Data Science Digest

2020-07-07 20:20:06 Anti-Patterns in NLP (8 types of NLP idiots)

In this talk, you will learn about common anti-patterns that happen in the industry while solving text problems.

https://bit.ly/31SwxQf Open / Comment

2020-06-10 17:00:05 OpenCV Social Distancing Detector

In this tutorial, you will learn what social distancing is and how OpenCV and deep learning can be used to implement a social distancing detector.

https://bit.ly/2ULzAWb Open / Comment

2020-06-10 10:00:09 The Ultimate Guide to Deploying Machine Learning Models

This multi-part series is a great resource for learning about model deployment. Covers a variety of topics, including common pitfalls, interfaces, model registries, A/B testing and more.

https://bit.ly/3cNSGB3 Open / Comment

2020-06-09 15:18:45 Data Science Digest (June 2020)

Hi folks, I’m happy to share with you the latest Data Science Digest issue featuring Data Science & Machine Learning goodies for June 2020. Please upvote on Habr and applaud on Medium.

Habr (RU) — https://bit.ly/30lGGUR
Medium (EN) — https://bit.ly/3f4xbNS Open / Comment

2020-06-09 10:00:05 How to Do Data Exploration for Image Segmentation and Object Detection

In this article, the author will share with you how he approaches data exploration for image segmentation and object detection problems.

https://bit.ly/3cL9IQf Open / Comment

2020-06-08 17:00:07 Using AI to predict retinal disease progression

In this post, you will learn about AI system that can predict the development of exAMD which was created by DeepMind in collaboration with Moorfields Eye Hospital and Google Health.

https://bit.ly/2MEbnwv Open / Comment

2020-06-08 10:26:04 Catalyst 101 — Accelerated PyTorch

In this post, you will learn about Catalyst framework, developed with focus on reproducibility, fast experimentation, and code/idea reusing.

https://bit.ly/2Yah4r7 Open / Comment

2020-06-07 17:00:05 How to Use Polynomial Feature Transforms for Machine Learning

In this tutorial, you will discover how to use polynomial feature transforms for feature engineering with numerical input variables.

https://bit.ly/3h3dUy8 Open / Comment

2020-06-07 10:10:03 How to Scale Data With Outliers for Machine Learning

In this tutorial, you will discover how to use robust scaler transforms to standardize numerical input variables for classification and regression.

https://bit.ly/3eZginS Open / Comment