Memory and Neural Networks

It is no secret to data scientists that humans and computers think differently.  While computers are highly adept at arithmetic, humans can hardly calculate the tip on a restaurant bill.  And while humans can learn from their previous mistakes and use logic to make better decisions in the future, computers cannot teach themselves to gain […]

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Data Science in Everyday Life: Omada Health

For a field with such profound potential to improve the world we live in, data science has had trouble making its way into the public consciousness. This might be because most people’s interactions with data science are distinctly uninspiring, usually in the form of online advertising or recommendation algorithms. But there have always been data […]

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AI Now

Within the world of data science, there is possibly no field that is as misunderstood as the field of artificial intelligence (AI).  Whether it’s Hollywood films depicting AI robots taking over the world, or sensationalized news stories stating that AI will wipeout the entire workforce, there is a lot of misinformation being spread about this promising […]

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What Does a Data Scientist Do?

What is a data scientist?  The question is seemingly simple, and yet deceptively complex.  A data scientist obviously works with data, but in what capacity?  Is a data scientist more concerned with the collection of data, or data analysis?  And what is the end goal for a data scientist?  With data available on everything from digital […]

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Kx Systems comes to CDS

Last week, the Center for Data Science welcomed Kx Systems—a software company based in New York—into our office, where they gave two consecutive day-long workshops on their q programming language, and their kdb+ database. Kx Systems’ kdb+ database was designed for time-series analysis, so it’s a tool that is most useful for either collecting real-time data, or working […]

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Ethics in Data Collection

As data collection and data analysis have become entrenched in our daily lives, the conversations surrounding the ethical treatment and usage of data are becoming increasingly important.  Almost every interaction you have—talking with a friend on social media, information you give to your doctor, or a purchase you make online—can be translated into and analyzed […]

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Money, Machines, and Markets with Vasant Dhar

The financial markets—the stock exchange, bonds, commodities—are a historically high-risk, high-reward avenue towards making, or losing, money.  Besides working as a television weatherman, investment banking is one of the few fields where you only have to be correct sixty percent of the time to be considered a smashing success.  Investment decisions are generally gauged against the S&P […]

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Faculty Interview: Sam Bowman

Sam Bowman is one of the leading researchers in the field of natural language processing (NLP), and recently joined NYU as an Assistant Professor in Computational Linguistics, a joint position between NYU’s Linguistics department, and the Center for Data Science.  This fall, he will be teaching a course titled “Seminar in Semantics: Artificial Neural Networks.”  […]

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The “Unknown Unknowns” of Machine Learning

One of the struggles in the field of data science is striking the necessary balance between human decision making, and automated computer processing.  The field of machine learning—which looks to create computing systems that can solve problems on their own—is a perfect example of where human intelligence and mechanical computing power must go hand in […]

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CDS Fellow Interview: Daniel Fernández

Daniel Fernández is a new Post-Doctoral Fellow at the Center for Data Science, and his research focuses on the ways in which data science can be used to help individuals with speech impediments. Can you talk about the research projects you’re currently working on at CDS? I am mainly working on a project that focuses […]

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