Natural Language Processing
Ridge Regression for Beginners
In this article, we will cover the basics of Ridge regression. The main advantage of Ridge regression is to avoid...
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A Comprehensive Guide to the RBF Kernel in Machine Learning
Kernel methods are a powerful set of machine learning algorithms that can be used to solve both classification and regression...
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A Comprehensive Guide on Attention-Based RAG
The advanced model Attention-Based RAG (Retrieval-Augmented Generation) extends RAG principles through attention mechanisms to improve both retrieval precision and document...
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Top 10 Best AI Companies in 2024
In our fast-changing world, new ideas are really important for making progress. One big idea that’s changing things a lot...
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10 Underrated AI Tools That Will Change Your Life and Business
In this blog post, we will explore ten underrated and less-known AI tools that have the potential to revolutionize your...
Read More βResNet(Residual Networks) Explained – Deep Learning
In this blog post, we will explore the concept of residual networks in deep learning. Residual networks, also known as...
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10 Common Data Science Interview Questions and How to Answer Them?
Data science has become a very competitive field and it is important to prepare for data science interviews if you...
Read More βTop 5 Natural Language Processing Libraries for Data Scientist
In this blog post we are going to talk about Natural Language Processing (NLP) which is one of the branches...
Read More βDay 8: Text Classification with NaΓ―ve Bayes
Text Classification is a popular technique used in Natural Language Processing to categorize text documents into predefined categories. NaΓ―ve Bayes...
Read More βDay 7: Building a Sentiment Analysis Model
In today’s world, where social media is the new norm, analyzing the sentiment behind the text has become important for...
Read More βDay 6: Word Embeddings: an overview
Word embeddings are a powerful technique in natural language processing which can help us represent words in a more meaningful...
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POS Tagging and Named Entity Recognition in NLP with Python
If you’ve ever wondered how Google knows that “Paris” in one sentence means a city in France, and in another...
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