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  • 介绍 Azure上自然语言处理 Nlp工作负载的特点

Results for "介绍 azure 上自然语言处理 (nlp) 工作负载的特点"


  • Status: Free Trial
    Free Trial
    P

    Packt

    Advanced PyTorch Techniques and Applications

    Skills you'll gain: PyTorch (Machine Learning Library), Natural Language Processing, Generative AI, Deep Learning, Dimensionality Reduction, Text Mining, Network Model, Unsupervised Learning, Supervised Learning, Google Cloud Platform, Machine Learning, Computer Vision, Flask (Web Framework), Application Deployment

    4.6
    Rating, 4.6 out of 5 stars
    ·
    16 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    T

    The University of Edinburgh

    Climate Change: Carbon Capture and Storage (Chinese)

    Skills you'll gain: Climate Change Mitigation, Energy and Utilities, Sustainable Technologies, Oil and Gas, Sustainable Development, Environmental Engineering, Economics, Environmental Policy, Environmental Science, Scientific Methods, Chemical Engineering, Research

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    G

    Google Cloud

    Encoder-Decoder Architecture - 简体中文

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Applied Machine Learning, Generative AI, Machine Learning Methods, Deep Learning, Natural Language Processing

    Advanced · Course · 1 - 4 Weeks

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

    Packt

    Managing Hybrid Storage, File Services and Network

    Skills you'll gain: Windows Servers, Active Directory, Remote Access Systems, Virtual Private Networks (VPN), Network Security, Microsoft Azure, Dynamic Host Configuration Protocol (DHCP), Microsoft Windows, Hybrid Cloud Computing, Data Storage Technologies, Network Administration, Cloud Storage, Wide Area Networks, File Management, File Systems, TCP/IP, System Configuration

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Probabilistic Deep Learning with TensorFlow 2

    Skills you'll gain: Tensorflow, Generative Model Architectures, Deep Learning, Image Analysis, Bayesian Statistics, Artificial Neural Networks, Machine Learning, Unsupervised Learning, Probability & Statistics, Dimensionality Reduction

    4.7
    Rating, 4.7 out of 5 stars
    ·
    109 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Virtualization, Docker, and Kubernetes for Data Engineering

    Skills you'll gain: Site Reliability Engineering, Docker (Software), Containerization, Kubernetes, Virtualization, Devops Tools, Microservices, Application Deployment, Virtual Machines, Cloud Development, Database Management, GitHub, Cloud-Based Integration, Scalability

    3.9
    Rating, 3.9 out of 5 stars
    ·
    42 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    I

    Intel

    An Introduction to Practical Deep Learning

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Computer Vision, Machine Learning Methods, Generative AI, Natural Language Processing, Scalability, Reinforcement Learning, Network Architecture, Performance Tuning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    150 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Generative AI for Data Scientists

    Skills you'll gain: Generative AI, Microsoft Copilot, Natural Language Processing, Data Quality, Anomaly Detection, Data Storytelling, Technical Communication, Responsible AI, Data Visualization, Data Ethics, Data-Driven Decision-Making, Interactive Data Visualization, Data Pipelines, Data Cleansing, Data Visualization Software, Data Analysis, Data Science, Data Security, Data Synthesis, Critical Thinking

    4.6
    Rating, 4.6 out of 5 stars
    ·
    62 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Customising your models with TensorFlow 2

    Skills you'll gain: Tensorflow, Data Pipelines, Keras (Neural Network Library), Deep Learning, Natural Language Processing, Data Processing, Artificial Neural Networks, Time Series Analysis and Forecasting, Data Transformation, Performance Tuning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    194 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Social Media Analytics

    Skills you'll gain: Social Network Analysis, Network Analysis, Data Visualization, Graph Theory, Relational Databases, Data Visualization Software, Data Storytelling, Data Analysis, Database Theory, Exploratory Data Analysis, Social Sciences, Statistical Analysis, Machine Learning, R Programming, Analytics, Sociology, Natural Language Processing, Data Manipulation, Text Mining, Statistical Modeling

    4.3
    Rating, 4.3 out of 5 stars
    ·
    16 reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Deep Learning for Real Estate Price Prediction

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Tensorflow, Machine Learning Methods, Applied Machine Learning, Data Processing, Feature Engineering, Property and Real Estate, Predictive Modeling, Data Cleansing, Performance Analysis, Machine Learning, Real Estate, Regression Analysis, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    23 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • G

    Google Cloud

    透過 Agentspace 加速交流知識

    Skills you'll gain: Google Gemini, Workflow Management, System Configuration, AWS Identity and Access Management (IAM)

    Beginner · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular 介绍 azure 上自然语言处理 (nlp) 工作负载的特点 courses

  • Advanced PyTorch Techniques and Applications: Packt
  • Climate Change: Carbon Capture and Storage (Chinese): The University of Edinburgh
  • Encoder-Decoder Architecture - 简体中文: Google Cloud
  • Managing Hybrid Storage, File Services and Network: Packt
  • Probabilistic Deep Learning with TensorFlow 2: Imperial College London
  • Virtualization, Docker, and Kubernetes for Data Engineering: Duke University
  • An Introduction to Practical Deep Learning: Intel
  • Generative AI for Data Scientists: Microsoft
  • Customising your models with TensorFlow 2: Imperial College London
  • Social Media Analytics: Johns Hopkins University

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