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How to simulate big datasets in Python using parallel computing - Part III : Generating real world data using parallel computing

How to simulate big datasets in Python using parallel computing - Part III : Generating real world data using parallel computing

Simulating big dataset - part III

Nikunj Maheshwari, PhD

• Apr 10, 2020

How to simulate big datasets in Python using parallel computing - Part II : Generating samples using parallel computing

How to simulate big datasets in Python using parallel computing - Part II : Generating samples using parallel computing

Simulating big dataset - part II

Nikunj Maheshwari, PhD

• Mar 25, 2020

How to simulate big datasets in Python using parallel computing - Part I : Find rate of a time-dependent parameter

How to simulate big datasets in Python using parallel computing - Part I : Find rate of a time-dependent parameter

Simulating big dataset - part I

Nikunj Maheshwari, PhD

• Feb 3, 2020

What happens at a LinkedIn interview?

What happens at a LinkedIn interview?

A first hand narrative of an onsite interview at LinkedIn office in Dublin.

Nikunj Maheshwari, PhD

• Nov 1, 2019

How fast is Spark? - A machine learning perspective

How fast is Spark? - A machine learning perspective

Benchmarking R, SparkR and sparklyr on machine learning algorithms

Nikunj Maheshwari, PhD

• Oct 4, 2019

Building a blog website from RStudio, an introduction

Building a blog website from RStudio, an introduction

My first blog post, to summarise how to host a website with RMarkdown compatibility.

Nikunj Maheshwari, PhD

• Sep 25, 2019