Machine Learning

Novapex Software Technologies has vast experience in cutting-edge technological innovations and technical research in the areas of AI, Machine Learning, Computer Vision and advanced media analysis & processing, anomaly detection, fraud detection, fault detection, system health monitoring, and recommender systems.
Usually each project has different requirement and hence different approach is required, including tools and algorithms. Here is the list of languages, frameworks and libraries we usually work with:

Programming Languages:

  • Java
  • Python
  • R
  • Matlab
  • C++.

Frameworks:

  • RapidMiner
  • Weka
  • Orange
  • Netlogo
  • Clementine
  • AnyLogic
  • Octave

Libraries:

  • Tensorflow
  • OpenCV
  • NumPy
  • Torch
  • Scikit-learn
  • Pandas
  • CUDA
  • Keras
  • Theano

Cloud Solutions for Machine Learning:

We can also provide cloud-based Machine Learning solutions as per customer requirements:

  • Amazon Deep Learning AMI
  • Google Cloud AutoML
  • Google Cloud ML Engine
  • Google Cloud Vision API
  • Microsoft Machine Learning Studio
  • Microsoft Azure AI

Mathematical Methods and Algorithms:

We also have excellent skill and vast experience of working on different mathematical methods and algorithms, such as:

  • Support Vector Machine (SVM).
  • Clustering (k-means, DBSCAN, Gaussian mixture, Birch).
  • Linear Regression.
  • Naive Bayes.
  • Convolutional Neural Networks (CNN).
  • Recurrent Neural Networks (RNN).
  • Genetic Algorithms.
  • Principal Component Analysis and many other Algorithms.