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Getting Started with Audio Data Analysis using Deep Learning (with case study)
This article gets you started with audio data. This includes audio and voice data analysis using deep learning with case study on various sounds.
Faizan Shaikh 27 Aug, 2021
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Introduction to Genetic Algorithm & their application in data science
Explore Genetic Algorithms. Learn the basics, steps, and easy implementation using the TPOT library explained in simple terms. Easy insights for understanding!
shubham.jain 17 Oct, 2024
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Debugging & Visualising training of Neural Network with TensorBoard
Tensorboard helps to train NN models. This article is an overview of tensorboard and a framework for training a neural network using tensorboard with keras.
Faizan Shaikh 24 May, 2020
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Covariate Shift – Unearthing hidden problems in Real World Data Science
Covariate / Dataset shift occurs when variables / environment between your test & train data changes. This poses a problem in solving real life problems.
shubham.jain 21 Oct, 2024
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Top 30 Linear Regression Interview Questions & Answers for Data Scientists (Updated 2026)
Master Linear Regression with 30 essential questions on models, coefficients, and intercepts to ace your next Data Science interview!
Ankit Gupta 27 Dec, 2025
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Hands on with Deep Learning – Solution for Age Detection Practice Problem
This article provides a simple deep learning based solution to Age detection problem. This includes use of neural networks & keras to predict age of person
Faizan Shaikh 26 Jul, 2020
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Introductory guide to Generative Adversarial Networks (GANs) and their promise!
An introduction to generative adversarial networks and generative models. Beginners guide to understand how GANs work in computer vision.
Faizan Shaikh 02 Aug, 2024
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Getting started with Deep Learning using Keras and TensorFlow in R
Get started with deep learning with keras and tensorflow in r. Learn how to install keras with tensorflow in R & build a neural network model on MNIST dataset.
NSS 24 May, 2020
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An Intuitive Understanding of Word Embeddings: From Count Vectors to Word2Vec
Word embeddings are techniques used in natural language processing. This includes tools & techniques like word2vec, TD-IDF, count vectors, etc. Explore Now!
NSS 07 Apr, 2025
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Transfer Learning Using Pre-trained Models in Deep Learning
Learn about transfer learning, pre-trained models, their benefits, usage, fine-tuning techniques, and projects for identifying digits.
Dishashree Gupta 30 Jan, 2025
