Towards Data Science Articles
Published:
The following list contains my blogs that are published in Towards Data Science. Mostly, the blogs revolve around machine learning, data science, algorithms, and mathematics.
- Stirling’s Approximation for Factorials — Proof and Applications
- Arithmetic Mean, Geometric Mean, and Their Relation using Jensen’s Inequality
- Nonlinear Change of Variable in Probability Distributions
- Shooting Star Problem — Simple Solution and Poisson Process Demonstration
- Maximum Subarray Problem and Kadane’s Algorithm
- Gaussian Smoothing in Time Series Data
- Locality-sensitive Hashing and Singular to Plural Noun Conversion
- Entropy, Cross Entropy, and KL Divergence
- Three Important Steps in Machine Learning
- Why Do You Need Machine Learning?
- Infinite Steps CartPole Problem With Variable Reward
- CartPole Problem Using TF-Agents — Build Your First Reinforcement Learning Application
- Creating a Custom Environment for TensorFlow Agent — Tic-tac-toe Example
- What is Hypothesis Testing? Why Don’t Teachers Believe the Liar Students?
