Top Stories, May 14-20: Data Science vs Machine Learning vs Data Analytics vs Business Analytics; Implement a YOLO Object Detector from Scratch in PyTorch

[unable to retrieve full-text content]Also: An Introduction to Deep Learning for Tabular Data; 9 Must-have skills you need to become a Data Scientist, updated; GANs in TensorFlow from the Command Line: Creating Your First GitHub Project; Complete Guide to Build ConvNet HTTP-Based Application
Original Post: Top Stories, May 14-20: Data Science vs Machine Learning vs Data Analytics vs Business Analytics; Implement a YOLO Object Detector from Scratch in PyTorch

How to Implement a YOLO (v3) Object Detector from Scratch in PyTorch: Part 1

[unable to retrieve full-text content]The best way to go about learning object detection is to implement the algorithms by yourself, from scratch. This is exactly what we’ll do in this tutorial.
Original Post: How to Implement a YOLO (v3) Object Detector from Scratch in PyTorch: Part 1

How to Organize Data Labeling for Machine Learning: Approaches and Tools

[unable to retrieve full-text content]The main challenge for a data science team is to decide who will be responsible for labeling, estimate how much time it will take, and what tools are better to use.
Original Post: How to Organize Data Labeling for Machine Learning: Approaches and Tools

50+ Useful Machine Learning & Prediction APIs, 2018 Edition

[unable to retrieve full-text content]Extensive list of 50+ APIs in Face and Image Recognition ,Text Analysis, NLP, Sentiment Analysis, Language Translation, Machine Learning and prediction.
Original Post: 50+ Useful Machine Learning & Prediction APIs, 2018 Edition

The Value of Semi-Supervised Machine Learning

[unable to retrieve full-text content]This post shows you how to label hundreds of thousands of images in an afternoon. You can use the same approach whether you are labeling images or labeling traditional tabular data (e.g, identifying cyber security atacks or potential part failures).
Original Post: The Value of Semi-Supervised Machine Learning

Generative Adversarial Networks, an overview

[unable to retrieve full-text content]In this article, we’ll explain GANs by applying them to the task of generating images. One of the few successful techniques in unsupervised machine learning, and are quickly revolutionizing our ability to perform generative tasks.
Original Post: Generative Adversarial Networks, an overview