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  • 分类学

个结果,搜索词为 "分类学"


  • 状态:免费试用
    免费试用
    B

    Board Infinity

    Java in Machine Learning

    您将获得的技能: Responsible AI, MLOps (Machine Learning Operations), Data Preprocessing, Model Deployment, Jenkins, Apache Mahout, AI Security, Applied Machine Learning, Classification Algorithms, Java, Continuous Deployment, Java Programming, Federated Learning, Artificial Intelligence, Model Evaluation, Deep Learning, Machine Learning, Spring Boot, Natural Language Processing, Reinforcement Learning

    中级 · 专项课程 · 1-3 个月

  • 状态:免费试用
    免费试用
    G

    Google Cloud

    Google Chat - 日本語版

    您将获得的技能: Google Workspace, Collaborative Software, Business Solutions, Internal Communications, Communication, File Management

    初级 · 课程 · 1-3 个月

  • 状态:新
    新
    状态:预览
    预览
    I

    Infosec

    CompTIA Data+

    您将获得的技能: Data Integration, Data Analysis, Data Mining, Data-Driven Decision-Making, Data Modeling, Data Governance, Business Analytics, Data Visualization, Statistical Analysis, Dashboard, Data Warehousing, Data Security, Data Quality, Data Transformation, Data Cleansing, Data Integrity, Relational Databases, Machine Learning

    中级 · 课程 · 1-3 个月

  • 状态:预览
    预览
    M

    Maven Analytics

    Complete Visual Guide to Machine Learning

    您将获得的技能: Unsupervised Learning, Model Evaluation, Regression Analysis, Exploratory Data Analysis, Applied Machine Learning, Time Series Analysis and Forecasting, Data Analysis, Classification Algorithms, Statistical Analysis, Data Science, Data Preprocessing, Data Mining, Machine Learning, Predictive Modeling, Machine Learning Algorithms, Customer Analysis, Supervised Learning, Histogram, Data Quality, Business Intelligence

    初级 · 课程 · 1-3 个月

  • 状态:预览
    预览
    N

    Northeastern University

    Foundations of Statistical Learning & Algorithms

    您将获得的技能: Model Evaluation, Linear Algebra, Statistical Machine Learning, Probability, Bayesian Statistics, Probability Distribution, Mathematical Modeling, Machine Learning, Applied Mathematics, Statistical Inference, Dimensionality Reduction, Algebra

    混合 · 课程 · 1-4 周

  • 状态:免费试用
    免费试用
    U

    University of Pennsylvania

    Intro to Predictive Analytics Using Python

    您将获得的技能: Feature Engineering, Unsupervised Learning, Model Evaluation, Predictive Modeling, Predictive Analytics, Decision Tree Learning, Classification And Regression Tree (CART), Supervised Learning, Forecasting, Machine Learning Methods, Random Forest Algorithm, Analytics, Statistical Modeling, Regression Analysis, Machine Learning, Logistic Regression, Python Programming

    初级 · 课程 · 1-4 周

  • 状态:预览
    预览
    P

    Pontificia Universidad Católica de Chile

    Fundamentos de sistemas recomendadores

    您将获得的技能: AI Personalization, Model Evaluation, Predictive Modeling, Machine Learning, Machine Learning Software, Dimensionality Reduction, Machine Learning Algorithms, Text Mining

    4.7
    评分, 4.7 星,最高 5 星
    ·
    6 条评论

    中级 · 课程 · 1-3 个月

  • P

    Packt

    No-Code Machine Learning Using Amazon AWS SageMaker Canvas

    您将获得的技能: AWS SageMaker, Applied Machine Learning, Model Evaluation, Amazon Web Services, No-Code Development, Machine Learning, Supervised Learning, Cloud Platforms, Predictive Modeling, Amazon S3, Version Control, Data Preprocessing, Model Deployment

    初级 · 课程 · 1-3 个月

  • 状态:免费试用
    免费试用
    G

    Google Cloud

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

    您将获得的技能: Google Cloud Platform, Deep Learning, Unstructured Data, Tensorflow, Data Pipelines, Machine Learning, Model Deployment, SQL, Artificial Intelligence, Jupyter, Natural Language Processing

    4.7
    评分, 4.7 星,最高 5 星
    ·
    11 条评论

    中级 · 课程 · 1-3 个月

  • 状态:新
    新
    状态:免费试用
    免费试用
    E

    EDUCBA

    Machine Learning with R: Build, Analyze & Predict

    您将获得的技能: Data Analysis, Statistical Analysis, Probability Distribution, R Programming, Exploratory Data Analysis, Statistical Modeling, Machine Learning, Statistical Inference, Classification Algorithms, Data Manipulation, Supervised Learning, Random Forest Algorithm, Regression Analysis, Model Evaluation, Decision Tree Learning

    4.5
    评分, 4.5 星,最高 5 星
    ·
    10 条评论

    混合 · 课程 · 1-4 周

  • 状态:预览
    预览
    N

    Northeastern University

    Machine Learning for Engineers: Algorithms and Applications

    您将获得的技能: Model Evaluation, Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Unsupervised Learning, PyTorch (Machine Learning Library), Applied Machine Learning, Statistical Methods, Statistical Modeling, Machine Learning, Machine Learning Software, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Classification Algorithms, Algorithms, Predictive Modeling, Dimensionality Reduction, Complex Problem Solving

    中级 · 课程 · 1-4 周

  • 状态:新
    新
    状态:免费试用
    免费试用
    E

    EDUCBA

    AI Driven Machine Learning with Python

    您将获得的技能: Model Evaluation, Classification Algorithms, Regression Analysis, Matplotlib, Feature Engineering, Time Series Analysis and Forecasting, Data Preprocessing, Jupyter, Image Analysis, Cloud Deployment, Scikit Learn (Machine Learning Library), Applied Machine Learning, Tensorflow, Amazon Web Services, Python Programming, Data Transformation, Logistic Regression, Machine Learning Methods, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)

    初级 · 专项课程 · 1-3 个月

1…838485…106

总之,以下是 10 最受欢迎的 分类学 课程

  • Java in Machine Learning: Board Infinity
  • Google Chat - 日本語版: Google Cloud
  • CompTIA Data+: Infosec
  • Complete Visual Guide to Machine Learning: Maven Analytics
  • Foundations of Statistical Learning & Algorithms: Northeastern University
  • Intro to Predictive Analytics Using Python: University of Pennsylvania
  • Fundamentos de sistemas recomendadores: Pontificia Universidad Católica de Chile
  • No-Code Machine Learning Using Amazon AWS SageMaker Canvas: Packt
  • Smart Analytics, Machine Learning, and AI on GCP em Português Brasileiro: Google Cloud
  • Machine Learning with R: Build, Analyze & Predict: EDUCBA

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