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Machine Learning

Our experience shows that in almost every business, whether new or old, you can find processes that can be optimized with AI or ML. We help our partners automate processes and speed up products, thereby allowing the freed-up human potential to be channelled to something more important.

The number of tasks solved by artificial intelligence or machine learning algorithms is growing every day. And we help our partners not to get confused by the new possibilities. Our team works hand in hand with our clients to explore the potential of introducing AI/ML into their current projects, in terms of increasing quality, automating processes, improving productivity, improving data analysis, and accelerating big data processing.

Use cases:

  • Automation of the survey processing process
  • Predicting trends
  • Scoring
  • Text recognition

We solve problems:

  • Classification and regression
  • Clustering
  • Natural Language Processing
  • Reinforcement Learning
  • Recommender Systems
  • Time series forecasting

We have experience with:

  • Regression models
  • Support vector machines
  • Bayesian methods
  • Decision trees and random forests
  • Deep Learning and Artificial Neural Networks: CNN, RNN

Technology expertise:

  • Natural language processing: Keras, NLTK, spaCy, Pattern
  • Prediction and analysis: Pandas, Scikit-learn, XGBoost, Lightgbm, Catboost
  • Deep machine learning: TensorFlow, Keras, PyTorch

Areas of experience:

  • Document classification
  • Regression and forecasting
  • Anomaly detection
  • Natural language understanding

Typical AI and ML Project Lifecycle

  • Business Analysis
  • Data Analysis
  • Data Preparation
  • Modelling
  • Evaluation
  • Deployment