MFCC (Mel-Frequency Cepstral Coefficients) magnitude reveals key audio characteristics:Magnitude Insights indicate:Feb 420Feb 420
What is prosodyProsody is the study of the rhythm, stress, and intonation of speech. Essentially, it’s the “music” or “melody” of spoken language — how a…Jan 19Jan 19
Problems with RNN and how attention weights solved this?Tthe attention mechanism is indeed inspired by the idea of context in Recurrent Neural Networks (RNNs), but it represents a more flexible…Jan 19Jan 19
Attenuating in audio means?The phrase “while attenuating others” typically refers to the process of reducing or weakening certain signals, components, or features…Jan 18Jan 18
Salient Features in Machine LearningIn machine learning, salient features are the most important or influential attributes within a dataset that significantly contribute to…Jan 18Jan 18
word2vec VS GloveWord2Vec and GloVe are both prominent techniques for generating word embeddings — vector representations of words that capture semantic…Jan 71Jan 71
What is static embedding?Static embeddings are pre-trained, fixed representations of words or tokens in a continuous vector space. Each word is assigned a specific…Jan 720Jan 720
QuantizationQuantization in the context of AI and machine learning refers to the process of reducing the precision of the numbers used to represent a…Nov 14, 20242Nov 14, 20242
10questions about logistic regression1. What is logistic regression, and how does it differ from linear regression?Oct 19, 2024Oct 19, 2024
What is Transformers?Transformers is a revolutionary AI architecture introduced in 2017 by Vaswani et al. It transformed (hence the name) the field of Natural…Oct 13, 2024Oct 13, 2024
WEATHER OBSERVATION Station 5 hackerrankQuery the two cities in STATION with the shortest and longest CITY names, as well as their respective lengths (i.e.: number of characters…Oct 13, 2024Oct 13, 2024
Exploring Low-Parameter Architectures in Machine LearningLow-parameter models can be beneficial for various applications, and there are several strategies and techniques that can lead to a…Oct 13, 2024Oct 13, 2024
YAMNET for audio classificationPre-trained Model: YAMNet is a deep learning model trained to predict 521 audio event classes.Oct 12, 2024Oct 12, 2024
🌐 Navigating the Challenges of Sparse Data 📉Sparse data is a common hurdle faced by data scientists and machine learning practitioners. But what does it mean, why does it happen, and…Oct 9, 2024Oct 9, 2024
🌟 Dealing with High-Dimensional, Low-Sample Size (HDLSS) Data: Strategies for Success! 📊In the realm of data science and machine learning, encountering **High-Dimensional, Low-Sample Size (HDLSS) data can be a challenging yet…Oct 9, 2024Oct 9, 2024
What is Residual Sum of Squares (RSS)in regression?RSS stands for “Residual Sum of Squares. It’s a common measure used in statistics and regression analysis to assess how well a model fits…Oct 9, 2024Oct 9, 2024
BERT VS T5BERT (Bidirectional Encoder Representations from Transformers) and T5 (Text-to-Text Transfer Transformer) are both highly influential…Oct 8, 2024Oct 8, 2024