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Saptashwa Bhattacharyya

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Published in

Towards Data Science

·Pinned

Latent Variables & Expectation Maximization Algorithm

Bayesian Approach to Machine Learning — ‘Latent’, originated from Latin which means being hidden. Probably you have all known about latent heat, which is the heat energy required for phase transformation keeping the temperature constant. So we observe a change, but the reason behind it is apparently hidden. The motivation for Latent Variable Model (LVM) is…

Machine Learning

14 min read

Latent Variables & Expectation Maximization Algorithm
Latent Variables & Expectation Maximization Algorithm
Machine Learning

14 min read


Published in

ILLUMINATION

·6 days ago

We May Not be Good at Recognizing Love Songs

But Good at Dance and Lullabies — A recent study by Yale researchers revealed that we humans are pretty good at recognizing a musical theme across different languages and cultures, except love songs. The research, published in a recent issue of Proceedings of National Academy of Sciences (PNAS), one of the most reputed journals, was based on…

Music

3 min read

We May Not be Good at Recognizing Love Songs
We May Not be Good at Recognizing Love Songs
Music

3 min read


Published in

The Taoist Online

·Aug 31

The Impermanence of Life Is Why It’s So Special

Nothing Lasts Forever & It’s So Necessary! — As the morning golden lights slowly shifted from one peak to another and the softness turned into rugged brightness, I knew the fleeting morning glory was gone forever. Going to many solo hikes made me realize the moments when you suddenly feel happy as you catch a glimpse of a…

Philosophy

3 min read

The Impermanence of Life Is Why It’s So Special
The Impermanence of Life Is Why It’s So Special
Philosophy

3 min read


Published in

Towards Data Science

·Aug 17

Ensemble of Classifiers: Voting Classifier

Combine many different models for better Prediction — The word Ensemble in the context of ML refers to a collection of a finite number of ML models (may include ANN), trained for the same task. Usually, the models are trained independently and then their predictions are combined. When the predictions from different models differ, it is sometimes more…

Machine Learning

7 min read

Ensemble of Classifiers: Voting Classifier
Ensemble of Classifiers: Voting Classifier
Machine Learning

7 min read


Published in

A Bit of Qubit

·Aug 7

Variational Principle in Quantum Mechanics

Basis of Variational Quantum Eigensolver — If you are in the early stages of studying Quantum Mechanics then you know simpler problems like a particle in a box (infinite potential barrier problem) or a Hydrogen atom, the time-independent Schrodinger Equation can be solved exactly but these are examples of idealized systems. But for general systems, it…

Quantum Computing

6 min read

Variational Principle in Quantum Mechanics
Variational Principle in Quantum Mechanics
Quantum Computing

6 min read


Published in

Towards Data Science

·Jul 12

Probabilistic View of Principal Component Analysis

Latent Variables, Expectation-Maximization & Variational Inference — One of the primarily used dimension reduction techniques in data science and machine learning is Principal Component Analysis (PCA). Previously, We have already discussed a few examples of applying PCA in a pipeline with Support Vector Machine and here we will see a probabilistic perspective of PCA to provide a…

Machine Learning

9 min read

Probabilistic View of Principal Component Analysis
Probabilistic View of Principal Component Analysis
Machine Learning

9 min read


Published in

Towards Data Science

·Mar 8

New Scikit-Learn is More Suitable for Data Analysis

Pandas Compatibility and More in Scikit-Learn Version ≥1.2.0 — Around last year December, Scikit-Learn released a major stable update (v. 1.2.0–1) and finally I get to try some of the highlighted new features. It’s now more compatible with Pandas and a few other features will also help us in regression as well as classification tasks. Below, I go through…

Data Science

5 min read

New Scikit-Learn is More Suitable for Data Analysis
New Scikit-Learn is More Suitable for Data Analysis
Data Science

5 min read


Published in

Towards Data Science

·Feb 21

Understand & Implement Masked AutoRegressive Flow with TensorFlow

Flow-Based Models for Density Estimation with TensorFlow — Previously we went through the details of the mathematics behind Normalizing Flows and some examples of transforming probability distributions. Here we combine all these concepts to understand Autoregressive Flows and how to implement them using TensorFlow Probability library. What can you expect from this post — Why Triangular Matrices are…

Deep Learning

8 min read

Understand & Implement Masked AutoRegressive Flow with TensorFlow
Understand & Implement Masked AutoRegressive Flow with TensorFlow
Deep Learning

8 min read


Published in

A Bit of Qubit

·Jan 26

Understanding Bloch Sphere: From Density Matrix Perspective

Pure & Mixed States, Density Matrix & Bloch Sphere — This post will cover the fundamentals of representing a single qubit state using the Bloch sphere from a mathematical perspective of the density matrix. What will be covered in the post? What is the difference between pure and mixed states? What is a density matrix? How does it help to…

Qubit

11 min read

Understanding Bloch Sphere: From Density Matrix Perspective
Understanding Bloch Sphere: From Density Matrix Perspective
Qubit

11 min read


Published in

The Startup

·Jan 10

Future of Writers in the Era of ChatGPT

Creativity and Nuances Matter: According to ChatGPT! — Response from ChatGPT: The following is a generated response by ChatGPT with the search line “Future of writers in the era of chatgpt” >>> As with any technological advancement, chatbots and language models like GPT (Generative Pre-trained Transformer) are likely to have some impact on the field of writing. However, it is important…

Writing

4 min read

Future of Writers in the Era of ChatGPT
Future of Writers in the Era of ChatGPT
Writing

4 min read

Saptashwa Bhattacharyya

Saptashwa Bhattacharyya

3.4K Followers

PhD, Astrophysics. Using Deep Learning, Searching Dark Matter! https://www.linkedin.com/in/saptashwa

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