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  • 国立台湾大学

Results for "国立台湾大学"


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

    University of Glasgow

    6G Evolution: Blockchain, Semantic Communications & Radar

    Skills you'll gain: Emerging Technologies, Generative AI, Communication Systems, Internet Of Things, Software-Defined Networking, Digital Communications, Network Architecture, Zero Trust Network Access, Artificial Intelligence and Machine Learning (AI/ML), Distributed Computing, Deep Learning, Artificial Intelligence, Information Technology, Health Technology, Electronics Engineering, Electrical Engineering, Machine Learning, Trustworthiness

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Introduction to Generative AI - Deutsch

    Skills you'll gain: Generative AI, LLM Application, Artificial Intelligence, Machine Learning

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Detect Labels, Faces, and Landmarks in Images with the Cloud Vision API

    Skills you'll gain: Image Analysis, Cloud API, Google Cloud Platform, Applied Machine Learning, Computer Vision, Application Programming Interface (API), Machine Learning

    Intermediate · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

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

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Feature Engineering, Data Pipelines, Google Cloud Platform, Deep Learning, Data Processing, Artificial Neural Networks, Application Deployment, Data Transformation, Scalability, Machine Learning, Application Programming Interface (API)

    3.4
    Rating, 3.4 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    G

    Google Cloud

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

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

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Feature Engineering en Français

    Skills you'll gain: Feature Engineering, Dataflow, Tensorflow, Data Processing, Data Transformation, Keras (Neural Network Library), Applied Machine Learning, Data Pipelines, Machine Learning, Data Modeling, Data Storage, Statistical Methods

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    N

    Northeastern University

    Machine Learning for Engineers: Algorithms and Applications

    Skills you'll gain: Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Unsupervised Learning, PyTorch (Machine Learning Library), Applied Machine Learning, Statistical Modeling, Machine Learning, Machine Learning Software, Statistical Analysis, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Algorithms, Predictive Modeling, Dimensionality Reduction, Complex Problem Solving

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Washington

    머신 러닝 기초: 사례 연구 접근 방식

    Skills you'll gain: Regression Analysis, Applied Machine Learning, Machine Learning, Deep Learning, Jupyter, Classification And Regression Tree (CART), Supervised Learning, Predictive Modeling, Predictive Analytics, Artificial Intelligence, Unsupervised Learning, Computer Vision, Text Mining, Natural Language Processing, Data Mining

    Mixed · Course · 1 - 3 Months

  • P

    Packt

    Alteryx Advanced

    Skills you'll gain: Data Cleansing, Data Manipulation, Advanced Analytics, Applied Machine Learning, Data Wrangling, Fraud detection, Data Transformation, Predictive Modeling, Data Processing, Machine Learning, Machine Learning Algorithms, Sampling (Statistics), Data Mining, Data Integration, Database Management, Workflow Management, Complex Problem Solving

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Washington

    머신 러닝: 회귀 모델

    Skills you'll gain: Regression Analysis, Supervised Learning, Predictive Modeling, Statistical Modeling, Statistical Methods, Machine Learning, Applied Machine Learning, Feature Engineering, Exploratory Data Analysis, Python Programming, Linear Algebra, Algorithms, Data Visualization

    Mixed · Course · 1 - 3 Months

  • C

    Coursera

    Predict Ad Clicks Using Logistic Regression and XG-Boost

    Skills you'll gain: Scikit Learn (Machine Learning Library), Data Visualization, Feature Engineering, Customer Analysis, Data Presentation, Predictive Modeling, Predictive Analytics, Marketing Analytics, Applied Machine Learning, Online Advertising, Data Cleansing, Data Manipulation, Advertising, Classification And Regression Tree (CART), Digital Advertising, Machine Learning Methods, Performance Analysis, Machine Learning, Python Programming, Deep Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    10 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • G

    Google Cloud

    Google Cloud Speech API: Qwik Start

    Skills you'll gain: Cloud API, Google Cloud Platform, Application Programming Interface (API), Natural Language Processing, Machine Learning, Application Development

    Beginner · Project · Less Than 2 Hours

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In summary, here are 10 of our most popular 国立台湾大学 courses

  • 6G Evolution: Blockchain, Semantic Communications & Radar: University of Glasgow
  • Introduction to Generative AI - Deutsch: Google Cloud
  • Detect Labels, Faces, and Landmarks in Images with the Cloud Vision API: Google Cloud
  • Build, Train and Deploy ML Models with Keras on Google Cloud - Français: Google Cloud
  • Build, Train and Deploy ML Models with Keras on Google Cloud - Español: Google Cloud
  • Feature Engineering en Français: Google Cloud
  • Machine Learning for Engineers: Algorithms and Applications: Northeastern University
  • 머신 러닝 기초: 사례 연구 접근 방식: University of Washington
  • Alteryx Advanced: Packt
  • 머신 러닝: 회귀 모델: University of Washington

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