The Psychology of Customer Churn
What 7,043 Customers are Trying to Tell
Jul 30, 20269 min read1
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Max Pooling Explained: A Simple Guide
It's one of those clever tricks in the art of artificial intelligence that can see, and it's called max pooling. It's an important component of how computers learn to recognize things in photographs, ranging from detecting a cat in an image to more a...
Jul 15, 20253 min read2
Understanding Convolution in Neural Networks: Filters, Padding, and Strides
Convolutional Neural Networks (CNNs) are at the heart of modern computer vision. They excel at tasks like image classification, object detection, and more, thanks to their ability to automatically extract features from images. In this blog, we'll bre...
Jul 8, 20255 min read7
The Cat Experiment That Changed Everything
In the late 1950s and early 1960s, two scientists, David Hubel and Torsten Wiesel, wanted to understand how the brain processes images. They conducted a groundbreaking experiment on cats. The cats were given anesthesia that kept their brains awake bu...
Jul 4, 20253 min read4
Getting to Know Convolutional Neural Networks (CNNs): How Images Are Recognized In today's AI-driven world
Convolutional Neural Networks (CNNs) are revolutionizing the way machines interpret visual data. Whether it's identifying faces, detecting objects, or segmenting images pixel-by-pixel, CNNs are the core technology powering these intelligent applicati...
Jul 1, 20253 min read6
The Math Behind K-Means Clustering: A Simplified Overview
The computer scientist Yann LeCun famously said that if intelligence was a cake, unsupervised learning would be the cake , supervised learning would be the icing and reinforcement learning would be the cherry on the cake. So, here we are dealing with...
Nov 30, 20243 min read16
Deciding Between Standardization and Normalization: Key Guidelines
When working on Machine Learning projects, we often need to adjust the data to make algorithms run faster and more efficiently. This adjustment involves methods like Normalization and Standardization. Normalization $$X normalized = X-Xmin/Xmax- Xmin$...
Nov 18, 20242 min read10
Difference between Sequential and Functional API
Sequential API Layers are added sequentially, one after the other. The Sequential API does not support creating complex, branched models. It is designed specifically for models with a single input and a single output. You just need to add layers sequ...
Sep 18, 20241 min read3
How to Start a Machine Learning Problem
Production Cycle of Machine Learning
Aug 1, 20242 min read3