Machine Learning Development Company

Machine learning solutions are becoming increasingly popular with businesses as tools for extracting untapped value from vast amounts of data and boosting productivity by orders of magnitude. Self-taught systems sift through unstructured historical records easier, crunch the numbers faster, and help automate some of the most time-consuming tasks.

Our team will guide you on the path to your custom AI software, from the business requirements gathering stage to user training and maintenance of the ready solution.

 

OUR EXPERTISE IN AI DEVELOPMENT

With a team of Excellent AI developers, data scientists, engineers, and analysts in-house, we are ready to take on challenges of today’s artificial intelligence to produce accurate and feasible business results.

 

Artificial intelligence

Software that mimics human intelligence in a way that allows it to make decisions and solve problems. The engine of today’s AI is machine learning (ML).

 

AI CONSULTING

Our AI consultants team thoroughly analyze your requirements to help you develop an optimal AI strategy. Understanding the challenges and opportunities that your organization faces, we will advise on the most efficient implementation of AI-powered software for you.

 

AI BASICS

Information retrieval

Knowledge representation

Machine learning

 

AI ACHIEVEMENTS

  1. Predictive analytics
  2. Image analysis
  3. Natural language processing
  4. Behavior modeling

Machine learning

ML models are trained on large amounts of data to discover patterns underlying real-world problems. The models vary in complexity from linear regression to multi-layered (deep) neural networks.

 

ML MODELING

Our Machine Learning team can either deliver full-cycle AI software development on a turnkey basis or help your in-house team at any stage of the project. Our skilled and expert data scientists will leverage data processing frameworks and develop machine learning algorithms that are optimal for solving your business challenge.

 

ML MODELING

  1. Regression
  2. Support vector machine
  3. Process and methodology definition
  4. Decision trees and random forests
  5. Deep learning (CNN, RNN, etc.)

 

Data science

A set of techniques for processing, analyzing, and visualizing data. It can include ML at the analysis stage.

 

 

 

Deep learning

A subset of complex machine learning models: recurrent neural networks (RNN), convolutional neural networks(CNN) and others.

 

 

 

 

 

 

 

 

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virajsarode001

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