# The Quintessential Linear Algebra for a Data Scientist — Part A

## This six-part tutorial series is an attempt to capture Linear Algebra concepts succinctly and intuitively while not leaving out the difficult concepts. The first part covers the basic definitions which are essential to foray into this area.

The objective of this article, a first of a six-part tutorial, is to understand the basic definitions in Linear Algebra and start thinking in terms of matrices and vectors. It is also an initiation into understanding and verifying the concepts programmatically.

If any part or concept is unclear, kindly do comment below.

# Basics

Let us start with a matrix, named H (for happy!?!). A matrix, by the way, is just a rectangular array of numbers arranged in rows and columns.

# Exploring the Indian Premier League using PageRank

## A Brief Tutorial on the PageRank Algorithm

The overall objective of this work is to explore network science algorithms towards cricket analytics. This article covers a part of this goal. The IPL data is used for this purpose with a particular focus on the PageRank algorithm. A few ways to build the graph networks are presented, followed by methods to extract some interesting insights. More importantly, a brief tutorial on the PageRank algorithm is also included. CSK and MI, the two most prominent teams in IPL are compared with each other using PageRank.

Indian Premier League is one of the most popular sporting leagues in the world; its thirteenth edition underway. Its the richest cricket league with the highest viewership. With the pandemic casting a shadow on all sporting activities in the world and India in particular, this is touted to be garnering unprecedented viewership. …

# London Confidential — A Null Thriller

## Extremely ordinary and predictable story with practically no thrill.

★½ ☆☆☆

The Mouni Roy starrer, (touted to be) spy thriller is one of the most boring films I have watched in the recent past. The only good thing about the movie is that it does not show models with cringe-inducing slang.

The story as already advertised on a number of popular YouTube channels is about another China induced epidemic on the Indian border, with a mole in the Indian embassy. And to my surprise, there is hardly anything more to see with even finding the mole being such a dull affair. …

# Sushant’s Death — The True Lies of the Indian Society

## A commentary on the continuing series of events after the death of the young actor.

Many years back, when in school, I read a story which went as follows. A tourist travels to a new country and gets tattooed on his back by a famous artist. The tattoo artist suddenly dies, with this tattoo being his last completed art.

A journalist takes a photograph of the tattoo and makes it the news on the front page, making the tourist instantly famous.

Next day, a prominent minister declares the tattoo as a national treasure. Taking notice, the rival country, to which the tourist actually belonged, also makes strong claims to the artwork. …

# Runner’s Gait and Injuries — Cultivating the Right Posture

## The right posture is crucial to avoiding injuries.

The objective of this article is to explain the complex science behind the gait analysis of a runner in layman’s terms. It starts by describing the biomechanics of running and what defines gait analysis. Then it explores the relationship between injuries and bad posture. Thereafter, it lists out a number of strategies to develop the right posture while running.

Most of the injuries which occur during a run are essentially due to incorrect posture. When I started to run, I used to slouch so much that at the end of a long run I used to get a sore neck. …

# Is Elon Musk’s Neuralink the Harbinger of a ‘Pandoran Biosphere’? — Not Really!

## A roundworm has 300 neurons and 7000 connections between them. We still do not understand how its brain works. Our brain has 86,000,000,000 neurons and 100,000,000,000,000 connections. Neuralink’s device has 1024 electrodes. That sums up as to where we stand.

Neuralink is a neurotechnology company founded by Elon Musk trying to build a sewing machine which can thread-in thin electrodes into the brain. It showed its first demonstration, a couple of days back creating hardly any buzz (check the plot below) around it. And rightly so.

## Movie Review

After 21 years, Mahesh Bhatt returns with a dud of a film.

½ ☆☆☆☆

I watched this movie as soon as it was released on Disney+, but it took many hours for the lingering after-effects to subside, for me to be able to write this review. It is highly unlikely that 2020 will witness a more substandard mainstream movie from Bollywood.

This is the sequel to the movie Sadak, released in 1991 which is claimed to be the highest grosser of that year. Well, that was a different era. A fact which Mahesh Bhatt seems to have not realized, he seems to be still living in the 90s. The then, Sadak, is described as a romantic thriller with Ali Bhatt’s elder sister paired opposite Sanjay Dutt. …

# Class of 83 (2020)— Very Ordinary, Lacks Class

## Bland, boring and burdensome to watch. A disappointing movie which is based in 83, looks in 83 and feels like it is made in 83.

★½ ☆☆☆

Class of 83 is a story of cops who start as rogue trainees and become encounter specialists under the tutelage of Vijay Singh donned by Bobby Deol. It is based on the book by Hussain Zaidi. Hussain Zaidi is a prolific and brave crime writer and a former investigative journalist. Though I have not read his book, I am quite sure that SRK’s Red Chillies has failed to do justice to the source material.

In a typical crime drama, the audience could be entertained in many ways. Either through the Dabangg styled brainless entertainment filled with cheeky dialogues and gravity bending stunts or it could be a serious thriller with a cat and mouse chase. It could also be a story centred on the protagonists and their challenges. Class of 83 is none. Neither does it present the main protagonist in the centre, nor does it give any weight to his trainees. With a possible good source material, it also fails to present an idea to fight against the system. It does not have strong dialogues and also failed in cinematography. …

# Gunjan Saxena (2020) — A Push to the Inevitable Bollywood Fatigue

## ★★★☆☆

Before getting into the review of the movie, let us look at the pulse of the nation. Which major cities are watching the movie? This would say a lot about what kind of audience the movie connects with. The distribution of viewership is highly non-uniform indicating that this movie is not resonating with the masses. The skyscrapers from Mumbai, Kolkata and Delhi in this plot affirm that is a movie for the metropolitans. Quite unlike the recently released Pareeksha which had a wider reach.

# Which Countries are Concerned about Climate Change?

## Australia, currently, is highly concerned about climate change.

Between the Australian wildfire and the razing of the Amazon forest of 2019, the continued melting of the polar ice, the increasingly raging global weather, the forgotten Europe-sized ozone hole over the south pole and the current centennial pandemic; the key question is — How concerned are the countries of our world about climate change?

In this article, I present my experiments towards finding an answer to this important question, by applying data science to the mining of BitTorrent networks. If you are impatient, like me, the key insights are presented at the bottom for your instant perusal. …