Machine Intelligence Laboratory·Apr 13, 2021OCR-decisions testing system by MIL TeamPoint out the main drawbacks of the existing OCR-decisions testing system and propose our own algorithm.
Machine Intelligence Laboratory·Apr 8, 2021Models, bugs & how can we discover them?In this tutorial, we are going to share the insights about quick and effective detection of bugs in the ML models' performance.
Machine Intelligence Laboratory·Feb 16, 2021Being outside: 5 reasons to launch the project with the external R&D teamIn this article, we discuss 5 main factors of making a decision about working with an external outsourced team.
Machine Intelligence Laboratory·Jan 22, 2021Relative regularization coefficients: ARTM & TopicNet usingBy reading this tutorial you will know how to use TopicNet and ARTM libraries for building topic models with regularizers.
Machine Intelligence Laboratory·Dec 20, 2020Divide and conquer: research and applied projects in MILWhy did we decide to separate our two main work directions: Applied AI & Research AI?
Machine Intelligence Laboratory·Dec 11, 2020The Magic of Denoise: subjective methods of audio quality evaluationSubjective methods evaluation of denoise models performance: advantages over algorithmic ones & two main metrics.
