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Tackle tackle business problems by using AI and ML

Machine Learning and AI

MACHINE LEARNING COMPETENCIES

TIME SERIES FORECASTING

With machine learning models trained on historical data, the tasks that demand forecasting, price predictions, seasonal fluctuations, and trends are solved much easier. Time series forecasting should become an integral part of the workflow for companies operating on markets with high volatility.

NATURAL LANGUAGE PROCESSING

CodeIT Machine Learning specialists create applications to recognize, process, and interpret unstructured written and oral natural language to extract meaningful information and value. We help companies from various industries improve their daily workflows using NLP outcomes.

COMPUTER VISION

Based on machine learning algorithms, image analysis solutions can understand visual content and extract relevant information pertaining to object identification, recognition, and evaluation.

RECOMMENDER SYSTEMS

Leveraging machine learning capabilities, our data science team implements recommender systems critical in delivering personalized customer experience. Recommender systems are indispensable for e-commerce sites due to their ability of offering relevant suggestions to users.

PREDICTIVE ANALYTICS

Predict market trends, behavior patterns, product sales, and more by extracting and analyzing past and present data. Predictive analytics will help predict and prevent potential issues, assess risks by ensuring better decision making.

ANOMALY DETECTION

The goal of anomaly detection is to identify unusual objects, events, or behavior in datasets that differ from the majority of data. The application of anomaly detection techniques is of great value in detecting intrusions, fraud, security issues, text data anomalies, health problems.

MACHINE LEARNING WORKFLOW
  • Define project requirements

  • Define task objective

DATA EXPLORATION

  • Discover data insights

  • Plot graphs, visualization

  • Domain knowledge reception

DATA PREPARATION

  • Data cleaning

  • Feature extraction

  • Feature selection

  • Build pre-processing pipeline

MODELING

  • Choose model

  • Define loss function and metrics

  • Parameter tuning

EVALUATION / VALIDATION

  • Performance scores estimation

  • Validation and test datasets evaluating

  • Cross-validation

DEPLOYMENT

  • Continuous model delivery

  • Prepare production-ready solution

  • Metrics logging

  • Performance monitoring

BUSINESS TASK
UNDERSTANDING

Let’s GROW YOUR BUSINESS Together