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  • 混合式学习


个结果,搜索词为 "混合式学习"


  • C

    Clemson University

    Applied Data Science

    您将获得的技能: Dimensionality Reduction, Model Evaluation, Data Cleansing, Matplotlib, Regression Analysis, Unsupervised Learning, Data Science, Statistical Analysis, Anomaly Detection, Data Preprocessing, Statistical Methods, Data Analysis, Data Visualization Software, Pandas (Python Package), Exploratory Data Analysis, Machine Learning

    攻读学位

    中级 · 课程 · 1-3 个月

  • 状态:免费
    免费
    C

    Coursera

    Code Faster with Tabnine: Optimise a NextJS Application

    您将获得的技能: Program Development, Integrated Development Environments, Code Review, Software Development, AI Enablement, Debugging, Web Development Tools, JavaScript Frameworks, Web Development, Artificial Intelligence, React.js, Context Management, Machine Learning

    中级 · 指导项目 · 不超过 2 小时

  • G

    Google Cloud

    Generate Personalized Email Content with BigQuery Continuous Queries and Gemini

    您将获得的技能: Gemini, Email Automation, Google Cloud Platform, AI Personalization, Identity and Access Management, Test Data, Cloud-Based Integration, Model Deployment, Data Maintenance, Query Languages, SQL, Machine Learning

    中级 · 项目 · 不超过 2 小时

  • 状态:新
    新
    状态:免费试用
    免费试用
    U

    University of Glasgow

    6G Evolution: Blockchain, Semantic Communications & Radar

    您将获得的技能: Federated Learning, Emerging Technologies, Generative AI, Communication Systems, Internet Of Things, Software-Defined Networking, Digital Communications, Network Architecture, Zero Trust Network Access, Artificial Intelligence and Machine Learning (AI/ML), Distributed Computing, Artificial Intelligence, Information Technology, Health Technology, Electronics Engineering, Electrical Engineering, Machine Learning, Trustworthiness

    中级 · 课程 · 1-3 个月

  • 状态:免费试用
    免费试用
    F

    Fundação Instituto de Administração

    Fundamentos de IA Aplicados ao CRM

    您将获得的技能: Predictive Analytics, Customer Relationship Management, Data-Driven Decision-Making, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Machine Learning, Deep Learning, Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Model Evaluation

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

    初级 · 课程 · 1-4 周

  • G

    Google Cloud

    App Deployment, Debugging, and Performance - 日本語版

    您将获得的技能: Cloud Deployment, Google Cloud Platform, Cloud Applications, Cloud Development, Infrastructure as Code (IaC), Application Deployment, Application Development, Application Performance Management, Debugging, Development Environment, Containerization, Performance Tuning

    中级 · 课程 · 1-3 个月

  • 状态:免费试用
    免费试用
    W

    Whizlabs

    Azure ML: Explore & Configure the Machine Learning Workspace

    您将获得的技能: Statistical Modeling, Microsoft Azure, Statistical Methods, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, MLOps (Machine Learning Operations), Azure Synapse Analytics, Cloud Computing, Data Preprocessing, Data Management, Model Deployment, Model Evaluation, Development Environment

    中级 · 课程 · 1-4 周

  • 状态:新
    新
    状态:预览
    预览
    E

    EDUCBA

    AI & Machine Learning: Apply, Build & Solve

    您将获得的技能: Artificial Intelligence, Bayesian Network, Applied Machine Learning, Computational Logic, Machine Learning, Unsupervised Learning, Bayesian Statistics, Artificial Neural Networks, Reinforcement Learning, Markov Model, Algorithms, Probability & Statistics, Decision Making

    混合 · 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

    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: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:新
    新
    状态:预览
    预览
    S

    Simplilearn

    Fundamental of Reinforcement Training

    您将获得的技能: Reinforcement Learning, Artificial Intelligence, Applied Machine Learning, Machine Learning, Supervised Learning, Unsupervised Learning, Markov Model

    初级 · 课程 · 1-4 周

1…878889…109

总之,以下是 10 最受欢迎的 混合式学习 课程

  • Applied Data Science: Clemson University
  • Code Faster with Tabnine: Optimise a NextJS Application: Coursera
  • Generate Personalized Email Content with BigQuery Continuous Queries and Gemini: Google Cloud
  • 6G Evolution: Blockchain, Semantic Communications & Radar: University of Glasgow
  • Fundamentos de IA Aplicados ao CRM: Fundação Instituto de Administração
  • App Deployment, Debugging, and Performance - 日本語版: Google Cloud
  • Azure ML: Explore & Configure the Machine Learning Workspace: Whizlabs
  • AI & Machine Learning: Apply, Build & Solve: EDUCBA
  • Machine Learning with R: Build, Analyze & Predict: EDUCBA
  • Machine Learning for Engineers: Algorithms and Applications: Northeastern University

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