The Scalability Conundrum of Blockchain Networks

Posted on 27th February 201927th February 2019 by Vijay Raghunathan

“But what about scalability?” Blockchain technology awareness levels have gone up. The level of excitement is high. Peer pressure is mounting. Yet, the scalability question never fails to come up in a blockchain conversation with the enterprises. The enterprises’ fear of scalability is completely justified. The suppliers of the blockchain technology understand the bottleneck. Let’s Read more about The Scalability Conundrum of Blockchain Networks[…]

Three Stars of the Next Technology Revolution

Posted on 7th February 20197th February 2019 by Vijay Raghunathan

When the first humans set their foot out of Africa, the transition from an insulated to an interconnected world begun. Backed by continuous innovation, humanity moved from one dominant socio-economic state to the other— hunter-gatherers to agricultural, agricultural to industrial and industrial to the current knowledge and information-driven society. From one revolution to another, a Read more about Three Stars of the Next Technology Revolution[…]

Tools to get started with the Analytics, and Machine Learning!

Posted on 1st August 20184th March 2019 by Vijay Raghunathan

“Tools enable, tools restrain, and tools kills” – choosing them wisely will make the difference between learning and frustration. Given the broad nature of the subject, a variety of tools – ranging from data ingestion till visualisation – are used for Analytics and Machine Learning. “Make sure that you always have the right tools for Read more about Tools to get started with the Analytics, and Machine Learning![…]

The (Decision) Trees leads to the (Random) Forest!

Posted on 16th July 20184th March 2019 by Vijay Raghunathan

Many a times, we are overwhelmed with the size of a problem, and left confounded. A common and an effective problem-solving strategy is to “break it down” into smaller components. This breaking down, helps manage the chunks, instead of one monolithic monster. Decision trees employ similar techniques to solve prediction problems. What is a decision Read more about The (Decision) Trees leads to the (Random) Forest![…]

Logistic Regression: The Discrete Beauty!

Posted on 8th July 20184th March 2019 by Vijay Raghunathan

“Why was your recent credit card application rejected? How did your telecom service provider figure out you were unhappy? How did your friend predict your favourite team losing in the world cup?” It’s logistic regression at work. How many times have we wondered, if life could be a simple yes or no? One-day, logistic regression, Read more about Logistic Regression: The Discrete Beauty![…]

Regression: The Crystal Ball of Machine Learning!

Posted on 30th June 20184th March 2019 by Vijay Raghunathan

Despite the regressive tonality to the word, regression is one of the widely used techniques, in the field of Machine Learning. They are amongst the initial set of algorithms to be learnt, and widely used for prediction. Let’s find out, what’s progressive about regression. What is regression? The Free Dictionary defines regression as “A technique Read more about Regression: The Crystal Ball of Machine Learning![…]

The Hypothesis of Everything!

Posted on 23rd June 20184th March 2019 by Vijay Raghunathan

In my previous blog, I briefly touched upon the concept of hypothesis. Let’s get to see it in detail, in this blog. In the context of Machine Learning, hypothesis testing is one of the important concepts, especially in regression modelling. What is a hypothesis? In the context of business, any business makes a certain claim, Read more about The Hypothesis of Everything![…]

Why should the Machines learn?

Posted on 27th May 20188th March 2019 by Vijay Raghunathan

The machines, as we know of until recently, takes instructions from the human masters, and execute them. Humans have “codified” their learning into the machines, and these rule-based systems are changing now, with Machine Learning. The goal of machine learning is to enable computers to “learn” through the “experience” of performing a “task”. But, why Read more about Why should the Machines learn?[…]

Problem solving framework for analytics

Posted on 12th May 20184th March 2019 by Vijay Raghunathan

In my previous blogs, I covered the several types of analytics (descriptive, predictive, and prescriptive), including Big Data Analytics. By now, we know that, the primary objective of analytics is to aid decision making. In the process of enabling decisions, problems will have to be solved. How does one solve a problem using analytics? The Read more about Problem solving framework for analytics[…]

Big Data Analytics

Posted on 1st May 20181st February 2019 by Vijay Raghunathan

How does Amazon recommend the next purchase? Can Artificial Intelligence predict court case outcomes? The answer lies in Big Data Analytics. In the previous blog, I covered the Big picture on Business Intelligence and Business Analytics. If you’ve been in tatters with “Big Data Analytics”, then fret not. The underlying principle of analytics remains the Read more about Big Data Analytics[…]