About Tirthajyoti Sarkar

Dr. Tirthajyoti Sarkar is a Data Science/ML Manager at Adapdix Corp. He contributes regularly to publications such as KDnuggets and TDS on diverse topics related to data science and machine learning. He has authored data science books and contributes to open source software. Tirthajyoti holds a Ph.D. in EE and is working on an M.S. degree in Computational Data Analytics. Email him at tirthajyoti at gmail[dot]com.

Tirthajyoti Sarkar Posts (36)

• Find the Best-Matching Distribution for Your Data Effortlessly - 22 Oct 2021
  
  How to find the best-matching statistical distributions for your data points — in an automated and easy way. And, then how to extend the utility further.
• Create Synthetic Time-series with Anomaly Signatures in Python - 12 Oct 2021
  
  A simple and intuitive way to create synthetic (artificial) time-series data with customized anomalies — particularly suited to industrial applications.
• How to do “Limitless” Math in Python - 07 Oct 2021
  
  How to perform arbitrary-precision computation and much more math (and fast too) than what is possible with the built-in math library in Python.
• Teaching AI to Classify Time-series Patterns with Synthetic Data - 01 Oct 2021
  
  How to build and train an AI model to identify various common anomaly patterns in time-series data.
• GPU-Powered Data Science (NOT Deep Learning) with RAPIDS - 02 Aug 2021
  
  How to utilize the power of your GPU for regular data science and machine learning even if you do not do a lot of deep learning work.
• Why and how should you learn “Productive Data Science”? - 26 Jul 2021
  
  What is Productive Data Science and what are some of its components?
• How Much Memory is your Machine Learning Code Consuming? - 19 Jul 2021
  
  Learn how to quickly check the memory footprint of your machine learning function/module with one line of command. Generate a nice report too.
• How Can You Distinguish Yourself from Hundreds of Other Data Science Candidates? - 13 Jul 2021
  
  A few easy (and not-so-easy) ways to prove to employers that your skills and attitudes place you in a higher bracket.
• Monte Carlo integration in Python - 24 Dec 2020
  
  A famous Casino-inspired trick for data science, statistics, and all of science. How to do it in Python?
• Fast and Intuitive Statistical Modeling with Pomegranate - 21 Dec 2020
  
  Pomegranate is a delicious fruit. It can also be a super useful Python library for statistical analysis. We will show how in this article.