A Brief History: Who Invented It? Imagine a flashlight being turned on in a dark room. Geoffrey Hinton’s work in the 2000s popularized rectifier activation functions, much like flipping the switch illuminated new pathways in deep learning. They’ve since become …
A Brief History: Who Developed It? Imagine a key that unlocks the door to modern machine learning. That key is the perceptron, introduced in 1958 by Frank Rosenblatt, a psychologist and computer scientist. Inspired by the workings of biological neurons, …
A Brief History: Who Developed Principal Component Analysis? Principal Component Analysis (PCA), first introduced by Karl Pearson in 1901, revolutionized data analysis by uncovering the underlying patterns in datasets. Harold Hotelling later extended its applications in the 1930s, cementing PCA …
The blog explains the history, functionality, and types of neural networks, detailing their applications and tools used in industries like healthcare, traffic optimisation, and economic modelling. It also emphasises the significance of neural networks in addressing challenges in machine learning.
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