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  • 머신러닝방법

Results for "머신 러닝 방법"


  • Status: New
    New
    G

    Google Cloud

    생성형 AI 앱: 업무 혁신

    Skills you'll gain: Google Gemini, Google Workspace, Generative AI, Google Cloud Platform, Productivity Software, Prompt Engineering, Enterprise Security, Document Management, Information Management

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of London

    모두를 위한 머신 러닝

    Skills you'll gain: Applied Machine Learning, Artificial Intelligence, Machine Learning, Computer Vision, Data Literacy, Data Processing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    D

    DeepLearning.AI

    머신 러닝 프로젝트 구조화

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Data-Driven Decision-Making, Technical Management, Machine Learning, Applied Machine Learning, Deep Learning, Debugging, Supervised Learning, Analysis, Algorithms

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    심층 신경망 개선: 하이퍼파라미터 튜닝, 정규화 및 최적화

    Skills you'll gain: Tensorflow, Deep Learning, Performance Tuning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Analysis, Machine Learning, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    S

    SAS

    머신 러닝 자세히 알아보기: 기술적 팁, 요령, 그리고 함정

    Skills you'll gain: Machine Learning, Data Ethics, Responsible AI, Technical Communication, Predictive Analytics, Supervised Learning, Artificial Intelligence, Data Analysis, Decision Tree Learning, Regression Analysis, Statistical Analysis, Artificial Neural Networks

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    U

    University of Washington

    머신 러닝: 회귀 모델

    Skills you'll gain: Regression Analysis, Supervised Learning, Predictive Modeling, Statistical Modeling, Statistical Methods, Machine Learning, Applied Machine Learning, Feature Engineering, Exploratory Data Analysis, Python Programming, Linear Algebra, Algorithms, Data Visualization

    Mixed · Course · 1 - 3 Months

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  • Status: Preview
    Preview
    U

    University of Washington

    머신 러닝 기초: 사례 연구 접근 방식

    Skills you'll gain: Regression Analysis, Applied Machine Learning, Machine Learning, Deep Learning, Jupyter, Classification And Regression Tree (CART), Supervised Learning, Predictive Modeling, Predictive Analytics, Artificial Intelligence, Unsupervised Learning, Computer Vision, Text Mining, Natural Language Processing, Data Mining

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    A

    Alberta Machine Intelligence Institute

    실용 머신 러닝 소개

    Skills you'll gain: Data Ethics, Machine Learning, Applied Machine Learning, Data Collection, Business Process, Data Modeling, Business Requirements, Supervised Learning, Machine Learning Algorithms, Data Quality, Unsupervised Learning, Performance Metric

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Michigan

    투자 기술의 혁신: AI

    Skills you'll gain: FinTech, Wealth Management, Financial Trading, Investment Management, Asset Management, Big Data, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Artificial Neural Networks, Portfolio Management, Machine Learning, Financial Analysis, Predictive Analytics

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    신경망 및 딥 러닝

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Supervised Learning, Computer Vision, Python Programming, Machine Learning, NumPy, Performance Tuning, Linear Algebra, Calculus

    5
    Rating, 5 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    L

    LearnQuest

    인공 지능 데이터 공정성 및 편향

    Skills you'll gain: Data Ethics, Responsible AI, Machine Learning, Game Theory, Algorithms, Applied Machine Learning, Artificial Intelligence, Predictive Modeling, Data Quality

    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

1234…9

In summary, here are 10 of our most popular 머신 러닝 방법 courses

  • 생성형 AI 앱: 업무 혁신: Google Cloud
  • 모두를 위한 머신 러닝: University of London
  • 머신 러닝 프로젝트 구조화: DeepLearning.AI
  • 심층 신경망 개선: 하이퍼파라미터 튜닝, 정규화 및 최적화: DeepLearning.AI
  • 머신 러닝 자세히 알아보기: 기술적 팁, 요령, 그리고 함정: SAS
  • 머신 러닝: 회귀 모델: University of Washington
  • 머신 러닝 기초: 사례 연구 접근 방식: University of Washington
  • 실용 머신 러닝 소개: Alberta Machine Intelligence Institute
  • 투자 기술의 혁신: AI: University of Michigan
  • 신경망 및 딥 러닝: DeepLearning.AI

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