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  • 教学方法

Results for "教学方法"


  • Status: Preview
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    P

    Peking University

    Java程序设计

    Skills you'll gain: Java Programming, Java, Program Development, Object Oriented Programming (OOP), Programming Principles, Computer Programming, Object Oriented Design, Maintainability, C and C++, UI Components, Data Structures, Test Driven Development (TDD), User Interface (UI), JUnit, Application Programming Interface (API), Application Development, Algorithms, Debugging, Data Access, Event-Driven Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    209 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    G

    Google Cloud

    生成式 AI:不只是聊天机器人

    Skills you'll gain: Prompt Engineering, Responsible AI, Generative AI, AI Product Strategy, Google Cloud Platform, ChatGPT, Artificial Intelligence, Enterprise Architecture, Continuous Improvement Process

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Introduction to Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Feature Engineering, Regression Analysis, Dimensionality Reduction, Data Cleansing, Data Access, Data Analysis, Predictive Modeling, Statistical Inference, Statistical Hypothesis Testing, Data Quality, Data Science, Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Statistical Modeling, Applied Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.2K reviews

    Intermediate · Specialization · 3 - 6 Months

  • D

    DeepLearning.AI

    Machine Learning in Production

    Skills you'll gain: MLOps (Machine Learning Operations), Application Deployment, Continuous Deployment, Software Development Life Cycle, Machine Learning, Applied Machine Learning, Data Validation, Feature Engineering, Data Quality, Continuous Monitoring, Data Pipelines

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Preparing for Google Cloud Certification: Machine Learning Engineer

    Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Responsible AI, Generative AI, Tensorflow, Generative AI Agents, Google Cloud Platform, Dataflow, Keras (Neural Network Library), Exploratory Data Analysis, Machine Learning, Machine Learning Algorithms, Data Pipelines, Apache Airflow, Artificial Intelligence and Machine Learning (AI/ML), Real Time Data, Prompt Engineering, CI/CD, Cloud Infrastructure, Cloud Computing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    4.9K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Unsupervised Learning, Recommenders, Reinforcement Learning

    Skills you'll gain: Unsupervised Learning, Anomaly Detection, Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Deep Learning, Tensorflow, Keras (Neural Network Library), Supervised Learning, Dimensionality Reduction, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    5.4K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Architecting with Google Compute Engine 日本語版

    Skills you'll gain: Identity and Access Management, Prompt Engineering, Google Cloud Platform, Cloud Infrastructure, Platform As A Service (PaaS), Kubernetes, Application Deployment, Microservices, CI/CD, Containerization, Google App Engine, Cloud Applications, Cloud Computing, Generative AI, Terraform, Infrastructure As A Service (IaaS), Restful API, Data Storage, Cloud Services, Cloud Computing Architecture

    4.5
    Rating, 4.5 out of 5 stars
    ·
    888 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Linear Algebra for Machine Learning and Data Science

    Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Machine Learning Methods, Data Transformation, Data Manipulation, Data Science, Applied Mathematics, Mathematical Modeling, Machine Learning, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    AI in Healthcare

    Skills you'll gain: Feature Engineering, Healthcare Ethics, Pharmaceuticals, Data Ethics, Clinical Research, Health Systems, Healthcare Industry Knowledge, Unstructured Data, Health Care, Health Informatics, Data Mining, Managed Care, Responsible AI, Clinical Data Management, Applied Machine Learning, Medical Billing, Electronic Medical Record, Machine Learning, Artificial Intelligence, Clinical Research Ethics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.4K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    AI for Medicine

    Skills you'll gain: Deep Learning, Statistical Analysis, Clinical Trials, Risk Modeling, Decision Tree Learning, Predictive Modeling, Applied Machine Learning, Feature Engineering, Patient Treatment, Image Analysis, AI Personalization, Diagnostic Radiology, Machine Learning, Random Forest Algorithm, Forecasting, Data Processing, Artificial Intelligence, Tensorflow, Medical Imaging, Text Mining

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.4K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Digital Transformation Using AI/ML with Google Cloud

    Skills you'll gain: Business Transformation, Innovation, Digital Transformation, Serverless Computing, Cloud Services, Data Ethics, Cloud Infrastructure, Google Cloud Platform, Application Programming Interface (API), Technology Strategies, Hybrid Cloud Computing, Data Strategy, Infrastructure As A Service (IaaS), Responsible AI, Cloud Computing, Cloud Solutions, Public Cloud, Containerization, Cloud-Native Computing, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7.5K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning

    Skills you'll gain: Regression Analysis, Applied Machine Learning, Feature Engineering, Machine Learning, Image Analysis, Unsupervised Learning, Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Bayesian Statistics, Statistical Modeling, Artificial Intelligence, Deep Learning, Data Mining, Computer Vision, Statistical Machine Learning, Predictive Analytics, Text Mining, Machine Learning Algorithms, Big Data

    4.6
    Rating, 4.6 out of 5 stars
    ·
    16K reviews

    Intermediate · Specialization · 3 - 6 Months

Searches related to 教学方法

生物信息学: 导论与方法
bioinformatics: introduction and methods 生物信息学: 导论与方法
1…171819…113

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

  • Java程序设计: Peking University
  • 生成式 AI:不只是聊天机器人: Google Cloud
  • IBM Introduction to Machine Learning: IBM
  • Machine Learning in Production: DeepLearning.AI
  • Preparing for Google Cloud Certification: Machine Learning Engineer: Google Cloud
  • Unsupervised Learning, Recommenders, Reinforcement Learning: DeepLearning.AI
  • Architecting with Google Compute Engine 日本語版: Google Cloud
  • Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
  • AI in Healthcare: Stanford University
  • AI for Medicine: DeepLearning.AI

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