Shreya Rao

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Articles

Deep Dive into WebSockets and Their Role in Client-Server Communication

2 months ago | towardsdatascience.com | Clara Chong |Shreya Rao

Real-time communication is everywhere – live chatbots, data streams, or instant messaging. WebSockets are a powerful enabler of this, but when should you use them? How do they work, and how do they differ from traditional HTTP requests? This article was inspired by a recent system design interview – "design a real time messaging app" – where I stumbled through some concepts. Now that I’ve dug deeper, I’d like to share what I’ve learned so you can avoid the same mistakes.
Asian Wealth Management and Asian Private Banking

2 months ago | hubbis.com | Shreya Rao

In 2024, gold outperformed major currencies (EUR, JPY, CHF, CNY) and the S&P 500 as it served as a hedge against wars and reckless government policies in a year which will be remembered as the year of political hell. Investors globally were misled by fiat-driven equity market performances, masking losses when measured in gold terms.
NLP Illustrated, Part 3: Word2Vec

2 months ago | towardsdatascience.com | Shreya Rao

An exhaustive and illustrated guide to Word2Vec with code!Welcome to Part 3 of our illustrated journey through the exciting world of Natural Language Processing! If you caught Part 2, you’ll remember that we chatted about word embeddings and why they’re so cool. Word embeddings allow us to create maps of words that capture their nuances and intricate relationships.
Structured LLM Output Using Ollama

Dec 16, 2024 | towardsdatascience.com | Thomas Reid |Shreya Rao |Tarik Dzekman |Piero Paialunga

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NLP Illustrated, Part 2: Word Embeddings

Nov 26, 2024 | towardsdatascience.com | Shreya Rao

An illustrated and intuitive guide to word embeddingsWelcome to Part 2 of our NLP series. If you caught Part 1, you’ll remember that the challenge we’re tackling is translating text into numbers so that we can feed it into our machine learning models or neural networks. Previously, we explored some basic (and pretty naive) approaches to this, like Bag of Words and TF-IDF.
How to Answer Business Questions with Data

Nov 19, 2024 | towardsdatascience.com | Tessa Xie |Shreya Rao

"We have observed a drop in our core metric, what is going on?""What are the drivers for churn?"As data scientists, we encounter questions like these every day. A stakeholder comes across something they want to understand better, and they look to us to take an open-ended question like this and make sense of it. However, even seasoned data scientists are sometimes stunned by just how vague or open-ended these questions are.
Implementing Convolutional Neural Networks in TensorFlow

Aug 20, 2024 | towardsdatascience.com | Shreya Rao

Step-by-step code guide to building a Convolutional Neural NetworkWelcome to the practical implementation guide of our Deep Learning Illustrated series. In this series, we bridge the gap between theory and application, bringing to life the neural network concepts explored in previous articles. In today’s article, we’ll build a Convolutional Neural Network (CNN) using TensorFlow.
Implementing Neural Networks in TensorFlow (and PyTorch)

Jul 8, 2024 | towardsdatascience.com | Shreya Rao

Step-by-step code guide on building a Neural Network Welcome to the practical implementation guide of our Deep Learning Illustrated series. In this series, we'll bridge the gap between theory and application, bringing to life the neural network concepts explored in previous articles. Deep Learning, Illustrated Remember the simple neural network we discussed for predicting ice cream revenue? We will build that using TensorFlow, a powerful tool for creating neural networks.
Deep Learning Illustrated, Part 5: Long Short-Term Memory (LSTM)

Jun 21, 2024 | towardsdatascience.com | Shreya Rao

An illustrated and intuitive guide on the inner workings of an LSTMWelcome to Part 5 in our illustrated journey through Deep Learning!Today we’re going to talk about Long Short-Term Memory (LSTM) networks, which are an upgrade to regular Recurrent Neural Networks (RNN) which we discussed in the previous article. We saw that RNNs are used to solve sequence-based problems but struggle with retaining information over long distances, leading to short-term memory issues.
Long Short-Term Memory (LSTM)

Jun 21, 2024 | towardsdatascience.com | Shreya Rao