How an Ancient Egyptian Game Predicted Modern AI
It was a long time ago when the ancient Egyptians played a game called Senet. The game featured 30 blocks distributed in a 3x10 grid—3 rows and 10 columns. The game pieces, which historians call ludem
Meemansha Priyadarshini
I am a certified Tensorflow Developer and I like learning about ML and AI. Following my passion of reading and writing.
Carpe diem!!
Latest articles
The Hidden History of Linear Regression: How a Lost Planet Gave Us the Bedrock of Machine Learning
Once upon a time, there was an astronomer named Giuseppe Piazzi. While looking through his telescope in January 1801, he observed a tiny, blinking dot in the night sky. He had just discovered Ceres, a
The Key to Using SQL
Understanding SQL keys
Data, Databases, DBMS and SQL: Understanding the Basics
When we hear the word data, a very familiar definition comes into our mind: Data is the collection of raw information. Anything which gives us some knowledge about a person, place, thing or event can
The Psychology of Customer Churn
What 7,043 Customers are Trying to Tell
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...
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...
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...
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...
