Every week, we talk about important data and analytics topics with data science leaders from around the world on Facebook Live. You can subscribe to the DataTalk podcast on iTunes, Google Play, Stitcher, SoundCloud and Spotify. This data science video and podcast series is part of Experian's effort to help people understand how data-powered decisions can help organizations develop innovative solutions and drive more business. To keep up with upcoming events, join our Data Science Community on Facebook or check out the archive of recent data science videos. To suggest future data science topics or guests, please contact Mike Delgado. In this week's #DataTalk, we talked with Dr. Anima Anandkumar, Principal Scientist at Amazon AI and Bren Professor at Caltech, about what data scientists need to know about deep learning and how to scale deep learning frameworks. Today we're excited to talk about deep learning with Dr. Anima Anandkumar. Anima serves as the principal scientist at Amazon Web Services. Anima earned her BTech in electrical engineering from the Indian Institute of Technology. She also earned her Ph.D. in electrical engineering from Cornell University, and then after that she served as a postdoctoral researcher at MIT. She's the recipient of dozens of awards.

Except it uses something like the R6 class system and is more "Pythonic" anyways. I wish there were more ways to do DL without having to learn OOP, so that its more accessible for non-programmers. Seems like Keras/TF 2 are still easier if you don't come from that type of background of using OOP heavily. They can be used in R too (though its a wrapper for Python) and the % % in R sort of lets you do it in a more functional "tidy" way. Other than that the only non OOP framework I have seen would be Julia's Flux but its hardly used much.

You could say that the Magnifi 2 is the soundbar-iest soundbar. The 2.1-channel system pulls out all the stops to pull off a multi-speaker experience from its compact design, fully embodying the soundbar creed. To that end, it does as well as could be expected with the tools Polk has provided, and the combination of sheer brute force and clear detail the bar musters from its limited armory is impressive. Nearly every rival at this price adds at least a center channel for dialogue. What's more, the Magnifi 2 can't decode high-end audio formats like Dolby TrueHD or DTS-HD Master Audio (let alone popular 3D formats like Dolby Atmos), leaving it to dwell somewhere in limbo between entry-level bars like Vizio's V21 and multi-channel Atmos powerhouses like the Sonos Arc.

Mount Sinai's machine learning model accurately identified at-risk patients and uncovered underlying relationships that predicted outcomes in over …

Machine learning needs some sort of input data to train on. In most cases, that data first needs to be labeled by humans. Photos are a prime example.

It employs a novel machine learning technique that helps users focus on how to most efficiently target computational resources.

… techniques, genomic and microbial data, and machine learning to improve the management of foodborne illness and better protect public health.

The paper contains three datasets collected from three studies, each involving between doses of PD positive subjects and a similar amount of control subjects. The results demonstrate that there is a significant signal that separates the two groups. All subjects are asked to evaluate their typing proficiency. The hypothesis is that the model developed in the paper, is able to detect, with much higher specificity and sensitivity, early onset of PD as it operates on the type of errors you make as a typist but also the speed with which you do those errors. This is very different from how current tests are done.

Facebook says it's using AI to prioritize potentially problematic posts for human moderators to review as it works to more quickly remove content that violates its community guidelines. The social media giant previously leveraged machine learning models to proactively take down low-priority content and left high-priority content reported by users to human reviewers. But Facebook claims it now combines content identified by users and models into a single collection before filtering, ranking, and deduplicating it and handing it off to thousands of moderators, many of whom are contract employees. Facebook's continued investment in moderation comes as reports suggest the company is failing to stem the spread of misinformation, disinformation, and hate speech on its platform. Reuters recently found over three dozen pages and groups that featured discriminatory language about Rohingya refugees and undocumented migrants.

Artificial intelligence is revolutionizing various industries, markets, and services. However, the creative industries and the art world have not yet been able to use the full potential of this technology. However, two Chilean entrepreneurs devised a platform to go further. Using the latest technology, they allow creators, amateur filmmakers, visual artists, even the film and music industry to use artificial intelligence algorithms in their work. This is Runway, a platform that integrates machine learning and artificial intelligence to the world of art and creativity.