The steps for NLP (Natural Language Processing) typically include the following: Simple Example of NLP pipeline using python This example uses the NLTK library in python to perform tokenization, stop word removal, and stemming on a sample text. The output…
A Graph Neural Network (GNN) is a type of neural network that is designed to work with graph-structured data, such as data that represents relationships between entities. GNNs are typically used for tasks such as node classification, link prediction, and graph classification. A…
AI and ethics is a complex and multidisciplinary topic that involves issues related to the impact of AI on society, the responsibility of AI developers and users, and the alignment of AI with human values. One of the main concerns…
Lets Explore How Pearl is Transforming Theory into Practice: Lets Learn how to use it To install Pearl, you can simply clone this repo and pip install Let’s Start To kick off a Pearl agent with a classic reinforcement learning…
Reinforcement learning (RL) is a type of machine learning where an agent learns to make decisions by interacting with its environment and receiving feedback in the form of rewards or penalties. The agent’s goal is to learn a policy, which…
You can read the Article in detail here. QuickStart First, you want to install the environment (assuming that you have conda installed) Please use the pytorch version that is specified in the requirements. Otherwise, this may cause some problems when…
To use RETVec with TF Lite, it’s essential to have tensorflow_text version 2.13 or higher and tensorflow version 2.13 or higher. Instructions for upgrading TensorFlow can be found at the provided link. This notebook demonstrates the process of creating, saving,…
Explainable AI (XAI) is a branch of AI research that focuses on developing machine learning models that can be easily understood and explained by humans. The goal of XAI is to create models that are transparent, interpretable, and accountable, making…
One of my students ask me about this question, so I thought why not write a blog about it as it can help many beginners? One way to use Google Colaboratory for deep learning projects is to clone a GitHub…
The Naïve Bayes algorithm is one of the fundamental things to study when studying statistics of artificial intelligence. Here I’m going to explain naive Bayes. It is very basic algorithm, yet one of most usefulusefull untill now. Probability vs likelihood.…