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  • 教学方法

Results for "教学方法"


  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Introduction to AI and Machine Learning on Google Cloud

    Skills you'll gain: Generative AI, Generative AI Agents, Google Cloud Platform, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Prompt Engineering, Tensorflow, OpenAI, AI Product Strategy, Cloud Infrastructure, Applied Machine Learning, Big Data, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    298 reviews

    Beginner · 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
    S

    Stanford University

    Fundamentals of Machine Learning for Healthcare

    Skills you'll gain: Healthcare Ethics, Data Ethics, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Responsible AI, Artificial Neural Networks, Healthcare Industry Knowledge, Medical Science and Research, Health Care, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Reinforcement Learning, Health Informatics, Deep Learning, Health Policy, Data Processing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    597 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Politecnico di Milano

    Artificial Intelligence: an Overview

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning, Intellectual Property, Responsible AI, Legal Risk, Reinforcement Learning, Artificial Intelligence, General Data Protection Regulation (GDPR), Dimensionality Reduction, Cloud Platforms, Deep Learning, Hardware Architecture, Law, Regulation, and Compliance, Regulation and Legal Compliance, Information Privacy, Information Technology, Social Studies, Artificial Neural Networks

    4.6
    Rating, 4.6 out of 5 stars
    ·
    780 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Introduction to Recommender Systems: Non-Personalized and Content-Based

    Skills you'll gain: Taxonomy, AI Personalization, Spreadsheet Software, Machine Learning, Predictive Analytics, Microsoft Excel, Statistical Methods, Persona Development, Text Mining, Descriptive Statistics, Data Collection, Algorithms, Computer Programming, Java

    4.4
    Rating, 4.4 out of 5 stars
    ·
    657 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    G

    Google Cloud

    Introduction to Generative AI - 日本語版

    Skills you'll gain: Generative AI, Prompt Engineering, Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML)

    4.5
    Rating, 4.5 out of 5 stars
    ·
    12 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    The Nuts and Bolts of Machine Learning

    Skills you'll gain: Feature Engineering, Applied Machine Learning, Advanced Analytics, Machine Learning, Unsupervised Learning, Workflow Management, Data Ethics, Supervised Learning, Data Validation, Classification And Regression Tree (CART), Random Forest Algorithm, Decision Tree Learning, Python Programming, Performance Tuning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    578 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Deep Learning & Neural Networks with Keras

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Tensorflow, Machine Learning Methods, Image Analysis, Computer Vision, Regression Analysis, Network Architecture, Network Model, Natural Language Processing, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Big Data, Artificial Intelligence, and Ethics

    Skills you'll gain: Data Ethics, Artificial Intelligence, Research, Natural Language Processing, Big Data, Artificial Intelligence and Machine Learning (AI/ML), Research Methodologies, Social Sciences, Responsible AI, Analytics, Machine Learning, Data Mining, Case Studies, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    681 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    L

    Ludwig-Maximilians-Universität München (LMU)

    高阶竞争策略(中文版)

    Skills you'll gain: Mergers & Acquisitions, Business Strategy, Customer Retention, Growth Strategies, Competitive Analysis, E-Commerce, Market Analysis, Consumer Behaviour, Market Share, Regulatory Compliance

    4.8
    Rating, 4.8 out of 5 stars
    ·
    101 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Supervised Machine Learning: Regression

    Skills you'll gain: Supervised Learning, Regression Analysis, Predictive Modeling, Machine Learning, Statistical Modeling, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Feature Engineering, Statistical Analysis, Performance Metric

    4.7
    Rating, 4.7 out of 5 stars
    ·
    811 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    I

    IBM

    Machine Learning Introduction for Everyone

    Skills you'll gain: Predictive Modeling, Machine Learning, Supervised Learning, Data Science, Artificial Intelligence, Deep Learning, Classification And Regression Tree (CART), Unsupervised Learning, Reinforcement Learning, Performance Metric

    4.5
    Rating, 4.5 out of 5 stars
    ·
    297 reviews

    Beginner · Course · 1 - 4 Weeks

Searches related to 教学方法

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bioinformatics: introduction and methods 生物信息学: 导论与方法
1…282930…114

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

  • Introduction to AI and Machine Learning on Google Cloud: Google Cloud
  • Machine Learning Operations (MLOps): Getting Started: Google Cloud
  • Fundamentals of Machine Learning for Healthcare: Stanford University
  • Artificial Intelligence: an Overview: Politecnico di Milano
  • Introduction to Recommender Systems: Non-Personalized and Content-Based: University of Minnesota
  • Introduction to Generative AI - 日本語版: Google Cloud
  • The Nuts and Bolts of Machine Learning: Google
  • Introduction to Deep Learning & Neural Networks with Keras: IBM
  • Big Data, Artificial Intelligence, and Ethics: University of California, Davis
  • 高阶竞争策略(中文版): Ludwig-Maximilians-Universität München (LMU)

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