Demystify

A hundred client meetings in three months is the agenda that newly appointed Microsoft India president Puneet Chandok has set for himself, to accelerate the Seattle-headquartered technology giant's cloud and artificial intelligence push in the country.“The plan in the next 90 days is to do 100 boardroom conversations with top enterprises in India and demystify AI,” Chandok told ET in his first media interview after joining the company in September. He added that he had already met 100 customers over the last 100…

Let’s talk about data engineers’ nightmareContinue reading on Towards Data Science » Let’s talk about data engineers’ nightmareContinue reading on Towards Data Science » FOLLOW US ON GOOGLE NEWS Read original article here Denial of responsibility! Techno Blender is an automatic aggregator of the all world’s media. In each content, the hyperlink to the primary source is specified. All trademarks belong to their rightful owners, all materials to their authors. If you are the owner of…

Artificial intelligence (AI) has permeated our lives in a myriad of ways, making everyday tasks easier, more efficient, and personalized. One of the most significant applications of AI is in recommender systems, which have become an integral part of our digital experiences. From suggesting movies on streaming platforms to proposing products on e-commerce websites, AI-based recommender systems have revolutionized content consumption and online shopping. This article delves into the inner workings of AI-based recommender…

In early May, Ben Smarr published a new study showing that the Oura smart ring can detect pregnancy before most people take a test. It was an exciting finding — earlier detection of pregnancy based on wearable devices could, he wrote in the paper, “increase the agency of pregnant individuals.” Smarr, a data scientist at the University of California, San Diego does research on wearable devices and health — including reproductive health. He’s working with Oura on other projects around pregnancy. His team is also looking…

Learn an efficient way to work with large datasetsImage by congerdesign in PixabayWhen you have a large dataset like a big CSV file or a big SQL table, it’s inefficient or even impossible to load all data into memory. Your computer will get stuck and your program will crash. It can be time-consuming and also quite frustrating to debug. Fortunately, iterators and generators are there to help and work as great tools for this type of problem. Besides, understanding generators can be helpful for learning more advanced…