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  • 随机森林算法

Results for "随机森林算法"


  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning Foundations: A Case Study Approach

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

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Introduction to Generative AI for Software Development

    Skills you'll gain: Prompt Engineering, Large Language Modeling, LLM Application, Generative AI, Code Review, Program Development, Software Development Methodologies, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    584 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    A

    AI CERTs

    AI For Data Analysts

    Skills you'll gain: Responsible AI, Agentic systems, Data Ethics, Data Pipelines, Real Time Data, No-Code Development, Applied Machine Learning, Machine Learning, Data Analysis, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Program Evaluation, Data Processing, Data Collection

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Statistical Inference, Sampling (Statistics), Statistical Methods, Unstructured Data, Natural Language Processing, Algorithms, Computational Thinking, Test Data

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.5K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Convolutional Neural Networks in TensorFlow

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Computer Vision, Image Analysis, Applied Machine Learning, Deep Learning, Artificial Neural Networks, Predictive Modeling, Machine Learning, Supervised Learning, Data Processing

    4.7
    Rating, 4.7 out of 5 stars
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    8.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    E

    EDUCBA

    Advanced Machine Learning with R: Apply & Predict

    Skills you'll gain: Dimensionality Reduction, R Programming, Time Series Analysis and Forecasting, Applied Machine Learning, Unsupervised Learning, Predictive Modeling, Machine Learning, Text Mining, Artificial Neural Networks, Forecasting, Data Mining, Supervised Learning, Exploratory Data Analysis, Probability & Statistics

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Computational Social Science

    Skills you'll gain: Social Network Analysis, Network Analysis, Data Wrangling, Natural Language Processing, Web Scraping, Social Sciences, Data Ethics, Databases, Artificial Intelligence, Research, Simulations, Big Data, Systems Thinking, Trend Analysis, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Research Methodologies, Machine Learning, Data Collection, Agentic systems

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.2K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    D

    Duke University

    MLOps | Machine Learning Operations

    Skills you'll gain: MLOps (Machine Learning Operations), Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Application Deployment, Responsible AI, Data Manipulation, Exploratory Data Analysis, Containerization, Data Pipelines, CI/CD, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis

    4.2
    Rating, 4.2 out of 5 stars
    ·
    550 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Preview
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    A

    Amazon Web Services

    AWS Artificial Intelligence Practitioner

    Skills you'll gain: Responsible AI, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), AWS SageMaker, Amazon Web Services, Artificial Intelligence, Applied Machine Learning, Prompt Engineering, Large Language Modeling, Machine Learning, Data Governance, Cloud Security

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    D

    Duke University

    Introduction to Machine Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Machine Learning Methods, Reinforcement Learning, Deep Learning, Image Analysis, Applied Machine Learning, Natural Language Processing, Machine Learning, Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.8K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Fundamentals of Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Machine Learning, Artificial Intelligence, Markov Model, Algorithms, Linear Algebra, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.9K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Managing Machine Learning Projects with Google Cloud

    Skills you'll gain: Data Ethics, Google Cloud Platform, Responsible AI, Machine Learning, Data Strategy, Data Governance, Innovation, AI Product Strategy, Feasibility Studies, Business Analysis, Business Priorities, Project Management Life Cycle

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.7K reviews

    Beginner · Course · 1 - 3 Months

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

  • Machine Learning Foundations: A Case Study Approach: University of Washington
  • Introduction to Generative AI for Software Development: DeepLearning.AI
  • AI For Data Analysts: AI CERTs
  • Probabilistic Graphical Models: Stanford University
  • Convolutional Neural Networks in TensorFlow: DeepLearning.AI
  • Advanced Machine Learning with R: Apply & Predict: EDUCBA
  • Computational Social Science: University of California, Davis
  • MLOps | Machine Learning Operations: Duke University
  • AWS Artificial Intelligence Practitioner: Amazon Web Services
  • Introduction to Machine Learning: Duke University

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