AI/ML

dotNear helps customers implement Artificial Intelligence & Machine Learning in their business initiatives. This includes enhancements to client’s proprietary AI/ML products and also developing & training new complex machine learning models.

Most commercially successful software applications are beginning to include artificial intelligence – from bots, online sales to algo-traders and other services, where past and general behavior can provide a better experience for each user. Much of the Artificial Intelligence used on the market right now was developed with the help of nearshore AI/ML teams – a natural result of the long-cultivated mathematical skills found in Central and Eastern Europe in general, and very much so in Romania, as well.

dotNear can provide nearshore AI/ML 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). We can help build, train, deploy and operate Machine Learning models fast.

Languages

  • Python, C/C++, R, Java, C#

 

Libraries and engines

Platforms

  • TensorFlow
  • Scikit Learn
  • Pytorch
  • Keras
  • KNIME 
  • Google AI Platform (Unified)
  • AWS Machine Learning, Amazon SageMaker
  • Microsoft Azure Machine Learning (Azure ML)
nearshore AIML teams - platforms used

Scope

  • Model Selection
  • Text mining & image mining
  • Association rules mining
  • Data preparation
  • Data preprocessing & visualization
  • Data loading & transformation
  • Classification
  • Clustering
  • Dataset enhancement
  • Dimensionality reduction
  • Regression
  • Recommenders
  • Distributed Linear Algebra
  • Distribution

Previous machine learning projects:

  • Natural Language Processing project to parse and analyze human trading information
  • Sales prediction algorithms based on historical data
  • Predictive maintenance algorithms
  • Image recommendations, using deep learning, computer vision, assisted and unassisted Learning large set of images
  • Social network filtering and recommendation
  • Computer vision components for driverless car systems
  • Various virtual assistants (multi-intent language interpretation)