< 1 mn read I am in total agreement with Morgan Zimmerman, Dassault Systems quote in TOI today. Every industry has its own terminologies, concepts, names, words i.e Industry Language. He says even a simple looking word like “Certification” have different meanings in Aerospace vs life sciences. He recommends use of Industry specific language and your own company specific […]
2 mn read Let me first wish you all a happy Navratri Festivities. I still fondly remember the Durga Pooja days during my Indian Statistical Institute years. However, we also need to remember we are in the midst of two wars, one in Ukraine and other in Middle East. We wish solutions are found and further loss of […]
2 mn read Few weeks ago, I saw a news article about risks of unregulated AI. The news article quoted that in USA, Police came to a house of a 8 months pregnant African American lady and arrested her due to a facial recognition system identified her as the theft suspect in a robbery. No amount of pleading […]
3 mn read I will be referring to the following 3 papers on this very interesting topic. (1} https://link.springer.com/article/10.1007/s43681-021-00043-6 Sustainable AI: AI for sustainability and the sustainability of AI A Van Wynsberghe – AI and Ethics, 2021 – Springe (2) https://www.researchgate.net/publication/342763375_Carbontracker_Tracking_and_Predicting_the_Carbon_Footprint_of_Training_Deep_Learning_Models/link/5f0ef0f2a6fdcc3ed7083852/download (3) Lacoste, A., Luccioni, A., Schmidt, V., Dandres T.: Quantifying the Carbon Emissions of Machine Learning. (2019) While there is a tremendous push for using new-generation generative […]
5 mn read Names change, but ideas usually don’t. How is today’s ‘data science’ different from yesterday’s statistics, mathematics and probability? Actually, it’s not very different. If it seems changed it’s only because the ground reality has changed. Yesterday we had data scarcity, today we have a data glut (“big data”). Yesterday we had our models, and were […]
10 mn read Relevance of Statistics in the new Data Science world Rajeeva L Karandikar Chennai Mathematical Institute, India Abstract With Big Data and Data Science becoming buzzwords, various people are wondering about the relevance of statistics versus pure data driven models. In this article, I will explain my view that several statistical ideas are as relevant now […]
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