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  • 教学方法

Results for "教学方法"


  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Artificial Intelligence on Microsoft Azure

    Skills you'll gain: Responsible AI, Anomaly Detection, Computer Vision, Artificial Intelligence, Microsoft Azure, Image Analysis, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Data Ethics, Machine Learning, Large Language Modeling, Predictive Modeling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    967 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    Regression Analysis: Simplify Complex Data Relationships

    Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Data Analysis, Advanced Analytics, Statistical Analysis, Correlation Analysis, Analytical Skills, Business Analytics, Supervised Learning, Statistical Modeling, Scikit Learn (Machine Learning Library), Variance Analysis, Predictive Modeling, Probability & Statistics, Exploratory Data Analysis, Machine Learning, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    575 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Preview
    Preview
    P

    Peking University

    Essentials for English Speeches and Presentations 英语演讲与演示

    Skills you'll gain: Verbal Communication Skills, Presentations, Public Speaking, Interviewing Skills, English Language, Communication, Vocabulary, Non-Verbal Communication, Cultural Diversity, Intercultural Competence, Business Communication, Grammar, Adaptability

    4.6
    Rating, 4.6 out of 5 stars
    ·
    159 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Getting Started with Application Development 日本語版

    Skills you'll gain: Cloud Applications, Google Cloud Platform, Cloud API, Application Development, Data Store, Cloud Storage, Data Storage, Node.JS, NoSQL, Scalability

    4.4
    Rating, 4.4 out of 5 stars
    ·
    29 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Security in Google Cloud 日本語版

    Skills you'll gain: Prompt Engineering, Google Cloud Platform, Cloud Infrastructure, Distributed Denial-Of-Service (DDoS) Attacks, Identity and Access Management, Kubernetes, Cloud Security, Infrastructure As A Service (IaaS), Generative AI, Authentications, Cloud Services, Containerization, Virtual Machines, Data Loss Prevention, Cloud Storage, Application Development, Network Infrastructure, Malware Protection, Cloud Computing, Continuous Monitoring

    4.5
    Rating, 4.5 out of 5 stars
    ·
    707 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    AI for Good

    Skills you'll gain: Disaster Recovery, Data Analysis, Jupyter, Exploratory Data Analysis, Image Analysis, Data Ethics, Emergency Response, Artificial Intelligence, Machine Learning, Predictive Modeling, Applied Machine Learning, Mitigation, Responsible AI, Text Mining, Environmental Monitoring, Climate Change Mitigation, Artificial Neural Networks, Computer Vision, Supervised Learning, Natural Language Processing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    604 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Machine Learning With Big Data

    Skills you'll gain: Exploratory Data Analysis, Apache Spark, Big Data, Regression Analysis, Data Mining, Applied Machine Learning, Statistical Analysis, Machine Learning, Data Analysis, Unsupervised Learning, Data Transformation, Predictive Modeling, Data Cleansing, Supervised Learning, Decision Tree Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.5K reviews

    Mixed · Course · 1 - 3 Months

  • L

    LearnQuest

    Developing AI Applications on Azure

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Microsoft Azure, Applied Machine Learning, Python Programming, Machine Learning, Machine Learning Algorithms, Data Science, Image Analysis, Computer Vision, Application Deployment, Natural Language Processing, Application Programming Interface (API)

    4.4
    Rating, 4.4 out of 5 stars
    ·
    978 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Supervised Machine Learning: Classification

    Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Applied Machine Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Processing, Data Cleansing, Machine Learning, Regression Analysis, Data Manipulation, Business Analytics, Feature Engineering, Random Forest Algorithm, Statistical Modeling, Sampling (Statistics), Performance Metric

    4.8
    Rating, 4.8 out of 5 stars
    ·
    445 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    W

    Wesleyan University

    Data Analysis and Interpretation

    Skills you'll gain: Regression Analysis, Data Storytelling, Classification And Regression Tree (CART), Statistical Hypothesis Testing, Descriptive Statistics, Statistical Analysis, Statistical Software, Correlation Analysis, Exploratory Data Analysis, Data Manipulation, Decision Tree Learning, Data Presentation, Data Management, Data Analysis, Predictive Modeling, Data Visualization, Data Literacy, Statistical Modeling, Machine Learning, Statistics

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.4K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Capstone Project with Deep Learning

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, PyTorch (Machine Learning Library), Machine Learning Methods, Computer Vision, Geospatial Information and Technology, Machine Learning, Data Pipelines, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    678 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    E

    Edge Impulse

    Introduction to Embedded Machine Learning

    Skills you'll gain: Applied Machine Learning, Embedded Systems, Data Processing, Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Deep Learning, Data Analysis, Feature Engineering, Computer Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    745 reviews

    Intermediate · Course · 1 - 4 Weeks

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…303132…114

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

  • Artificial Intelligence on Microsoft Azure: Microsoft
  • Regression Analysis: Simplify Complex Data Relationships: Google
  • Essentials for English Speeches and Presentations 英语演讲与演示: Peking University
  • Getting Started with Application Development 日本語版: Google Cloud
  • Security in Google Cloud 日本語版: Google Cloud
  • AI for Good: DeepLearning.AI
  • Machine Learning With Big Data: University of California San Diego
  • Developing AI Applications on Azure: LearnQuest
  • Supervised Machine Learning: Classification: IBM
  • Data Analysis and Interpretation: Wesleyan University

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