Why a Data Scientist should master both ‘concept’ and ‘context’
Albert Einstein once said “If you cannot explain it simply, you do not understand it well enough”. My belief in this has only strengthened ever since I (along with Sandhya and Bala Kartheek) taught the first ever industry elective course named “Data Mining using Machine Learning ” by Department of Statistics, Osmania University. Thanks to […]
Things to remember while learning/teaching Data Science
As a scholar, industry practitioner over 15 years of experience and off late as a trainer, I have seen a lot of trends emerge in Data Science from 2003 onwards. Unfortunately all the time, the analytics, data mining, now data science, is operated more on the basis of tools than approach or conceptual prospective. Earlier […]
Interns at JSM on their learning experience
A note by the interns: “Our internship experience taught us more than what we could have imagined. We felt that we had no idea where our career was going and we lacked confidence about what we could do and what we are really good at. Our internship has definitely given us a better understanding of […]
A course on Data Science for professionals and students, in collaboration with Osmania University
Today, we are in the midst of a data revolution. The amount of data is growing bigger day by day due to social media, increased number of devices connected to Internet and the reduction in the cost of storage devices. In order to handle this enormous amount of data, the industry needs competent and efficient […]
Insightful and effective: “Deep Learning Specialization” by Andrew Ng on Coursera
Not enough can be said about the contribution of Coursera and Andrew Ng to machine learning education. The very beginning of Coursera was with a machine learning MOOC in 2012, and this was, as far as I can tell, the first time machine learning education was made available freely and publicly. Such was the excitement […]
Assessing market demand using Neural Networks
Objective The objective was to assess and forecast demand for a retail outlet, using Neural Networks. Approach In order to conduct the analytics, we applied the concept of Multi-Layer Perceptron (MLP) in Neural Networks which can classify and predict the patterns accurately. The inherently non-linear structure of neural networks is particularly useful for capturing the […]
Understanding the factors that make a brand a ‘favourite brand’
Client: A global fast food restaurant chain Objective The client intended to find the performance attributes driving the “Favourite brand” of the category where the population is more heterogeneous. Approach Since the population was heterogeneous in nature, merely aggregating the data and deriving the set of drivers (factors driving the brand’s success) would not have […]
The role of Mahalanobis in emergence of Modern Statistics
This article started as simply a transcript of a lecture by Stephen Stigler titled “Mathematical Statistics as a Global Enterprise” at Indian Statistical Institute (ISI) Delhi, commemorating the 125th birth year of Prasanta Chandra Mahalanobis. As I ruminated on what Stigler had to say about Mahalanobis and his role in the history and development of […]
Co-founder, Mrutyunjay Mishra on ‘Innovation and Open Data for Environment’ at IIM-L Conference on EMCB 2017
The Annual Conference of Emerging Markets Conference Board 2017, held at IIM-L Noida campus, was based on – “Economic, Environmental and Social Sustainability: Opportunities and Challenges in Emerging Markets”. Mrutyunjay talked about how he took up the task of developing a low-cost and scalable solution for air quality monitoring and generating open data on air […]
An ensemble segmentation approach to Healthcare problem
Client: A pharma major Time: May 2015 Objective: The client initiated a new biologic therapy and wanted to understand the potential drivers and barriers associated with it. He wanted to have a clear idea about the impact of the existing therapies in the market. To find this out we addressed the issues listed below […]