Today’s ML fact talks about how machine learning, in specific, deep learning helps in detecting tumors. Typically convolutional neural networks (CNNs) are used to detect tumors in MRI images. Two common ways that people use CNN structures are either to build classification models or to use architectures such as U-net and Segnet […]
Thank you for being with us all this while! Refactored.ai has impacted thousands of lives, and now we are counting on you to take Refactored.ai to the next level. Out of over a 1000 different companies, we have been selected as one of the finalists in a deeply competitive process where winning might come down […]
Presenting our newest ML Fact illustration! While art has been a domain of human endeavor for a long time (and in many ways will be). Deep learning techniques have made a foray into the world of art albeit in small steps. Some of these emerged as unexpected and interesting results of attempting to understand what […]
Presenting our first #MLFact character – Neuro-girl! Let’s see what she has to say about #NeuralNetworks. Share your thoughts and comments! If you want to learn more, here are some resources! Understanding the Effective Receptive Field in Deep Convolutional Neural Networks: https://lnkd.in/d73UcQB The Emergence of a Fovea while Learning to Attend: https://lnkd.in/dvN8MJy A guide to receptive field […]
One of the simplest Data Science interview questions…What are the assumptions of Linear Regression?…This is one.
The sigmoid function, a special case of the logistic function, is widely used in various fields. We thought we would present a fun illustration of it pertaining to machine learning.
Heard of Hebbian Learning?
Thanks for joining us. Launching hashtag#MLFacts series. Enjoy the ride. Happy 4th.! Good company in a journey makes the way seem shorter. — Izaak Walton