Львівський ІТ Кластер - Найбільша спільнота ІТ-компаній
Quaternion Worlds
Description: MindCraft company creates AI / ML solutions based on Data Analysis that help companies analyze business data, invaluable customer insights
Oftentimes before we get to develop the Machine Learning Solution for Extracting Information, we need to test several approaches to see if it really is possible to solve the task and if yes, what the optimal solution would be. We develop the so-called PoC, Proofs of Concept, where we test various things applying just the minimum amount of effort to see if they work.
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.
DeepLearning classifier, LSTM, YOLO detector, Variational AutoEncoder, GAN – are these guys truly architectures in sense meta-programs or just wise implementations of ideas on how to solve particular optimization problems? Are machine learning engineers actually developers of decision systems or just operators of GPU-enabled computers with a predefined parameterized optimization program?
Львівський ІТ Кластер - Найбільша спільнота ІТ-компаній
Quaternion Worlds