Introduction and Motivation

It is becoming increasingly common for organizations to collect very large amounts of data over time, and to…

Meet two text mining experts in today’s interview, which explores some of the common issues faced by data scientists in text analytics. Prof. Dursun Delen and…

After a few biostatistics classes, I began fitting my first logistic regression model using my physician friend’s data on tumors excised from skin cancer patients. I realized that although we were very clear about the dependent variable we were trying to predict – a certain feature of the tumor – I really did not know how to pick the independent…

The emergence of automation has posed a concern for data scientists--will it eventually replace them?

But there is no cause to worry as the eventuality will never happen. Instead, automation will help data scientists to improve the results they derive from analyzing vast amounts of data.

When it comes to the marriage between…

Covariance and correlation are two of the most significantly used terms in the field of statistics and probability. Both are concepts that describe the relationship between two random variables to each other.…

11 Nov, 2020, Washington D.C.: Since the launch of the World Data Science Initiative (WDSI) in January of 2020 institutions in more than 20 countries have applied to be a part of the initiative, which is the world’s biggest ever talent development project in Data Science. The African continent can now boast its first institution to join the initiative; University of Rwanda.…

Nearly everybody wants to invest their recreation energy to watch motion pictures with their loved ones. We as a whole have a similar encounter when we sit on our lounge chair to pick a film that we will watch and go through the following two hours yet can't discover one following 20 minutes. It is so baffling. We unquestionably need a PC operator to give film proposals to us when we have to pick a film and spare our time.

Evidently, a film suggestion specialist has just…

The demand and the supply gap for a data scientist are ever-increasing. In fact, in one of its surveys, IBM predicts increment in data science jobs to be 364,000 to 2720,000 in 2020 which is only going upwards in the subsequent years. Python, as a programming language, is immensely popular for building data science-based applications owing to its simplicity, and large community support and ease of deployment.

Our Data Science with Python online course has been…

Predict Number of Active Cases by Covid-19 Pandemic based on Medical Facilities (Volume of Testing, ICU beds, Ventilators, Isolation Units, etc) using Multi-variate…

COVID-19 is changing consumer behavior and driving more people to shop online. At BigBasket alone, we have witnessed a surge in demand by 5X – 6X during the initial days of the lockdown in India. While the pandemic has driven the global demand for essentials and goods online, it has also brought on some new challenges for the e-commerce industry.

Leveraging artificial intelligence and data science to optimize e-commerce operations

Balancing the…

The financial world is a field of data, and the entire industry is reliant on data and figures. The fintech industry is rapidly evolving and revolves around numerous complicated transactions. Relying on century-old…

Importance of C++ in Data Science and Big Data

Introduction and Motivation – Why C++

C++ is ideal for dynamic load balancing, adaptive…

Data science is a collective pool of various algorithms, tools, machine learning principles that work in unison to extract hidden patterns from raw data. It requires a diverse set of skills and demands knowledge from aspects of mathematics, science, communication, and business. Honing a diverse skill set, data scientists gain the ability to analyze numbers and influence decisions.

The core objective of data scientists lay in bridging the gap between numbers and actions by using the…

AI for People and Business is an AI book and AI strategy framework. Here's the official book trailer where I explain important topics that are covered in the book, as well as the beneficial aspects of reading it and the importance of developing a strong AI strategy.

FREE CHAPTER DOWNLOAD -…

The amount of data created globally, to date, reached an overwhelming, 59 zettabytes, in 2020, with 90% of the world’s data being produced in the last two years alone. We are generating 2.5 quintillion bytes of data each day in the present era.

Amount of data produced worldwide…

That data analytics is big is not in dispute. Global revenues for big data software and services are expected to grow from USD 42 billion in 2018 to USD 103 billion in 2027, at a CAGR of 10.48%. And in the United States itself, by 2020, about 2.7 million job postings for data analytics and data science are expected. 

Data inflows into companies are…