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  • 教学方法

Results for "教学方法"


  • Status: Free Trial
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    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
    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

  • 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
    U

    University of Michigan

    Applied Machine Learning in Python

    Skills you'll gain: Feature Engineering, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Decision Tree Learning, Unsupervised Learning, Python Programming, Dimensionality Reduction, Random Forest Algorithm, Regression Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    8.6K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM Deep Learning with PyTorch, Keras and Tensorflow

    Skills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Deep Learning, Reinforcement Learning, Unsupervised Learning, Artificial Neural Networks, Machine Learning Methods, Generative AI, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Computer Vision, Statistical Modeling, Artificial Intelligence, Geospatial Information and Technology, Machine Learning, Regression Analysis, Data Pipelines, Network Architecture, Network Model

    4.5
    Rating, 4.5 out of 5 stars
    ·
    4.1K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI: Introduction and Applications

    Skills you'll gain: Generative AI, ChatGPT, AI Product Strategy, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.9K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    F

    Fudan University

    游戏策划与设计

    Skills you'll gain: Game Design, Animation and Game Design, Conceptual Design, Systems Design, Design, Computer Graphics, Visualization (Computer Graphics), Prototyping, Storytelling, Creativity, Coordination

    3.9
    Rating, 3.9 out of 5 stars
    ·
    34 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    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: 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

  • 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
    I

    Imperial College London

    Mathematics for Machine Learning

    Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Probability & Statistics, Machine Learning Algorithms, Jupyter, Data Science, Advanced Mathematics, Statistics, Statistical Analysis, Artificial Neural Networks, Algorithms, Data Manipulation, Python Programming, Machine Learning, Derivatives

    4.6
    Rating, 4.6 out of 5 stars
    ·
    15K reviews

    Beginner · 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

  • Unsupervised Learning, Recommenders, Reinforcement Learning: DeepLearning.AI
  • AI in Healthcare: Stanford University
  • AI for Medicine: DeepLearning.AI
  • Machine Learning in Production: DeepLearning.AI
  • Applied Machine Learning in Python: University of Michigan
  • IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
  • Generative AI: Introduction and Applications: IBM
  • 游戏策划与设计: Fudan University
  • Java程序设计: Peking University
  • IBM Introduction to Machine Learning: IBM

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