Engines

Subject: Face recognitionData Science Areas: Computer Vision, Object Detection, Face Detection, Face RecognitionTools: Python, Dlib The Challenge Our clients approached...

MindCraft AI Research Lab is on a roll! MindCraft АI Research Lab This time our task was quite well-known –...

Introduction to Sales forecasting Engine Time-series Sales forecasting is one of the most important topics in every business, helping to...

Motivation: How Farm Automation Can Help Grow the Business More and more industries are undergoing digital transformation and seeing substantial...

Motivation why we choose points of interest (POI) Maps Services, like those in Google and Bing, usually provide us with...

Introduction challenge of Classifying SpaCy’s ORG Named Entities with Statistical Text Analysis Recently, we were tagging a lot of texts...

Introduction to Point Cloud Data  In recent years, there was great progress in the development of LIDAR detectors that resulted...

Active Learning is a semi-supervised technique that allows labeling less data by selecting the most important samples from the learning process (loss) standpoint. It can have a huge impact on the project cost in the case when the amount of data is large and the labeling rate is high. For example, object detection and NLP-NER problems.The article is based on the following code: Active Learning on MNIST (more…)

Subject: Automated Document Classification, Document Capturing, Data Extraction, AI Document RecognitionBusiness Areas: Banking, FinTech, RetailData Science Areas: Computer Vision, Machine...

Subject: Price Prediction System, Prediction Accuracy Evaluation, Deep LearningData Science areas: Feature Analysis, Estimators, Machine LearningArchitectures: Linear Regression, Boosting Regressors,...