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  • 随机森林算法

Results for "随机森林算法"


  • Status: Free Trial
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    D

    DeepLearning.AI

    Calculus for Machine Learning and Data Science

    Skills you'll gain: Applied Mathematics, Calculus, Numerical Analysis, Mathematical Modeling, Machine Learning, Python Programming, Regression Analysis, Artificial Neural Networks, Deep Learning, Derivatives

    4.8
    Rating, 4.8 out of 5 stars
    ·
    922 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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
    ·
    676 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Build, Train and Deploy ML Models with Keras on Google Cloud

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Data Pipelines, MLOps (Machine Learning Operations), Deep Learning, Artificial Neural Networks, Cloud Computing, Machine Learning, Data Cleansing, Python Programming, Data Transformation, Application Programming Interface (API)

    4.4
    Rating, 4.4 out of 5 stars
    ·
    2.8K reviews

    Intermediate · 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
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    2K reviews

    Intermediate · 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
    M

    Microsoft

    Building AI Cloud Apps with Microsoft Azure

    Skills you'll gain: Responsible AI, Cloud Development, Image Analysis, Anomaly Detection, Prompt Engineering, Microsoft Copilot, Microsoft Azure, Cloud Storage, Data Storage, Cloud Applications, Text Mining, Microsoft Development Tools, Unsupervised Learning, Data Storage Technologies, Natural Language Processing, Cloud Hosting, Continuous Deployment, Computer Vision, Cloud Computing, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    667 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    U

    University of Pennsylvania

    AI Applications in Marketing and Finance

    Skills you'll gain: AI Personalization, Fraud detection, Big Data, Credit Risk, Risk Management, Customer Insights, Machine Learning, Marketing Analytics, Advanced Analytics, Data-Driven Decision-Making, Consumer Behaviour, Customer experience improvement, Artificial Intelligence, Financial Analysis, Retail Banking, Business Transformation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    469 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    D

    Duke University

    DevOps, DataOps, MLOps

    Skills you'll gain: MLOps (Machine Learning Operations), Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Containerization, Tensorflow, Web Frameworks, Rust (Programming Language), Microsoft Copilot, DevOps, Cloud Solutions, CI/CD, Machine Learning, Serverless Computing, Docker (Software), GitHub, Command-Line Interface, Big Data

    4.2
    Rating, 4.2 out of 5 stars
    ·
    205 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    A

    Alberta Machine Intelligence Institute

    Introduction to Applied Machine Learning

    Skills you'll gain: Data Ethics, Applied Machine Learning, Data Processing, Machine Learning, Machine Learning Algorithms, Product Lifecycle Management, Supervised Learning, Business Requirements, Data Quality, Business Analysis, Unsupervised Learning, Artificial Intelligence, Performance Metric

    4.7
    Rating, 4.7 out of 5 stars
    ·
    746 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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: 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
    ·
    774 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Machine Learning Foundations for Product Managers

    Skills you'll gain: Deep Learning, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Decision Tree Learning, Computer Vision, Supervised Learning, Natural Language Processing, Random Forest Algorithm, Data Science, Predictive Analytics, Algorithms, Performance Metric

    4.7
    Rating, 4.7 out of 5 stars
    ·
    687 reviews

    Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular 随机森林算法 courses

  • Calculus for Machine Learning and Data Science: DeepLearning.AI
  • Big Data, Artificial Intelligence, and Ethics: University of California, Davis
  • Build, Train and Deploy ML Models with Keras on Google Cloud: Google Cloud
  • Introduction to Deep Learning & Neural Networks with Keras: IBM
  • Developing AI Applications on Azure: LearnQuest
  • Building AI Cloud Apps with Microsoft Azure: Microsoft
  • AI Applications in Marketing and Finance: University of Pennsylvania
  • DevOps, DataOps, MLOps: Duke University
  • Introduction to Applied Machine Learning: Alberta Machine Intelligence Institute
  • Supervised Machine Learning: Regression: IBM

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