Data Science
Converting a business problem to a machine learning problem
Businesses these days are generating and consuming a huge amount of data. This data varies in variety, volume, velocity, and veracity (4Vs...
Data Science
Natural Language Processing – A 30,000 feet view
Natural Language Processing has gained a lot of popularity owing to an exponential increase in unstructured data generation. Here are some fun...
Data Science
Common Data Distributions for Data Science
Data distributions lie at the heart of all the machine learning algorithms and data science techniques. A machine learning algorithm is only...
Data Science
The art of Storytelling and Data Science
Data Science and storytelling are inseparable. And the bridge between the two is data.I had talked about storytelling...
Data Science
Business Analyst/Data Scientist Ecosystem – My 2 Cents
Confused between business analyst or data scientist? Does a business analyst build machine learning models? How much should a data scientist know? In this article, we try to find the answer and end this mystery.
Recent Articles
The Pomodoro Technique: Productivity hacks
The irony of time management productivity tips is that the people who need them the most do not realize that they do....
React fragments: What and Why
React fragments were a feature released in React 16.2. They have been around for a while now but have been a relatively...
Using Sub Resource Integrity to secure web applications
Sub Resource Integrity (SRI) is a security feature that can be used to validate that the resources that the browser is fetching...
Measuring JavaScript execution time
When it comes to performance of applications, measuring performance becomes important. For anything to be optimized, it must be measured first, optimized,...
The Beginner Syndrome
Someone recently reached out to me and asked how am I able to write consistently. Her exact words were: "how do you...
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