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    Results for "embeddings"

    • Stanford University

      Probabilistic Graphical Models

      Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Statistical Modeling, Bayesian Statistics, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Statistical Inference, Sampling (Statistics), Statistical Methods, Natural Language Processing, Algorithms, Computational Thinking

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

      Advanced · Specialization · 3 - 6 Months

    • IBM

      Generative AI: Foundation Models and Platforms

      Skills you'll gain: Generative AI, OpenAI, Large Language Modeling, Prompt Engineering, IBM Cloud, Google Cloud Platform, Artificial Intelligence, Artificial Neural Networks, Deep Learning, Natural Language Processing, Application Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      200 reviews

      Beginner · Course · 1 - 4 Weeks

    • IBM

      Generative AI Language Modeling with Transformers

      Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Large Language Modeling, Natural Language Processing, Text Mining, Deep Learning, Applied Machine Learning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      78 reviews

      Intermediate · Course · 1 - 4 Weeks

    • University of Michigan

      Python Data Structures

      Skills you'll gain: Data Structures, Python Programming, Programming Principles, Data Import/Export, Data Manipulation, Development Environment, File Management

      4.9
      Rating, 4.9 out of 5 stars
      ·
      97K reviews

      Beginner · Course · 1 - 3 Months

    • Google Cloud

      Build, Train and Deploy ML Models with Keras on Google Cloud

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Data Pipelines, MLOps (Machine Learning Operations), Application Deployment, Deep Learning, Artificial Neural Networks, Data Processing, Scalability, Applied Machine Learning, Machine Learning, Data Transformation

      4.4
      Rating, 4.4 out of 5 stars
      ·
      2.8K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free

      Edge Impulse

      Introduction to Embedded Machine Learning

      Skills you'll gain: Applied Machine Learning, Embedded Systems, Data Processing, Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Deep Learning, Feature Engineering, Performance Tuning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      719 reviews

      Intermediate · Course · 1 - 4 Weeks

    • DeepLearning.AI

      Natural Language Processing with Classification and Vector Spaces

      Skills you'll gain: Natural Language Processing, Supervised Learning, Dimensionality Reduction, Feature Engineering, Machine Learning Algorithms, Artificial Intelligence, Tensorflow, Linear Algebra, Probability & Statistics

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

      Intermediate · Course · 1 - 4 Weeks

    • Stanford University

      Probabilistic Graphical Models 1: Representation

      Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Applied Machine Learning, Natural Language Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.4K reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free
      Free

      Google Cloud

      Introduction to Image Generation

      Skills you'll gain: Generative AI, Google Cloud Platform, Image Analysis, Deep Learning, Unsupervised Learning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      175 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New

      Packt

      Harnessing LLMs & Text-Embeddings API with Google Vertex AI

      Skills you'll gain: Google Cloud Platform, Applied Machine Learning, Large Language Modeling, Generative AI, Cloud API, Text Mining, Machine Learning Software, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Unstructured Data, Prompt Engineering, Application Programming Interface (API), Unsupervised Learning, Data Visualization, Scientific Visualization, Dimensionality Reduction, Development Environment

      Intermediate · Course · 1 - 3 Months

    • Google Cloud

      Vector Search and Embeddings - 한국어

      Skills you'll gain: Large Language Modeling, Application Development, Cloud Applications, API Gateway, Google Cloud Platform, Applied Machine Learning, Natural Language Processing, Scalability

      Intermediate · Course · 1 - 4 Weeks

    • Google Cloud

      Recommendation Systems on Google Cloud

      Skills you'll gain: Reinforcement Learning, Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Deep Learning, Applied Machine Learning, Unsupervised Learning, Artificial Neural Networks, Feature Engineering, Predictive Modeling, Data Processing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      478 reviews

      Advanced · Course · 1 - 3 Months

    Searches related to embeddings

    create embeddings, vector search, and rag with bigquery
    criar embeddings, pesquisa vetorial e rag com o bigquery
    nlp – embeddings & text preprocessing in python
    crea embeddings, búsqueda de vectores y rag con bigquery
    créer des embeddings et utiliser la recherche vectorielle et le rag avec bigquery
    vector databases: from embeddings to applications
    vector search and embeddings
    vector search and embeddings - bahasa indonesia
    1234…12

    In summary, here are 10 of our most popular embeddings courses

    • Probabilistic Graphical Models: Stanford University
    • Generative AI: Foundation Models and Platforms: IBM
    • Generative AI Language Modeling with Transformers: IBM
    • Python Data Structures: University of Michigan
    • Build, Train and Deploy ML Models with Keras on Google Cloud: Google Cloud
    • Introduction to Embedded Machine Learning: Edge Impulse
    • Natural Language Processing with Classification and Vector Spaces: DeepLearning.AI
    • Probabilistic Graphical Models 1: Representation: Stanford University
    • Introduction to Image Generation: Google Cloud
    • Harnessing LLMs & Text-Embeddings API with Google Vertex AI: Packt

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