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  • 随机森林算法

Results for "随机森林算法"


  • Status: New
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    E

    EDUCBA

    Machine Learning Projects in R with Caret

    Skills you'll gain: Applied Machine Learning, Unsupervised Learning, Correlation Analysis, Data Cleansing, R Programming, Data Quality, Feature Engineering, Machine Learning, Data Validation, Data Processing, Machine Learning Algorithms, Data Manipulation, Exploratory Data Analysis, Data Integrity, Analysis, Statistical Analysis

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
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    U

    University of London

    Machine Learning for All

    Skills you'll gain: Machine Learning, Data Processing, Artificial Intelligence, Data Analysis, Machine Learning Algorithms, Computer Vision, Data Collection, Software Testing

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
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    3.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    EDUCBA

    Machine Learning with R: Build, Analyze & Predict

    Skills you'll gain: Data Analysis, Statistical Analysis, Probability Distribution, R Programming, Statistical Methods, Applied Machine Learning, Exploratory Data Analysis, Statistical Modeling, Machine Learning, Data Manipulation, Supervised Learning, Random Forest Algorithm, Regression Analysis, Predictive Modeling, Decision Tree Learning

    Mixed · Course · 1 - 4 Weeks

  • Status: New
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    Packt

    Designing Agentive Technology: AI for Human Support

    Skills you'll gain: Agentic systems, Human Computer Interaction, UI/UX Strategy, Interaction Design, Persona (User Experience), User Experience Design, Responsible AI, AI Product Strategy, Artificial Intelligence, Automation, Trustworthiness, Machine Learning, Technology Strategies

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
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    Google Cloud

    Architecting with Google Kubernetes Engine 日本語版

    Skills you'll gain: Kubernetes, Prompt Engineering, Google Cloud Platform, Cloud Infrastructure, Containerization, Generative AI, Infrastructure As A Service (IaaS), Application Deployment, Cloud Storage, Cloud Services, Identity and Access Management, Cloud Applications, CI/CD, Cloud Computing, Virtual Machines, Scalability, Docker (Software), Application Development, Cloud Management, Cloud Security

    4.5
    Rating, 4.5 out of 5 stars
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    718 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    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
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    584 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    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
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    1.5K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: New
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    Google Cloud

    Generative KI: Grundlegende Konzepte

    Skills you'll gain: Generative AI, Responsible AI, Google Cloud Platform, Data Modeling, Artificial Intelligence, Large Language Modeling, Business Intelligence, Deep Learning, Machine Learning, Unstructured Data

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    C

    Coursera

    Data Science Beyond the Basics (ML+DS)

    Skills you'll gain: Generative AI, Supervised Learning, Generative Model Architectures, AWS SageMaker, Unsupervised Learning, Large Language Modeling, Time Series Analysis and Forecasting, LLM Application, Applied Machine Learning, Feature Engineering, Exploratory Data Analysis, Deep Learning, A/B Testing, Python Programming, Machine Learning, Data Analysis, Data Processing, AWS CloudFormation, AI Personalization, Network Architecture

    4.4
    Rating, 4.4 out of 5 stars
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    16 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    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: Free Trial
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    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
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    1.2K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Exploratory Data Analysis for Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Cleansing, Data Access, Data Analysis, Statistical Inference, Statistical Hypothesis Testing, Data Quality, Data Science, Probability & Statistics, Jupyter, Machine Learning, Data Manipulation, Pandas (Python Package), Statistical Analysis, Data Transformation, Artificial Intelligence

    4.6
    Rating, 4.6 out of 5 stars
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    2.5K 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

  • Machine Learning Projects in R with Caret: EDUCBA
  • Machine Learning for All: University of London
  • Machine Learning with R: Build, Analyze & Predict: EDUCBA
  • Designing Agentive Technology: AI for Human Support: Packt
  • Architecting with Google Kubernetes Engine 日本語版: Google Cloud
  • Introduction to Generative AI for Software Development: DeepLearning.AI
  • Probabilistic Graphical Models: Stanford University
  • Generative KI: Grundlegende Konzepte: Google Cloud
  • Data Science Beyond the Basics (ML+DS): Coursera
  • Convolutional Neural Networks in TensorFlow: DeepLearning.AI

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