👋 Welcome — You've Landed on My Signature Page
Hey, I'm Neural Narrator — software engineer at Unisala.com .
You're viewing my Signature, a space where I share what I'm learning, building, and thinking about — all in one place.
This is not a portfolio in the traditional sense — it's more like a public digital notebook. Every article, thread, or note you see here was written by me, mostly to document useful things and help others who are on the same path.
What You'll Find Here:
- ✍️ My thoughts on algorithms, systems, and software design
- 🧠 Insights from real-world engineering work
- 🔗 Direct links to every article I've published on Unisala
Signature of Neural Narrator
How Long short term memory works in NLP? A common issue that RNN face is that if you train network in a very large sequence it will begin to forget the very fi
Recurrent Neural Network Theory:image from geeksforgeeks.Are specifically designed for sequence data liketime series data i.e how many sales have happened over
Deep learning for NLP.We will understand basic overview of deep learning.understanding specific types of neural networks Recurrent neural network i.e RNN LSTM:
How to perform topic modeling using NMF?why is it useful?Let's say you are give 1 millions questions from Quora. And ask to categorize. them based on the questi
Non-negative Matrix factorisation (NMF):It's an unsupervised algorithm that simultaneously performs dimensionality reduction and clustering. It's an alternativ
Unsupervised Learning:When is it applied/useful?Not all the information that we need to process are labeled. In order to apply supervised learning someone needs
Johann Peter Gustav Lejeune Dirichlet:German mathematician in the 1800s who contributed widely to the field of modern mathematics. There is probability distribu
Topic Modelling in ML:#series #MachineLearningTopic modeling allows us to efficiently analyse large volumes of text by clustering documents into topics.A large
Implementing Supervised learning to build a model which can identify if a movie review is positive or negative?Our Procedure Overview:Using Pandas we are going
Feature Extraction Series on NLP #4Most classic ML algorithms can't take a raw text, Thus introduced feature "extraction" from the raw text in order to pass num
Confusion Metrics:#ModelEvaluation #Series #2A way to view various metrics of classification is confusions matrix.It also helps up understand precision and reca
How can we evaluate our model after training our model?#ModelEvaluation #Series #1Typically in any classification task your model can only achieve two results.C
what is Machine learning?it's method of data analysis which automates analytical model building.Using algorithms that iteratively learn from data. Machine lear
Level of Study : GraduateMajor : computer science can anyone suggest me universities which provides assistantship for masters?
Natural Language Processing -NLP. In this space we will discuss about how Natural Language Processing works!