Random Forests vs Neural Networks: Are you overcomplicating?Random forests and neural networks are two popular machine learning algorithms used for classification and prediction tasks. While both…Apr 4, 2023Apr 4, 2023
A peek inside the magical ChatGPTDue to ChatGPT’s seeming magic-like capabilities to do anything and everything, it has generated a lot of “attention” (pun intended). It…Jan 29, 2023Jan 29, 2023
Loss functions vs Metrics: The subtle distinctionsTo optimally train a neural network it is crucial to select the right loss function and evaluation metrics.Dec 12, 20221Dec 12, 20221
Published inDevOps.devYAML Quickstart: Only things you need to get startedYAML is a data serialization language that is widely used for writing configuration files, making it a must-know language. Data…Jun 23, 20221Jun 23, 20221
MLOps: A brief introductionMachine learning is being used by many companies and businesses to improve their products and services. A machine learning model is created…Apr 20, 2022Apr 20, 2022
Beyond Gradient DescentAn overview of Stochastic, Momentum and Nesterov Accelerated Gradient DescentMar 12, 2022Mar 12, 2022
How Dropout helps regularize deep neural networksDeep learning has resulted in deeper and wider neural network architectures, increasing the number of trainable parameters. However, models…Mar 6, 2022Mar 6, 2022
The unprecedented rise of language modelsSince its introduction in 2017, transformers with its self-attention mechanism have revolutionized the fields of Natural Language…Feb 28, 2022Feb 28, 2022
