Artificial Intelligence & Machine Learning

dotNear helps customers leverage Artificial Intelligence & Machine Learning. This includes enhancements to client’s proprietary AI & ML products, and also building complex machine learning applications.

Most commercially successful software applications are beginning to include artificial intelligence – from bots, online sales to booking websites and other services where past and general behavior can provide a better experience for each user.

dotNear can provide nearshore engineers with expertise ranging from data preparation (data scraping, data wrangling, cleansing and pre-processing) to deep learning architectures (deep neural networks, deep belief networks, recurrent neural networks).

Languages

  • R
  • Python
  • Java

Machine learning libraries and engines

  • Google Cloud Machine Learning
  • TensorFlow
  • Python Scikit (Scikit-learn, Scikit-image)
  • Amazon Machine Learning
  • Microsoft Azure Machine Learning (Azure ML)

Infrastructure as a service

  • Amazon Web Services
  • Google Cloud Platform
  • Microsoft Azure

Previous machine learning projects:

  • Natural Language Processing project to parse and analyze human trading information
  • Sales prediction algorithms based on historical data
  • Image recommendations, using deep learning, computer vision, assisted and unassisted Learning large set of images
  • Social network filtering and recommendation