azure: Microsoft
  • Build & Adapt LLM Models with Confidence: Coursera
  • Modeling Time Series and Sequential Data: SAS
  • Data Modeling, Transformation, and Serving: DeepLearning.AI
  • Quick Start Guide to Large Language Models (LLMs): Unit 2: Pearson
  • Practical Steps for Building Fair AI Algorithms: Fred Hutchinson Cancer Center
  • Building, Evaluating, and Operationalizing ML Models: Packt

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