Learner, Practitioner & Teacher
In the ever-evolving landscape of analytics, the way we conduct data analysis has transformed dramatically over the years. As technology progresses, so does the way we interact with analytical tools, making them more accessible, efficient, and intelligent. This transformation can
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As healthcare providers strive to provide the best possible care to their patients, understanding the effects of different treatments becomes increasingly important. This is especially true for data in longitudinal nature, where patients are followed over time and treatment effects
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As technology continues to advance, there has been much speculation about whether AI will replace doctors in the field of medicine. However, it is important to note that AI is not meant to replace doctors, but rather to assist them
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1)Spurious Correlations: A statistical correlation with no causal implication. This is basically when a statistical correlation doesn’t imply causality. Here is an example – There is a huge correlation between the suicide rate and the amount of expenditure. But there
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My Podcast on Data science & Machine Learning Learn Data Convergence Micro Podcast: Digital Transformation, Industry 4.0, IIoT & Emerging Tech CLICK HERE TO LISTEN
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I believe that ‘technology/ AI’ does not have intrinsic value; its value lies in its application. I always say that I may create the best of algorithms with a great accuracy but it is only as useful as the problem
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Coronavirus (covid-19) cases in Telangana continued to rise, Here is the link to know the status day by day Please click the below link Covid status
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Need We are all aware that machine data – from mobile apps, IoT devices etc are richer and more accurate. With the explosion of devices and data usage, we live in times of unprecedented data. The challenge is in creating
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OBJECTIVE Getting the price of a product right is one of the most challenging issues faced by a B2B marketer. Price Sensitivity Measurement (PSM) Analysis is one of the marketing techniques for determining consumer price preferences by assessing different price-levels to
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