Olga Chernytska

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Building 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.

Apr 20, 2023

Building Better ML Systems.
Chapter 1: Every project must start with a plan.

Apr 20, 2023

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TDS Archive

Building 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.

May 24, 2023

Building Better ML Systems.
Chapter 2: Taming Data Chaos.

May 24, 2023

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Geek Culture

Learn To Implement Papers: Beginner’s Guide

Step-by-step instructions on how to understand Deep Learning papers and implement the described approaches.

Dec 17, 2021

Learn To Implement Papers: Beginner’s Guide

Dec 17, 2021

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TDS Archive

Building Better ML Systems — Chapter 4. Model Deployment and Beyond

About deployment, monitoring, data distribution drifts, model updates, and tests in production.

Sep 28, 2023

Building Better ML Systems — Chapter 4. Model Deployment and Beyond

Sep 28, 2023

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TDS Archive

Building Better ML Systems — Chapter 3: Modeling. Let the fun begin

About baselines, experiment tracking, proper test sets, and metrics. About making the algorithm work.

Aug 25, 2023

Building Better ML Systems — Chapter 3: Modeling. Let the fun begin

Aug 25, 2023

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TDS Archive

Training YOLO? Select Anchor Boxes Like This

Review of the algorithm for automatic anchor selection in YOLOv5 and YOLOv7

Aug 18, 2022

Training YOLO? Select Anchor Boxes Like This

Aug 18, 2022

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Towards AI

Explainable Defect Detection Using Convolutional Neural Networks: Case Study

Train object detection model without having any bounding boxes labels. This post shows the power of Explainable AI.

Jan 17, 2022

Explainable Defect Detection Using Convolutional Neural Networks: Case Study

Jan 17, 2022

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Geek Culture

Explainable Defect Detection Using Convolutional Neural Networks: Case Study

Train object detection model without having any bounding boxes labels. This post shows the power of Explainable AI.

Jan 14, 2022

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Towards AI

Deep Learning

Learn To Implement Papers: Beginner’s Guide

Dec 23, 2021

Dec 23, 2021

Published in

TDS Archive

Explainable Defect Detection Using Convolutional Neural Networks: Case Study

Train object detection model without having any bounding boxes labels. This post shows the power of Explainable AI.

Dec 12, 2021