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  • 介绍 Azure机器学习的基本原理

Results for "介绍 azure 机器学习的基本原理"


  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Smart Analytics, Machine Learning, and AI on GCP em Português Brasileiro

    Skills you'll gain: Google Cloud Platform, Tensorflow, Unstructured Data, Applied Machine Learning, Data Pipelines, Jupyter, Cloud API, Big Data, Machine Learning, Data Processing, Artificial Intelligence, Natural Language Processing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Bracketology with Google Machine Learning

    Skills you'll gain: Applied Machine Learning, Feature Engineering, Data Transformation, Big Data, Google Cloud Platform, Data Manipulation, Predictive Analytics, Machine Learning, Exploratory Data Analysis, SQL

    Beginner · Project · Less Than 2 Hours

  • Status: New
    New
    Status: Preview
    Preview
    N

    National Taiwan University

    商管統計資料分析三 (Analytics for Business and Management (III))

    Skills you'll gain: Statistical Methods, Regression Analysis, Statistical Hypothesis Testing, Statistical Modeling, Statistical Analysis, R Programming, Business Analytics, Advanced Analytics, Estimation, Probability & Statistics

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    P

    Pearson

    Learn MLOps for Machine Learning

    Skills you'll gain: MLOps (Machine Learning Operations), AWS SageMaker, CI/CD, DevOps, Data Processing, Data Management, Machine Learning, Predictive Modeling, Automation, Data Pipelines, Applied Machine Learning, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Deep Learning: Recurrent Neural Networks with Python

    Skills you'll gain: PyTorch (Machine Learning Library), Tensorflow, Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Application Deployment, Text Mining, Machine Learning, Natural Language Processing, Predictive Modeling, Python Programming, Time Series Analysis and Forecasting, Artificial Intelligence and Machine Learning (AI/ML), Network Architecture, Performance Tuning, Data Science, Data Processing, Data Analysis

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Glasgow

    Computational Thinking with JavaScript 2: Model & Analyse

    Skills you'll gain: JSON, Data Structures, Computational Thinking, Data Analysis, Data Visualization Software, Scripting, Javascript, Data Processing, Unsupervised Learning, Data Science, Data Modeling, Machine Learning, Computer Programming, Algorithms, Software Development

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Data Science Ethics with R

    Skills you'll gain: Data Ethics, Responsible AI, Data Visualization, Data Presentation, Data Storytelling, Ethical Standards And Conduct, Data Science, Data Collection, Data Visualization Software, Personally Identifiable Information, Information Privacy, Machine Learning, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8 reviews

    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: Free
    Free
    C

    Coursera

    Tidymodels in R: Building tidy machine learning models

    Skills you'll gain: Tidyverse (R Package), Data Visualization, Clinical Data Management, Data Manipulation, Predictive Modeling, R Programming, Data Processing, Data Cleansing, Predictive Analytics, Data Pipelines, Feature Engineering, Applied Machine Learning, Machine Learning, Statistical Modeling, Performance Tuning, Hospital Medicine

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    S

    Simplilearn

    AI & Deep Learning Concepts and Applications

    Skills you'll gain: Reinforcement Learning, Artificial Intelligence, Tensorflow, Artificial Neural Networks, Deep Learning, Machine Learning, Applied Machine Learning, Data Ethics, Supervised Learning, Responsible AI, Unsupervised Learning, Natural Language Processing, Computer Programming

    4.2
    Rating, 4.2 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • 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: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Advanced Data Science Techniques (with AWS Integration)

    Skills you'll gain: AWS SageMaker, Unsupervised Learning, Feature Engineering, Time Series Analysis and Forecasting, Amazon Web Services, Applied Machine Learning, Advanced Analytics, Machine Learning Methods, Cloud Development, Amazon S3, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Machine Learning, Statistical Analysis, MLOps (Machine Learning Operations), Predictive Analytics, Predictive Modeling, Machine Learning Algorithms, Supervised Learning, Regression Analysis

    Beginner · Course · 1 - 3 Months

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In summary, here are 10 of our most popular 介绍 azure 机器学习的基本原理 courses

  • Smart Analytics, Machine Learning, and AI on GCP em Português Brasileiro: Google Cloud
  • Bracketology with Google Machine Learning: Google Cloud
  • 商管統計資料分析三 (Analytics for Business and Management (III)): National Taiwan University
  • Learn MLOps for Machine Learning: Pearson
  • Deep Learning: Recurrent Neural Networks with Python: Packt
  • Computational Thinking with JavaScript 2: Model & Analyse: University of Glasgow
  • Data Science Ethics with R: Duke University
  • 심층 신경망 개선: 하이퍼파라미터 튜닝, 정규화 및 최적화: DeepLearning.AI
  • Tidymodels in R: Building tidy machine learning models: Coursera
  • AI & Deep Learning Concepts and Applications: Simplilearn

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