Understanding the Junior Paradox
Y-DATA#21: Training Data—The Overlooked Area of Modern AI
Y-DATA#19: DS career paths: advancing beyond your first role
Y-DATA#18: ML Methods for Video Analysis
Date: Wednesday, May 25, 2022 6:30 PM
What is stopping juniors from getting in jobs and gain experience? Why do employers stuck without candidates? How does it look from a tech employer's perspective? What opportunities are within this situation? Welcome to the Junior Paradox.
The era of modern AI started with the rise of big data. Once you have large amounts of logged structured data, be it clicks on the products in an online store, or time spent on a certain webpage in a browser, or percentage of paid credits in a bank, data science steps in. However, in reality, the data is often either not structured or, even worse, does not exist at all. For example, a voice assistant will only learn to correctly activate after the model analyses thousands of hours of speech recordings made by different voices, accents, amidst surrounding noises. Further, a search engine will only learn how to rank the most relevant sites on top after “seeing” millions of pairs matching user queries and web pages documents, judged by the relevance of the match. All the magic and power of artificial intelligence has a natural glass ceiling. And this ceiling is training data.
Date: Wednesday, June 23, 2021 6:30 PM
As more and more data professionals are reaching this career milestone, with a few years of industry experience as data scientists and looking for the next step, we invite you to join this meetup to take a look at varied perspectives on the subject. We'll feature a panel discussion by a team of talented industry insiders, who come from different backgrounds and are taking different trajectories into the future.
Date: Wednesday, March 17, 2021 6:00 PM
Two great talks about video analysis in real life and recent ML methods used in this field. Our speakers will be Alex Rav-Acha (VP Engineering at Vimeo) and Sergey Ovcharenko (Yandex)