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DSTC-00404 Online (e-LMS) Graduate / Intermediate

Machine Learning for Gas Sensors: Anomaly Detection and Domain-Aware Modeling

by - DSTC

Apply machine learning to gas-sensor data.

β˜…β˜…β˜…β˜…β˜… Be the first to review β€’ 4 Weeks Β· 40 hrs β€’ e-Certificate Included
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From β‚Ή2,500 + GST

πŸ“ˆ Career Pathways & Programme Audience

AI & Machine Learning in Healthcare

Based on 12 real enrolments in Machine Learning for Gas Sensors: Anomaly Detection and Domain-Aware Modeling and closely related DSTC programmes.

Total enrolled

12

Typical participant

Ph.D. Scholar / Researcher

From academia / research

33.3%

Top participant countries

EthiopiaIranChinaHong KongEcuador

Institutions our participants come from

  • SCUT
  • Ethiopian Institute of Agricultural Research (EIAR)
  • hkust
  • Islamic Azad University
  • IEEE

Earn government-registered certification in Machine Learning for Gas Sensors: Anomaly Detection and Domain-Aware Modeling

e-Certificate and e-Marksheet issued on successful completion.

View full course β†’

Scholar Registration

For scholars whose department, college or employer pays the fee. We raise a proforma invoice to your institution; you attach the signed processing letter or bank slip.

The proforma invoice is emailed here as well as to you.
πŸ“„ Upload Sponsorship Slip / Letter

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