PinnedOlga ChernytskainTowards Data ScienceBuilding Better ML Systems. Chapter 1: Every project must start with a plan.About ML project lifecycle, designs doc, business value, and requirements. About starting small and failing fast.9 min read·Apr 20, 2023--1--1
PinnedOlga ChernytskainTowards Data ScienceBuilding Better ML Systems. Chapter 2: Taming Data Chaos.About data-centric AI, training data, data labeling and cleaning, synthetic data, and a bit of Data Engineering and ETLs.12 min read·May 24, 2023--1--1
PinnedOlga ChernytskainGeek CultureLearn To Implement Papers: Beginner’s GuideStep-by-step instructions on how to understand Deep Learning papers and implement the described approaches.7 min read·Dec 17, 2021--4--4
Olga ChernytskainTowards Data ScienceBuilding Better ML Systems — Chapter 4. Model Deployment and BeyondAbout deployment, monitoring, data distribution drifts, model updates, and tests in production.13 min read·Sep 28, 2023--5--5
Olga ChernytskainTowards Data ScienceBuilding Better ML Systems — Chapter 3: Modeling. Let the fun beginAbout baselines, experiment tracking, proper test sets, and metrics. About making the algorithm work.15 min read·Aug 25, 2023----
Olga ChernytskainTowards Data ScienceTraining YOLO? Select Anchor Boxes Like ThisReview of the algorithm for automatic anchor selection in YOLOv5 and YOLOv76 min read·Aug 18, 2022--1--1
Olga ChernytskainTowards AIExplainable Defect Detection Using Convolutional Neural Networks: Case StudyTrain object detection model without having any bounding boxes labels. This post shows the power of Explainable AI.10 min read·Jan 17, 2022----
Olga ChernytskainGeek CultureExplainable Defect Detection Using Convolutional Neural Networks: Case StudyTrain object detection model without having any bounding boxes labels. This post shows the power of Explainable AI.10 min read·Jan 14, 2022----
Olga ChernytskainTowards AIDeep LearningLearn To Implement Papers: Beginner’s Guide7 min read·Dec 23, 2021--1--1
Olga ChernytskainTowards Data ScienceExplainable Defect Detection Using Convolutional Neural Networks: Case StudyTrain object detection model without having any bounding boxes labels. This post shows the power of Explainable AI.10 min read·Dec 12, 2021--2--2