Introduction Exploratory Data Analysis (EDA) is one of the primary tasks a Data Scientist performs when starting to work on a new data set. The process informs us about the distribution or the relationship between the variables, identifies missing and unclean data, and identifies outliers. …

Businesses are increasingly hinging on data scientists and their toolbox of sophisticated algorithms to solve a business’ mission-critical problems. But there is an essential ally that can speed the time to insights and help in evaluating the value realization for the businesses. This ally need not be highly technical, but…

Let’s uncover 4 ways to effectively monetize data — Almost all companies have the data to accelerate their business transformation, but not everyone is able to exploit its full potential. This article covers the considerations needed for monetizing data. Data monetization: Is defined as a form of monetization, which may refer to the act of generating measurable economic benefits…

AI is revolutionizing the way industries operate and is graduating to making autonomous decisions in many businesses. This rapid adoption of AI has also pervaded several high impact industries, namely healthcare, judiciary, and banking solutions. Notably, the use of AI in such critical applications comes with the primary issue of…

Learn how data quality plays a crucial role in machine learning — Did you know that bad data can cost companies 15–20% of their revenue, according to this MIT report? Clearly, reliable data are imperative in today’s fast-paced, AI-driven world. …

Sustainability primarily refers to the “long-term responsible use of a natural resource” and can be extended to three fundamental dimensions, namely environment, society, and economy. In 2015, the UN adopted 17 sustainable development goals (as shown above) with a vision to help humanity, stir economic growth, and protect the planet…

What it takes to be an MLOps Engineer — Building a machine learning model is no walk in the park. It requires a data scientist to look at multiple aspects of an ML pipeline — data collection, label checking, representative sample generation, model selection, evaluation, and deployment. The machine learning model once deployed marks the start of another journey…

Learn about Okapi BM25, a ‘bag of words’ based retrieval algorithm — Digitalization is centered around the “customer first” principle and has been instrumental in enriching the user experience ever since. This article will explain how the Okapi BM25 algorithm is used to enhance search relevancy and user experience in the digital world. Think of a case when you need a book…

Do you read up about a lot of advanced algorithms and feel the imposter syndrome biting you at that very moment? Don’t fret, it's normal, especially if you are a data scientist or AI practitioner. After all, there is so much change going around all the time. I have been…