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Sep 15, 2026Day 18: Recurrent Neural Networks (RNNs) Explained
Previously, on Day 17: Explained the structure and function of neural networks, including neurons,...
Sep 15, 20265 min read0 reactions0 comments
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Sep 13, 2026
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#100daysofcode
Week 13 of #100DaysOfCode: Completing Spring Microservices and Starting JUnit 5
Introduction This week was another challenging but rewarding part of my #100DaysOfCode...
Sep 13, 20265 min read10 reactions0 comments
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Sep 13, 2026Day 17: Neural Networks Refresher for NLP Engineers
What Are Neural Networks? A neural network is a way to model data by stacking layers of...
Sep 13, 20265 min read0 reactions0 comments
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Sep 12, 2026Day 16: Cosine Similarity and Semantic Search Basics
Previously, on Day 15: Explained why visualizing word embeddings is useful, introduced the challenges...
Sep 12, 20265 min read0 reactions1 comments
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Sep 9, 2026Day 13: GloVe: Global Vectors for Word Representation
Previously, on Day 12: Explained how Word2Vec models generate word embeddings using skip-gram and...
Sep 9, 20266 min read0 reactions0 comments
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Sep 9, 2026Day 14: FastText and Subword Embeddings
What Are Word Embeddings? Words like "cat," "run," or "happiness" are just symbols to a...
Sep 9, 20265 min read0 reactions0 comments
Week 12 of #100DaysOfCode: Exploring Spring Cloud and Microservices Infrastructure
Introduction This week was another challenging but rewarding part of my #100DaysOfCode...
Sep 6, 20264 min read5 reactions0 comments
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Sep 6, 2026Day 12: Word2Vec Explained: Skip-Gram and CBOW
Previously, on Day 11: Explained one-hot encoding as a method for representing words as sparse...
Sep 6, 20265 min read0 reactions0 comments
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Sep 10, 2026Day 15: Visualizing Embeddings with t-SNE and PCA
Previously, on Day 14: Explained how word embeddings represent words as vectors, the limitations of...
Sep 10, 20265 min read1 reactions1 comments
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Sep 4, 2026Day 11: Why One-Hot Encoding Fails: The Case for Embeddings
What is One-Hot Encoding? Computers need numbers, not words. To process language, we first turn...
Sep 4, 20263 min read1 reactions0 comments
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Sep 3, 2026Day 10: Evaluation Metrics for NLP: Precision, Recall, F1, Confusion Matrix
Previously, on Day 9: Explained the fundamentals of text classification, focusing on bag-of-words...
Sep 3, 20265 min read1 reactions0 comments
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Sep 2, 2026Day 9: Text Classification with Naive Bayes and Logistic Regression
Previously, on Day 8: Explained Named Entity Recognition (NER), detailing its role in finding and...
Sep 2, 20266 min read0 reactions0 comments