The dos and don’ts of processing data in the age of AI 10 min read · 23 hours ago Image by Gilles Lambert on UnsplashThe digital economy has been built on the wonderful promise of equal, fast, and free access to knowledge and information. It has been a long time since then.…
Introduction Lead scoring is an essential methodology in the realm of B2B sales and marketing. At its core, it involves assigning a numerical score to each lead, typically on a scale from 1 to 100, to gauge their likelihood of making a purchase. This process is a strategic approach to understand the potential of…
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In the not-so-distant past, data scientists were tethered to cubicles and confined to physical office spaces. However, times are changing, and the remote work revolution is reshaping the professional landscape.
Today, it is easier than ever to pursue your passion for data science while working from the comfort of…
The problem of generating synchronized motions of objects and humans within a 3D scene has been addressed by researchers from Stanford University and FAIR Meta by introducing CHOIS. The system operates based on sparse object waypoints, an initial state of things and humans, and a textual description. It controls interactions between humans and objects by…
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Where the assumptions behind the two-tower model architecture break — and how to go beyond (Image created by the author using generative AI)Two-tower models are among the most common architectural design choices in modern recommender systems — the key idea is to have one tower that learns relevance, and a second, shallow, tower that learns…
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Data science is an ever-evolving field, and the constant influx of data makes it a compelling case to solve complex problems with innovative solutions. One such solution that has gained attention in recent times is ChatGPT. This powerful language model, developed by OpenAI, has shown remarkable natural language understanding and…
Text-to-image diffusion models represent an intriguing field in artificial intelligence research. They aim to create lifelike images based on textual descriptions utilizing diffusion models. The process involves iteratively generating samples from a basic distribution, gradually transforming them to resemble the target image while considering the text description. Multiple steps are involved, adding progressive noise to…
Life at DeepMind
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A Spotify Data Scientist’s guide to developing a job-hunting strategy that can get you offers A snapshot of the survey I conducted on Blind — Image by AuthorI recently ran a survey among data scientists and found out this shocking number — 86% are blindly sending out job applications, and hoping for the best. Hoping…