internal use
10 Best Python Libraries for Machine Learning in 2021
Python is one of the most popular programming languages on the market and currently takes first place with 33.18% of the market share. And this figure should not be surprising since Python is an extremely easy-to-learn programming language and incredibly flexible at the same time. It is excellent for many purposes, and Machine Learning is one such purpose. Python has many different libraries of complete tools for integrating machine learning technologies into business projects. In this article, we'll take a look at 10 well-known machine learning libraries in Python.
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Data residing at an AI centre of excellence
Artificial Intelligence (AI) is one of the most powerful technological forces in this era and, while it began in the data centre, it's moving quickly to the edge. NVIDIA's Charlie Boyle says that one of the biggest things the sector is seeing – which started at the end of 2020 but accelerated into 2021 – is the idea of an AI centre of excellence for companies and institutions. "There's a big change from what we were seeing a few years ago. Previously, when people worked on AI, it would tend to start small, getting some results and would grow over time," he explains. "We are engaging with a lot of customers today, who have realised that starting very small and growing organically may not get them the results they need in the next couple of years. Before, an individual researcher or a small team may procure one or two systems, a little bit of infrastructure, some networking and storage. "Now, we are seeing that more at a strategic level inside of the company where, in order to achieve even basic results, management is realising it needs a critical mass of infrastructure to carry out the experiment to drive the applications that they need.
Facebook confirms facial recognition app, says it was only for internal use
Facebook made a facial recognition app for internal use, a company spokesperson told VentureBeat in an email. On Friday, Business Insider published a story citing anonymous sources that Facebook created a smartphone app that utilized facial recognition as early as 2015 to scan the faces of people identifiable through the social network's facial recognition system. When asked for response by VentureBeat, a company spokesperson provided the following statement: "As a way to learn about new technologies, our teams regularly build apps to use internally. The app described here was only available to Facebook employees, and could only recognize employees and their friends who had face recognition enabled." This fall, Facebook opened to all users its facial recognition system that does things like recognize faces in photos, alongside an option to opt-out if they don't want their faces to be analyzed.
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How AWS is using AI to lure enterprise to the cloud
In surpassing 30,000 attendees - up from 19,000 the year previous - AWS re:Invent 2016 continues to capture the imagination of the partner, customer and developer communities. Yet despite the bumper crowds, it was intelligence exhibited by machines that stole the show in Las Vegas. Artificial intelligence to be precise, heralded as the next great disrupter in cloud, and the weapon of choice for vendors fighting for increased market share. While nothing is certain in life but death and taxes - well, perhaps for some - when it comes to public cloud, the dominance of Amazon Web Services is both predictable and undeniable. Yet the battle for control of the skies has been raised a notch further with the tech giant enhancing its services across its broad portfolio, with its new cloud-native database offerings designed to lure large enterprise accounts.
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How AWS is using AI to lure enterprise to the cloud
In surpassing 30,000 attendees - up from 19,000 the year previous - AWS re:Invent 2016 continues to capture the imagination of the partner, customer and developer communities. Yet despite the bumper crowds, it was intelligence exhibited by machines that stole the show in Las Vegas. Artificial intelligence to be precise, heralded as the next great disrupter in cloud, and the weapon of choice for vendors fighting for increased market share. While nothing is certain in life but death and taxes - well, perhaps for some - when it comes to public cloud, the dominance of Amazon Web Services is both predictable and undeniable. Yet the battle for control of the skies has been raised a notch further with the tech giant enhancing its services across its broad portfolio, with its new cloud-native database offerings designed to lure large enterprise accounts.