A complete guide to K-means clustering algorithm

Everything you need to know about a top algorithm in Machine Learning

The Merriam-Webster dictionary defines the word 'augment' this way: 'to make greater, more numerous, larger or more intense'. If you are wondering how this applies to the term 'augmented analytics', you are not alone. Let's take a closer look at Augmented Analytics and talk about why it has gotten so much attention in the business intelligence world.

What is Augmented…

You gave everything that you had in your Data Science training. What is next? The hunt for a suitable job, right? Do you know what all the career opportunities you are likely to have once your training is over? If your answer is a no, then this is the article specially for you. Also, if it is yes, then also you can give this article a read as you may learn something new. This article will list out the myriad of career opportunities that you will have once your training in Data Science is…

According to the “Future of Jobs 2018” report, it is said that with advancement in machines and artificial intelligence it is likely that these technologies will replace 75 million jobs by 2020. Data scientist remains to be one of the trending careers, and those interested in pursuing data science as a career must first have the right skill set to land a job in this field.  

As more companies become data-driven, professionals skilled in data science…

Price errors and their impact:



Price errors are one of the ways in which revenue leakage occurs in e-commerce business. Although retailers put various checks and balances in place, pricing errors are still common. Data entry mistakes, misplaced decimal points, reversal of digits, and other clerical errors made in hurry are the major contributors. It can also occur because errors in feeding promotional offer dates. Promotions might unintendedly start early or end late. Such revenue…

This is part 2 of a 3 part series: “How to make your mark on the world as a talented, socially conscious data scientist.” 

You can find part 1 here: “Choose a domain which enables you to create…

If Data Science was once the sole domain of analysts and data scientists, Augmented Data Science represents the democratized view of this domain. With Augmented Data Science, the average business user can engage with advanced analytics tools that allow for automated machine learning (AutoML) and leverage sophisticated analytical techniques and algorithms in a guided environment that uses auto-recommendations and suggestions to lead users through the complex world of data…

Thanks to evolving technology, retail marketers nowadays have access to wide range of data and analytics tools, which is making everyone’s life easier. It gives businesses a chance to solve problems and provide excellent customer experience. 

The ability of machines to process data and perform tasks in a way that mimics human intelligence such as voice and visual recognition or decision making is opening many doors for online retailers, and brand owners look for ways to…

This is the first article in what will be a three-part series: 

"How to make your mark on the world as a talented, socially conscious data scientist."

• In this article, we discuss how a socially-conscious data scientist might choose a domain to make the greatest impact.
• The next article…

Trends to Watch Out For and Prepare Yourself

Ok. So there’s been a lot of coverage by various websites, data science gurus, and AI experts about what 2019 holds in store for us. Everywhere you look, we have new fads and concepts for the new year. This article is going to be rather different. We are going to highlight the dark horses – the trends that no one has thought about but will completely disrupt the working IT environment (for both good and bad – depends upon which side of…

“Information is the oil of 21st century and analytics is the combustion engine” ~ Gartner 

Big data is the new oil and there’s no denying to this fact. In certain ways the analogy fits, it is easy to draw attention about how information (data) is used to power much of the transformative technology that we see today such as predictive analysis, automation and artificial intelligence etc.  

As technology move…

Summary: The Gartner Magic Quadrant for Data Science and Machine Learning Platforms is just out and once again there are big changes in the leaderboard.  Some major incumbents have fallen and some new challengers have emerged.

The Gartner Magic Quadrant for Data Science and Machine Learning Platforms is just out and once again there are big changes in the leaderboard.  Say what you will about our profession but as a platform developer you…

Imagine you are a company selling a fast-moving consumer good in the market.

Let’s assume that the customer would follow the given journey to make the final purchase:               These are the states at which the customer would be at any point in the purchase journey.

Now, how to find out in which state the customers would be after 6…

The Telegraph covered a robotic revolution in the healthcare sector and predicted an increase in robotic systems in hospitals in the coming decade. Insights from…

What does the customer want? And why do they want it?

These are the age old questions that marketers have tried answering to improve their business impact. Customer knowledge is, without doubt, the foundation of marketing success.…

Electronic spreadsheets have been around for nearly 40 years now. They were invented by Bob Frankston and Dan Bricklin, founders of VisiCalc, and I had a chance to chat with both gentlemen a couple of months ago. I highly recommend watching this TED talk with Dan Bricklin:

It's important to understand for…

My writing engagement at Data Science Central came up unexpectedly. Back in August 2018, I stumbled upon an excellent write-up on Data Science Central. The author, Bill Vorhies, shared his thoughts on career transitioning toward data science. I wrote him an email, complimenting him on his blog post, and I dropped a few lines about my own transition. Here's his response:

"Congratulations on your remarkable journey. Perhaps you’d like to write one or more articles…

Imagine that one day, you see people are queuing up in front of Bank A; so you ask the staff at the counter, you are told that they are offering anyone (regardless of their credit history) a loan of $100,000 at a fixed annual rate at 2%. You then look around, the Bank B next door offers 1-year term deposit with a fixed annual rate at 3% for the same amount ($100,000). After 5 minutes' waiting, you sign for the loan from Bank…