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  • 教学法

Results for "教学法"


  • G

    Google Cloud

    App Deployment, Debugging, and Performance - 日本語版

    Skills you'll gain: Cloud-Native Computing, Cloud Applications, Cloud Development, Application Deployment, Google Cloud Platform, Infrastructure as Code (IaC), Containerization, Docker (Software), Application Performance Management, Platform As A Service (PaaS), Kubernetes, Cloud Computing, Continuous Deployment, Serverless Computing, Performance Tuning, Debugging

    Intermediate · Course · 1 - 3 Months

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

    University of Glasgow

    6G Deployment: Testbeds, Antenna Systems & Digital Twins

    Skills you'll gain: Wireless Networks, Emerging Technologies, Communication Systems, Digital Communications, Internet Of Things, Augmented and Virtual Reality (AR/VR), Telecommunications, Network Architecture, Software-Defined Networking, Zero Trust Network Access, Interoperability, Electronics Engineering, Network Planning And Design, Distributed Computing, Development Testing, Electrical Engineering, Artificial Intelligence and Machine Learning (AI/ML), Information Technology, Machine Learning, Trustworthiness

    Intermediate · Course · 1 - 4 Weeks

  • C

    Clemson University

    Applied Data Science

    Skills you'll gain: Dimensionality Reduction, Data Cleansing, Matplotlib, Regression Analysis, Unsupervised Learning, Data Science, Statistical Analysis, Anomaly Detection, Descriptive Statistics, Data Analysis, Data Visualization Software, Pandas (Python Package), Exploratory Data Analysis, Predictive Modeling, Machine Learning, Supervised Learning

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Introduction to AI and Machine Learning on GC - Français

    Skills you'll gain: Google Cloud Platform, Google Gemini, Generative AI, MLOps (Machine Learning Operations), Cloud Infrastructure, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Machine Learning, Predictive Modeling, Natural Language Processing

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    N

    Northeastern University

    Statistical Learning for Engineering Part 1

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Statistical Programming, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Probability & Statistics, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

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

    University of Pittsburgh

    Probability Theory and Regression for Predictive Analytics

    Skills you'll gain: Probability Distribution, Data Science, Probability & Statistics, Predictive Analytics, Probability, Statistical Modeling, Data Analysis, Regression Analysis, Statistical Analysis, Statistical Methods, Statistical Machine Learning, Bayesian Statistics, Statistical Inference, Feature Engineering, Applied Mathematics, Python Programming, Machine Learning, Algorithms

    Build toward a degree

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Colorado Boulder

    컴퓨터 비전 분야에서의 딥 러닝 응용 사례

    Skills you'll gain: Image Analysis, Tensorflow, Computer Vision, Deep Learning, Machine Learning, Artificial Neural Networks, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Computer Graphics, Network Architecture

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    RNN Architecture and Sentiment Classification

    Skills you'll gain: PyTorch (Machine Learning Library), Text Mining, Artificial Neural Networks, Natural Language Processing, Deep Learning, Applied Machine Learning, Network Architecture, Time Series Analysis and Forecasting, Machine Learning, Data Processing

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    Master Machine Learning with TensorFlow: Basics to Advanced

    Skills you'll gain: Tensorflow, Scikit Learn (Machine Learning Library), Machine Learning, Feature Engineering, Deep Learning, Matplotlib, Jupyter, Python Programming, Data Processing, NumPy, Data Cleansing, Image Analysis, Artificial Neural Networks, Seaborn, Development Environment, Pandas (Python Package), Regression Analysis

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    NLP – Machine Learning Models in Python

    Skills you'll gain: Dimensionality Reduction, Text Mining, Applied Machine Learning, Statistical Machine Learning, Supervised Learning, Unsupervised Learning, Python Programming, Machine Learning, Predictive Modeling, Regression Analysis, Algorithms

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    G

    Google Cloud

    生成 AI: 基本概念の理解

    Skills you'll gain: Responsible AI, Generative AI, Large Language Modeling, Google Cloud Platform, Unstructured Data, Artificial Intelligence, Application Security, Data Modeling, Data Quality, Data Access, Machine Learning, Business Solutions

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    G

    Google Cloud

    IA générative : découvrir les concepts fondamentaux

    Skills you'll gain: Responsible AI, Generative AI, Large Language Modeling, Google Cloud Platform, AI Product Strategy, Data Modeling, Artificial Intelligence, Unstructured Data, Machine Learning, Data Quality, Data Security

    Beginner · Course · 1 - 4 Weeks

1…959697…112

In summary, here are 10 of our most popular 教学法 courses

  • App Deployment, Debugging, and Performance - 日本語版: Google Cloud
  • 6G Deployment: Testbeds, Antenna Systems & Digital Twins: University of Glasgow
  • Applied Data Science: Clemson University
  • Introduction to AI and Machine Learning on GC - Français: Google Cloud
  • Statistical Learning for Engineering Part 1: Northeastern University
  • Probability Theory and Regression for Predictive Analytics: University of Pittsburgh
  • 컴퓨터 비전 분야에서의 딥 러닝 응용 사례: University of Colorado Boulder
  • RNN Architecture and Sentiment Classification: Packt
  • Master Machine Learning with TensorFlow: Basics to Advanced: EDUCBA
  • NLP – Machine Learning Models in Python: Packt

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