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Data Science And Machine Learning

Data Science And Machine Learning focuses on extracting insights and making predictions from data through analytical models and algorithms. It is crucial for informed decision-making and driving innovations in various tech sectors.

180

technologies

191,468

companies

List of companies using Data Science And Machine Learning

curl --request POST \
--url "https://api.theirstack.com/v1/companies/search" \
--header "Accept: application/json" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer <api_key>" \
-d "{
  \"tech_filters\": {
    \"technology_category_slug_or\": [
      \"data-science-and-machine-learning\"
    ]
  }
}"
  • NVIDIA logo
    United StatesEmployees53kRevenue$27BComputer Hardware Manufacturing
    LogoCUDAHigh confidence
  • Apple logo
    United StatesEmployees293kComputer Hardware Manufacturing
    LogoPyTorchHigh confidence
  • NVIDIA logo
    United StatesEmployees53kRevenue$27BComputer Hardware Manufacturing
    LogoPyTorchHigh confidence
  • Capital One logo
    United StatesEmployees61kFinancial Services
    LogoPyTorchHigh confidence
  • Meta logo
    United StatesEmployees166kSoftware Development
    LogoPyTorchHigh confidence
  • ALTEN Italia logo
    ItalyEmployees3.5kIT Services and IT Consulting
    LogoLiltHigh confidence
  • Trinity Health logo
    United StatesEmployees19kRevenue$10MHospitals and Health Care
    LogoIBM WatsonHigh confidence
  • Qualcomm logo
    United StatesEmployees57kRevenue$44BTelecommunications
    LogoPyTorchHigh confidence
  • Freshworks logo
    United StatesEmployees10kRevenue$545MSoftware Development
    LogoPropelHigh confidence
  • EY logo
    United KingdomEmployees412kRevenue$45BProfessional Services
    LogoTensorFlowHigh confidence

We have data on 191k companies and users that use Data Science And Machine Learning. Our Data Science And Machine Learning users and customers list is available for download and comes enriched with vital company specifics, including industry classification, organizational size, geographical location, funding rounds, and revenue figures, among others.

Frequently asked questions