Machine learning
and AI

Even though AI was founded more than 60 years ago, it has exploded very recently. This mostly has to do with the emergence of powerful hardware, cloud and mobile technologies that allow handling and processing of Big Data.

Lemberg team leverages these opportunities to develop Machine Learning (ML) algorithms that turn Big Data into meaningful information for the end users. Reach out to us to learn how your product can generate exceptional value powered by AI.

Our expertise

Lemberg's ML & AI Team combines academic Data Science knowledge and excellent IT engineering skills. 

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Project types

Activity trackers

Chatbots

Autonomous vehicles 

Smart wearables

Robotics

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Technical expertise

Raw data collection and pre-processing

Mathematical modeling and neural network training

ML implementation (API, SDK, etc.)

7 steps of Machine Learning

Group 5 Copy 2 Created with Sketch. 1 Frame the Problem Identify key business challenges and desired goals 2 Collect Data Collect all data provided and find out additional data points 3 Evaluate the Quality Structure collected data and perform data clean-up to improve accuracy 4 Preprocess Data Evaluate quality of collected data to understand how it will impact available training sets 5 Use Chosen Machine Learning Algorithm Select optimal machine learning algorithms, in case of neural network – design the topology, then train the network and perform results analysis 6 Implement Informational Model Wrap up the data model in a library and then integrate it with a business product (app, backend or firmware) 7 Evaluate Modelling Result Evaluate final results, iterate and continuously improve your data model

Data science team

Lemberg's Machine Learning team

Data science team

Experience in consumer, industrial and medical projects

Took part in academic and commercial research

Own tool-set for data analysis and cleanup

 

Technologies we use

Contact us

Please tell us more about yourself and your project.

Lou Dutko
Chief Technology Officer