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Podcast Highlights: Data Stories

Today’s feature podcast series comes from Data Stories which is hosted by Enrico Bertini and Moritz Stefaner. This podcast talks about data and its repercussions on our lives.

Columbia University DSI Alumni Use Machine Learning to Discover Coronavirus Treatments

Two graduates of the Data Science Institute (DSI) at Columbia University are using computational design to quickly discover treatments for the coronavirus. Andrew Satz and Brett Averso are chief executive officer and chief technology officer, respectively, of EVQLV, a startup creating algorithms capable of computationally generating, screening, and optimizing hundreds of millions of therapeutic antibodies. They apply their technology to discover treatments most likely to help those infected by the virus responsible for COVID-19.

Video Highlights: Python Machine Learning Tutorials

With COVID-19 keeping everyone indoors, this is the perfect opportunity to brush up your data science skills. Data science is a field that is booming and is playing a huge role in society. Instead of just reading a book, in this regular feature column, I will provide some great video learning resources. You can follow these YouTubers and gain insights and advice from their years of experience in the field. Plus you can learn how to code by following through their tutorials and pick up a new skill. So, fire up YouTube below and start learning!

Intel + Cornell Pioneering Work in the “Science of Smell”

Nature Machine Intelligence published a joint paper from researchers at Intel Labs and Cornell University demonstrating the ability of Intel’s neuromorphic test chip, Loihi, to learn and recognize 10 hazardous chemicals, even in the presence of significant noise and occlusion. The work demonstrates how neuromorphic computing could be used to detect smells that are precursors to explosives, narcotics and more.

Chatbots for Recruiting

Talent departments are spending $250 billion on recruitment, interviewing and candidate assessment solutions. But as employers invest in these disparate technologies, they sacrifice efficiency and deliver a disconnected experience throughout the talent lifecycle. Enter the AI chatbot. Phenom, a leader in Talent Experience Management (TXM), is a single platform that individualizes the end-to-end talent journey for candidates, recruiters, employees and management.

Podcast Highlights: Data Skeptic

Today’s feature podcast series comes from Data Skeptic which brings you weekly stories on how to understand more about our data-driven world as well as outlooks on topics such as statistics, machine learning, big data, AI and data science.

NVIDIA’s New Data Science Workstation— a Review and Benchmark

This new whitepaper from NVIDIA Partner firm PNY Technologies, tests and reviews the recently released Data Science Workstation, a PC that puts together all the Data Science hardware and software into one nice package. The workstation is a total powerhouse machine, packed with all the computing power—and software—that’s great for plowing through data.

Will Advanced Earth Observation Data Come to the Rescue When Climate Change Leads to Food Shortages?

Satellite data enables ongoing monitoring of the situation on Earth, creating models to support agriculture, and managing the risk related to climate change. More and more companies and institutions take advantage of this data, also within the framework of the state administration, where satellite images are increasingly used e.g. to analyze soil moisture and identify areas likely to yield worse crops.

Infographic: How to Become a Data Scientist in 2020?

Data Scientist continues its reign as one of the most coveted jobs in 2020. In fact, as the business world becomes increasingly data-driven, there is a serious concern that the data science skill gap will continue widening and the supply of data scientist career talent won’t be able to catch up to the industries’ demand. For the 3rd consecutive year, our friends at 365 Data Science asked the data and collected their findings in a detailed annual report summarized in the included infographic.

Interview: Felix Dorrek, Ph.D.

I recently caught up with Felix Dorrek to discuss his research in the area of deep generative networks. The interview touches on the technology’s power, practical applications, importance to business in 2020, as well as generating synthetic data. Felix holds a Ph.D. in mathematics from the Vienna Technical University where he conducted research in the field of Convex Geometry.