Padmanabh ButalaMaking Sense of Audio Features with Librosa- Part 2: Fourier TransformIn the first part of our series “Making Sense of Audio Features with Librosa,” we delved into the basics of audio signal analysis by…Jul 22Jul 22
Padmanabh ButalaMaking Sense of Audio Features with Librosa: Amplitude Envelope, RMSE, and Zero Crossing RateAs someone currently navigating the early stages of learning audio machine learning, I understand the challenges and frustrations of trying…Jun 9Jun 9
Padmanabh ButalaUnderstanding Backpropagation in Neural Networks: The Mathematics Behind ItIntroductionMay 23May 23
Padmanabh ButalaActivation Functions in Neural Networks: All You Need to KnowWhen I first started learning about neural networks, there was one thing that stumped me: why do we need activation functions? After all…Apr 8Apr 8
Padmanabh ButalaUnderstanding Optimizers in Neural Networks: A Journey Through Mathematics and BeyondWhen I first began my journey into the world of neural networks, I was intrigued by how these systems, inspired by the human brain, could…Mar 30Mar 30
Padmanabh ButalaThe Curse of Dimensionality: Navigating Through High-Dimensional SpacesDive into the essentials of dimensionality reduction, from feature selection to PCA and LDA, and master the art of simplifying complex data…Mar 15Mar 15
Padmanabh ButalaMastering Parametric Estimations: A deep dive into the StatisticsLaying down a basic foundation of parametric estimations with a primary focus on the mathematics behind it.Mar 111Mar 111
