Hi, I’m Gaurav Sharma.
I work in the machine learning domain.
This website contains codes and articles I have written on statistics, mathematics and functional programming.
Overview
1. Statistics
Here are the articles on statistics:
1.1 Theory
1.1.1 Probability
Convergence of Random Variables
1.1.2 Statistical Inference
Models, Statistical Inference and Learning
1.1.2.1 Hypothesis Testing
Hypothesis Testing and p-values
Misconceptions about p-values and its history
1.1.2.2 Confidence Intervals
The Correct Interpretation of Confidence Intervals
1.1.2.3 Two Schools of Statistics
The Basic Difference between Frequentists and Bayesians
1.1.3 Regression
Derivation of All Results on Least Squares Regression
1.1.4 Time Series
1.2 Statistical Softwares
1.2.1 Python For Data Analysis
An Introduction to Pandas with Examples
1.2.2 MapReduce, Hadoop and NoSQL
The Need For MapReduce and NoSQL Systems
1.2.3 SAS
Markov Model for Loss Forecasting – Implementation in SAS
List Manipulation Macros for SAS – To Raise the Abstraction Level available to the programmer
2. Functional Programming
2.1 Common Programming Tasks
My implementations of the most important programming concepts can be found in the category Programming Tasks listed on the left pane. It has subcategories with a number of implementations of the subproblems.
2.2 Sicp Solutions
I have solved a major portion of the problems from the book regarded as the bible for developers – Structure and Interpretation of Computer Programs. The solutions are listed in the category Sicp Solutions and the problems are numbered according to the second edition of the book.
2.3 Implementation of Compilers
The compilers and interpreters I have written can be found here.
2.4 OOP
Here’s my implementation of an object oriented system in racket.
2.5 Haskell
Here’s my implementation of a concurrency manager that uses software transactional memory.
2.6 Type Theory
Here are the articles I have written on lambda calculus and type theory.
3. Mathematics
I have written articles on algebra and analysis, on Function Spaces and Fourier Transform.
Here are the articles on the topic of historical development of different fields of Mathematics.