Using Google Colab for Deep Learning
Using Google Colab for Deep Learning: A Comprehensive Guide Introduction to Google Colab Google Colab (Colaboratory) is a free cloud-based Jupyter notebook environment provided by Google. It enables users to….
Using Google Colab for Deep Learning: A Comprehensive Guide Introduction to Google Colab Google Colab (Colaboratory) is a free cloud-based Jupyter notebook environment provided by Google. It enables users to….
PyTorch Basics: A Comprehensive Guide Introduction to PyTorch PyTorch is an open-source deep learning framework developed by Facebook’s AI Research (FAIR) lab. It provides an easy-to-use platform for tensor computations,….
Kubernetes for Scalable ML Models: A Comprehensive Guide Introduction to Kubernetes for Machine Learning Kubernetes (K8s) is an open-source container orchestration platform that automates the deployment, scaling, and management of….
Sentiment Analysis is a Natural Language Processing (NLP) technique used to determine whether a given text expresses a positive, negative, or neutral sentiment. Installing Required Libraries pip install nltk textblob….
Natural Language Processing (NLP) is a field of Artificial Intelligence that enables computers to understand, interpret, and respond to human language. Installing Required Libraries pip install nltk Step 1: Importing….
Transformers in Deep Learning: A Detailed Explanation Transformers have revolutionized the field of deep learning, especially in Natural Language Processing (NLP), by providing a highly parallelizable and scalable architecture for….
Long Short-Term Memory Networks (LSTMs): Detailed Explanation Long Short-Term Memory Networks (LSTMs) are a specialized type of Recurrent Neural Networks (RNNs) that are specifically designed to overcome the limitations of….
DBSCAN Clustering: A Comprehensive Guide 1. Introduction to DBSCAN DBSCAN (Density-Based Spatial Clustering of Applications with Noise) is an unsupervised machine learning clustering algorithm that groups together points that are….
Gradient Boosting (XGBoost, LightGBM, CatBoost) in Machine Learning 1. Introduction to Gradient Boosting Gradient Boosting is a powerful ensemble learning technique used in machine learning for classification and regression tasks…..
Naïve Bayes Classifier in Machine Learning 1. Introduction to Naïve Bayes Classifier The Naïve Bayes (NB) classifier is a probabilistic machine learning algorithm used for classification tasks. It is based….