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  • 传感器集成

Results for "传感器集成"


  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    Edureka

    Securing AI Systems

    Skills you'll gain: Responsible AI, Incident Response, Application Security, Security Engineering, Threat Modeling, Cybersecurity, MLOps (Machine Learning Operations), Security Controls, Information Systems Security, Artificial Intelligence and Machine Learning (AI/ML), Security Strategy, Continuous Monitoring, Identity and Access Management, Cloud Security, Vulnerability Assessments, Hardening, Threat Detection, Artificial Intelligence, Penetration Testing, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    L

    LearnQuest

    Foundations of No-Code AI for Real-World Applications

    Skills you'll gain: Data Ethics, No-Code Development, Data Cleansing, Artificial Intelligence, Data Processing, Business Solutions, Machine Learning, Business Metrics, Data Storytelling, Usability, User Experience Design, Application Design, Generative AI, Business Analytics, Application Deployment, Scalability, Data Validation, Dashboard, Compliance Management, Automation

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Responsible AI: Applying AI Principles with GC - 简体中文

    Skills you'll gain: Responsible AI, Data Ethics, Generative AI, AI Product Strategy, Artificial Intelligence, Business Ethics, Compliance Auditing, Auditing, Ethical Standards And Conduct, Governance

    Beginner · Course · 1 - 3 Months

  • G

    Google Cloud

    Gemini in Google Docs - 日本語版

    Skills you'll gain: Google Gemini, Generative AI, Prompt Engineering, Google Workspace, Technical Writing, Document Management, Grammar

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Reliability, Cloud Computing and Machine Learning

    Skills you'll gain: Data Warehousing, Apache Hadoop, Transaction Processing, Distributed Computing, Database Systems, Relational Databases, Database Architecture and Administration, Cloud Computing, Big Data, Data Processing, Machine Learning, Scalability, Data Integrity, Disaster Recovery

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Image Classification on Autopilot with AWS AutoGluon

    Skills you'll gain: AWS SageMaker, Image Analysis, Deep Learning, Computer Vision, Applied Machine Learning, Plot (Graphics), Machine Learning, Python Programming, Data Science

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    AWS AutoGluon for Machine Learning Classification

    Skills you'll gain: AWS SageMaker, Applied Machine Learning, Amazon Web Services, Classification And Regression Tree (CART), Predictive Modeling, Machine Learning Algorithms, Machine Learning, Python Programming, Data Visualization

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    C

    Coursera

    Tidymodels in R: Building tidy machine learning models

    Skills you'll gain: Tidyverse (R Package), Data Visualization, Clinical Data Management, Data Manipulation, Predictive Modeling, R Programming, Data Processing, Data Cleansing, Predictive Analytics, Data Pipelines, Feature Engineering, Applied Machine Learning, Machine Learning, Statistical Modeling, Performance Tuning, Hospital Medicine

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    N

    Northeastern University

    Machine Learning for Engineers: Algorithms and Applications

    Skills you'll gain: Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Unsupervised Learning, PyTorch (Machine Learning Library), Applied Machine Learning, Statistical Modeling, Machine Learning, Machine Learning Software, Statistical Analysis, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Algorithms, Predictive Modeling, Dimensionality Reduction, Complex Problem Solving

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Washington

    머신 러닝 기초: 사례 연구 접근 방식

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

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    P

    Packt

    Building AI-Powered Application with .NET

    Skills you'll gain: .NET Framework, Machine Learning, Artificial Intelligence, Microsoft Copilot, Generative AI, Applied Machine Learning, OpenAI, Microsoft Azure, MLOps (Machine Learning Operations), Development Environment, Microsoft Development Tools, Image Analysis, Responsible AI, Computer Vision, Natural Language Processing

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    B

    Birla Institute of Technology & Science, Pilani

    Logic for Computer Science

    Skills you'll gain: Computational Logic, Logical Reasoning, Deductive Reasoning, Analytical Skills, Theoretical Computer Science, Computational Thinking, Computer Science, Data Analysis, Computer Programming, Verification And Validation, Algorithms, Program Development, Software Development, Machine Learning

    Beginner · Course · 1 - 3 Months

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In summary, here are 10 of our most popular 传感器集成 courses

  • Securing AI Systems: Edureka
  • Foundations of No-Code AI for Real-World Applications: LearnQuest
  • Responsible AI: Applying AI Principles with GC - 简体中文: Google Cloud
  • Gemini in Google Docs - 日本語版: Google Cloud
  • Reliability, Cloud Computing and Machine Learning: Johns Hopkins University
  • Image Classification on Autopilot with AWS AutoGluon: Coursera
  • AWS AutoGluon for Machine Learning Classification: Coursera
  • Tidymodels in R: Building tidy machine learning models: Coursera
  • Machine Learning for Engineers: Algorithms and Applications: Northeastern University
  • 머신 러닝 기초: 사례 연구 접근 방식: University of Washington

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