Anand JhaValue Conundrum of GenAIGenAI has shown us incredible possibilities. A computer program generating human-like contents which were beyond our imaginations few years…Jun 25Jun 25
Anand JhaSynthetic Data: Why, Where & HowIn the era of data abundance, we still are left with inadequate data in specific cases. We then create data which is unreal, yet based on…Dec 1, 2022Dec 1, 2022
Anand JhaInnovation in AI/ML: The TRIZ wayMy main motivation is to see for myself whether one of the most famous Innovation Principle which started in 1946 and still continuing…Sep 21, 2021Sep 21, 2021
Anand JhainCodeXMachine Learning demystified through ExcelIn Predictive Analytics (Supervised Learning), we solve two types of problems — Regression and Classification. Classification Models have…Aug 31, 2021Aug 31, 2021
Anand JhaBlending Lexical and Semantic Similarity for Automated QA systemsText similarity is one of a very useful task in Natural Language Processing (NLP). It is an important step towards multiple tasks in NLP…Aug 28, 2019Aug 28, 2019
Anand JhaWhy Neural Networks are the way they are today?Artificial Neural Networks (ANN) practitioners know the challenge of tuning the ANNS, with so many hyper-parameters. We have so many…May 3, 2019May 3, 2019
Anand JhaDimensions: Curse or BoomAsk any Data Scientist and he would passionately discuss the “curse of dimensionality”. Dimensionality of a problem refers to the number…Jan 24, 2019Jan 24, 2019
Anand JhaGiven data what should we prefer- fit a model to it or let an algorithm emerge out of itThe above relates to two cultures in analytics — Data Modelling and Algorithmic Modelling. The first one is the approach popularized by…Jan 1, 2019Jan 1, 2019
