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  • Creating Models With Different Algorithms

Results for "creating models with different algorithms"


  • C

    Coursera

    Building a Business Presence With Facebook Marketing

    Skills you'll gain: Facebook, Drive Engagement, Online Advertising, Advertising, Social Media Marketing, Social Media, Marketing, Customer Engagement, Social Media Management, Business Marketing, Target Audience

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.3K reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Glasgow

    Explainable deep learning models for healthcare - CDSS 3

    Skills you'll gain: Autoencoders, Model Evaluation, Deep Learning, Healthcare 5.0, Recurrent Neural Networks (RNNs), Applied Machine Learning, Time Series Analysis and Forecasting, Machine Learning, Convolutional Neural Networks, Responsible AI, Electocardiography, Artificial Neural Networks

    4.6
    Rating, 4.6 out of 5 stars
    ·
    15 reviews

    Intermediate · Course · 1 - 4 Weeks

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

    Pearson

    Introduction to Transformer Models for NLP: Unit 1

    Skills you'll gain: PyTorch (Machine Learning Library), Transfer Learning, Natural Language Processing, Large Language Modeling, Generative Model Architectures, Embeddings

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    D

    Duke University

    Beginning Llamafile for Local Large Language Models (LLMs)

    Skills you'll gain: LLM Application, Large Language Modeling, Model Deployment, Embeddings, Application Programming Interface (API), Restful API, Natural Language Processing, Command-Line Interface, Machine Learning

    Beginner · Course · 1 - 4 Weeks

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

    Pearson

    Quick Start Guide to Large Language Models (LLMs)

    Skills you'll gain: Prompt Engineering, Large Language Modeling, LLM Application, Retrieval-Augmented Generation, ChatGPT, Natural Language Processing, Generative AI Agents, OpenAI API, Model Deployment, Embeddings, Transfer Learning, Generative Model Architectures, Multimodal Prompts, Generative AI, Cloud Deployment, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), AI Personalization, Cost Management, Machine Learning

    Intermediate · Specialization · 1 - 4 Weeks

  • Status: Free
    Free
    T

    The Chinese University of Hong Kong

    离散优化算法篇 Solving Algorithms for Discrete Optimization

    Skills you'll gain: Operations Research, Applied Mathematics, Algorithms, Mathematical Modeling, Combinatorics, Computational Logic, Advanced Mathematics, Performance Tuning, Theoretical Computer Science, Simulations, Linear Algebra

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Natural Language Processing - Deep Learning Models in Python

    Skills you'll gain: Recurrent Neural Networks (RNNs), Embeddings, Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Python Programming, Classification Algorithms, Data Preprocessing, Model Evaluation

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Linear Models for Data Science 1: Least Squares

    Skills you'll gain: Regression Analysis, Statistical Modeling, R Programming, Linear Algebra, Data Science, Mathematical Modeling, Data Modeling, Statistics, Statistical Analysis, Applied Mathematics, General Mathematics, Derivatives

    4.5
    Rating, 4.5 out of 5 stars
    ·
    190 reviews

    Advanced · Course · 1 - 3 Months

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

    Pearson

    Introduction to Transformer Models for NLP: Unit 2

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Natural Language Processing, Generative AI, Transfer Learning, Embeddings, Data Preprocessing, Model Evaluation

    Intermediate · Course · 1 - 4 Weeks

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

    Pearson

    Introduction to Transformer Models for NLP: Unit 3

    Skills you'll gain: Vision Transformer (ViT), Model Deployment, Transfer Learning, Hugging Face, MLOps (Machine Learning Operations), Cloud Deployment, Large Language Modeling, Computer Vision, Image Analysis, Natural Language Processing, Application Deployment

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Create a Resume and Cover Letter with Google Docs

    Skills you'll gain: Google Docs, Document Management, Productivity Software, Writing, Business Writing, File Management, Personal Development

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.5K reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    I

    IE Business School

    From Brand to Image: Creating High Impact Campaigns That Tell Brand Stories

    Skills you'll gain: Production Planning, Advertising Campaigns, Advertising, Brand Strategy, Marketing Design, Branding, Creative Design, Proposal Development, Storytelling, Production Process, Marketing Communications, Photography, Presentations, Brainstorming, Campaign Management, Creativity, Value Propositions, Target Audience

    4.7
    Rating, 4.7 out of 5 stars
    ·
    277 reviews

    Beginner · Course · 1 - 3 Months

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

  • Building a Business Presence With Facebook Marketing: Coursera
  • Explainable deep learning models for healthcare - CDSS 3: University of Glasgow
  • Introduction to Transformer Models for NLP: Unit 1: Pearson
  • Beginning Llamafile for Local Large Language Models (LLMs): Duke University
  • Quick Start Guide to Large Language Models (LLMs): Pearson
  • 离散优化算法篇 Solving Algorithms for Discrete Optimization: The Chinese University of Hong Kong
  • Natural Language Processing - Deep Learning Models in Python: Packt
  • Advanced Linear Models for Data Science 1: Least Squares: Johns Hopkins University
  • Introduction to Transformer Models for NLP: Unit 2: Pearson
  • Introduction to Transformer Models for NLP: Unit 3: Pearson

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