Exploring Latent Word Vectors using Path Finding

Welcome to my latest post where we dive into the exciting world of natural language processing! One of the key tasks in NLP is understanding the relationships between words. In my previous post, I created a product recommendation system using word embeddings. Today, we’ll take it a step further and explore how we can use…

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Understanding Evolutionary Algorithms in Python

In this post, we will be diving into the world of context-free grammars to use in evolutionary algorithms. What is context-free grammar? Context-free grammar, also known as CFG, is a specific type of grammar used in computer science and linguistics. It is a set of production rules that define the structure of a language. CFG…

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How to Build a Product Recommendation System in Python

Want to boost sales and stand out from the competition? Implementing a recommendation system can be the key. In this blog post, we’ll show you how to build a product recommendation system using the Python programming language. We’ll be using a modified version of the popular word2vec algorithm to measure the similarity between products, helping…

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Word Segmentation in Python Using SentencePiece

What is word segmentation? Word segmentation, known as tokenization, involves breaking text into individual words, making it easier for computers to understand and analyze meaning. This task applies to various Natural Language Processing (NLP) applications such as language translation, text summarization, and sentiment analysis. In this post, we will explore using SentencePiece, a widely used…

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Optimizing Fast Food Orders: A Linear Programming Tutorial

What is linear programming? Linear programming is a powerful mathematical tool to optimize the mix of items in a set with associated costs and benefits. Constraints are used to form the feasible region, and the optimal solution is found at one of the corner points. This method is helpful in various fields, including Fast Food…

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