-
Architecture of Convolutional Neural Networks (CNNs) demystified
Convolutional neural network architecture and cnn image recognition. In this article, learn about convolutional neural networks and cnn to classify images.
Dishashree Gupta 24 May, 2020
-
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
-
Lasso and Ridge Regression in Python & R Tutorial
Learn the differences between ridge and lasso regression, linear regression basics, gradient descent, R-squared, regularization techniques,.
shubham.jain 20 Dec, 2024
-
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
-
Which algorithm takes the crown: Light GBM vs XGBOOST?
Explore Light GBM advantages, installation, important parameters, and how it compares to XGBoost. Learn tuning techniques. Read Now!
Pranjal 08 Jan, 2025
-
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
-
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
-
Building Trust in Machine Learning Models (using LIME in Python)
This article helps us understand working of machine learning algorithms using LIME package. Using LIME, you can understand working of black box ML models.
Guest Blog 01 Jun, 2017
-
Hands on tutorial to perform Data Exploration using Elastic Search and Kibana (using Python)
ElasticSearch and Kibana is a highly scalable and open source. This tutorial will help you perform exploratory data analysis using ElasticSearch and Kibana.
Guest Blog 27 Oct, 2024
-
22 must watch talks on Python for Deep Learning, Machine Learning & Data Science (from PyData 2017, Amsterdam)
PyData 2017 held in Amsterdam includes talks on machine learning, deep learning and NLP. The content involved applications, tools and hands-on sessions.
Sunil Ray 25 Jun, 2019
