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  • Intermediate Ruby Programming

Results for "intermediate ruby programming"


  • P

    Packt

    Deep Learning - Computer Vision for Beginners Using PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Computer Vision, NumPy, Matplotlib, Convolutional Neural Networks, Deep Learning, Pandas (Python Package), Image Analysis, Python Programming, Artificial Neural Networks, Data Manipulation

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    C

    Coursera

    GenAI for Data Scientists

    Skills you'll gain: Generative AI, Responsible AI, Data Ethics, Data Quality, Data Strategy, AI Enablement, Applied Machine Learning, Exploratory Data Analysis, Machine Learning, Machine Learning Methods

    4.6
    Rating, 4.6 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Pittsburgh

    Tableau, Networks & Time Series Data Visualization

    Skills you'll gain: Data Storytelling, Data Presentation, Interactive Data Visualization, Data Visualization Software, Data Visualization, Network Analysis, Tableau Software, Statistical Visualization, Network Model, Dashboard, Time Series Analysis and Forecasting, Matplotlib, Data Analysis, Seaborn, Graph Theory, Pandas (Python Package), Python Programming

    Build toward a degree

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Vim Masterclass

    Skills you'll gain: Unix Commands, Command-Line Interface, Graphical Tools, File Management, Software Development Tools, System Configuration, Computer Programming Tools, Development Environment, Configuration Management

    4.5
    Rating, 4.5 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 3 Months

  • 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, Applied Machine Learning, Statistical Analysis, Advanced Analytics, Predictive Modeling, Statistical Modeling, Bayesian Statistics, Model Evaluation

    Intermediate · Course · 1 - 3 Months

  • 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

  • G

    Google Cloud

    Build an AI Image Generator app using Imagen on Vertex AI

    Skills you'll gain: Generative AI, LLM Application, Prompt Engineering, Application Development, AI Enablement, Image Analysis, Google Cloud Platform

    Beginner · Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    S

    SAS

    AI Literacy: Responsible, Trustworthy, Effective

    Skills you'll gain: Generative AI, Retrieval-Augmented Generation, Large Language Modeling, Responsible AI, Data Ethics, Generative Adversarial Networks (GANs), Agentic systems, AI Security, Discussion Facilitation, Business Ethics, Embeddings, Regulatory Compliance, Case Studies, Data Synthesis, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, SAS (Software), AI Workflows, Analytics, Machine Learning

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Digital Trends: AI, Metaverse, Persuasive Tech & Blockchain

    Skills you'll gain: Digital Transformation, Blockchain, Data Ethics, Emerging Technologies, Artificial Intelligence, Digital Assets, Artificial Neural Networks, Social Media, Business Modeling, Web Development, Deep Learning, Persuasive Communication, Human Computer Interaction, Algorithms, Decision Making

    4.7
    Rating, 4.7 out of 5 stars
    ·
    18 reviews

    Beginner · Course · 1 - 4 Weeks

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

    Packt

    Deep Learning with TensorFlow

    Skills you'll gain: Recurrent Neural Networks (RNNs), Transfer Learning, Tensorflow, Artificial Neural Networks, Embeddings, Keras (Neural Network Library), Deep Learning, Time Series Analysis and Forecasting, Image Analysis, Classification Algorithms, Convolutional Neural Networks, Natural Language Processing, Computer Vision, Forecasting, Supervised Learning, Machine Learning Algorithms, Machine Learning, Predictive Analytics, Model Evaluation, Predictive Modeling

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Scrimba

    API Basics 2: Build a Blog (REST, URLs & HTTP Requests)

    Skills you'll gain: Restful API, Web Applications, Cascading Style Sheets (CSS), Application Programming Interface (API), Web Services, HTML and CSS, Back-End Web Development, JSON, Frontend Integration, Javascript, Software Development

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    How to Create Color Gradients in Adobe Illustrator

    Skills you'll gain: Graphic and Visual Design, Adobe Creative Cloud, Color Theory, Graphic Design, Logo Design, Digital Design

    4.5
    Rating, 4.5 out of 5 stars
    ·
    10 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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In summary, here are 10 of our most popular intermediate ruby programming courses

  • Deep Learning - Computer Vision for Beginners Using PyTorch: Packt
  • GenAI for Data Scientists: Coursera
  • Tableau, Networks & Time Series Data Visualization: University of Pittsburgh
  • Vim Masterclass: Packt
  • Modeling Time Series and Sequential Data: SAS
  • Beginning Llamafile for Local Large Language Models (LLMs): Duke University
  • Build an AI Image Generator app using Imagen on Vertex AI: Google Cloud
  • AI Literacy: Responsible, Trustworthy, Effective: SAS
  • Digital Trends: AI, Metaverse, Persuasive Tech & Blockchain: University of California, Davis
  • Deep Learning with TensorFlow: Packt

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