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  • 介绍 Azure机器学习的基本原理

Results for "介绍 azure 机器学习的基本原理"


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

    Coursera

    Content Creation and Copywriting

    Skills you'll gain: Infographics, Storyboarding, Canva (Software), Prompt Engineering, Copywriting, Generative AI, Content Creation, Blogs, Marketing Psychology, Marketing Communications, Collaborative Software, ChatGPT, Marketing, Online Advertising, Graphic Design, Writing and Editing, Brand Awareness, Artificial Intelligence, Search Engine Optimization, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    763 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Smart Analytics, Machine Learning, and AI on Google Cloud

    Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Unstructured Data, Applied Machine Learning, Data Pipelines, Big Data, Machine Learning, Jupyter, Artificial Intelligence

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.2K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning Operations (MLOps): Getting Started

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Cloud Management, DevOps, Continuous Deployment, CI/CD, Machine Learning, Automation, Data Pipelines, Version Control

    4
    Rating, 4 out of 5 stars
    ·
    476 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    AI Applications in Marketing and Finance

    Skills you'll gain: AI Personalization, Fraud detection, Big Data, Credit Risk, Risk Management, Customer Insights, Machine Learning, Marketing Analytics, Advanced Analytics, Data-Driven Decision-Making, Consumer Behaviour, Customer experience improvement, Artificial Intelligence, Financial Analysis, Retail Banking, Business Transformation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    469 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    TensorFlow: Data and Deployment

    Skills you'll gain: Extract, Transform, Load, Data Pipelines, Image Analysis, Data Import/Export, Tensorflow, iOS Development, Application Deployment, Android Development, Data Processing, Computer Vision, MLOps (Machine Learning Operations), Swift Programming, Keras (Neural Network Library), Feature Engineering, Mobile Development, Data Integration, Data Transformation, Deep Learning, Javascript, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.5K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    AI Fundamentals for Non-Data Scientists

    Skills you'll gain: Generative AI, Data Management, Big Data, Machine Learning Algorithms, Machine Learning, Tensorflow, Artificial Intelligence, Deep Learning, Algorithms, Process Optimization, Data Analysis, Artificial Neural Networks, Natural Language Processing

    4.8
    Rating, 4.8 out of 5 stars
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    927 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Introduction to Generative AI

    Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, OpenAI, Multimodal Prompts, Large Language Modeling, LLM Application, Responsible AI, Natural Language Processing, GitHub, Python Programming, Machine Learning, Application Programming Interface (API)

    4.5
    Rating, 4.5 out of 5 stars
    ·
    179 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Text Retrieval and Search Engines

    Skills you'll gain: Text Mining, Natural Language Processing, Data Mining, Unstructured Data, Big Data, Web Scraping, Machine Learning Algorithms, Web Analytics and SEO, Machine Learning, Information Architecture, Statistical Methods

    4.5
    Rating, 4.5 out of 5 stars
    ·
    961 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Sample-based Learning Methods

    Skills you'll gain: Reinforcement Learning, Sampling (Statistics), Machine Learning Algorithms, Simulations, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Algorithms, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.3K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Machine Learning Foundations for Product Managers

    Skills you'll gain: Deep Learning, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Decision Tree Learning, Computer Vision, Supervised Learning, Natural Language Processing, Random Forest Algorithm, Data Science, Predictive Analytics, Algorithms, Performance Metric

    4.7
    Rating, 4.7 out of 5 stars
    ·
    688 reviews

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 繁體中文

    Skills you'll gain: Generative AI, Continuous Monitoring, Google Cloud Platform, MLOps (Machine Learning Operations), Predictive Modeling, Data Validation, Machine Learning, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Data Quality

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Google Cloud

    Introduction to Responsible AI - 简体中文

    Skills you'll gain: Responsible AI, Artificial Intelligence, Business Ethics, Governance, AI Product Strategy

    Beginner · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular 介绍 azure 机器学习的基本原理 courses

  • Content Creation and Copywriting: Coursera
  • Smart Analytics, Machine Learning, and AI on Google Cloud: Google Cloud
  • Machine Learning Operations (MLOps): Getting Started: Google Cloud
  • AI Applications in Marketing and Finance: University of Pennsylvania
  • TensorFlow: Data and Deployment: DeepLearning.AI
  • AI Fundamentals for Non-Data Scientists: University of Pennsylvania
  • Introduction to Generative AI: Duke University
  • Text Retrieval and Search Engines: University of Illinois Urbana-Champaign
  • Sample-based Learning Methods: University of Alberta
  • Machine Learning Foundations for Product Managers: Duke University

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