About Tyler Folkman: I am currently pursuing my masters in computer science at UT Austin with a focus on machine learning and data mining. I am doing research at the intersection of healthcare and data mining as a member of the IDEAL lab and work part-time at Cognitive Scale. This tutorial was originally featured here, and is available on Github. So I feel like there is not a lot of good information out their on how to use Bayes Theorem for modeling – especially with Python code. Like try figuring out how to understand a Bayesian Linear Regression from just Google searches – not super easy. So I thought I would maybe do a series of posts working up to Bayesian Linear regression. The first post in this series is an...
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A multi-coloured squirrel may not seem like the most obvious choice of logo for a data processing technology; then again, the team behind Apache Flink have hardly done things by the book. What start out as a University research project evolved into a fully-fledged company, complete with artfully-decapitalised name (data Artisans), and an Apache Software Foundation Top-Level Project. As Flink grew in Dataconomy’s back yard in Berlin, we had the pleasure of meeting some of the data Artisans, and discussing with CEO Kostas Tzoumas how Flink transformed from a research project to a Top-Level Project. Give us a brief introduction to yourself & your work. My career has been focused on building innovative data-intensive systems, first in academia and now in practice. I worked on the Stratosphere research project, the...
Read on »
In a first, the White House has appointed a certain Dr. D.J. Patil as the Deputy Chief Technology Officer for Data Policy and Chief Data Scientist, it was announced Wednesday. Dr. Patil will report to erstwhile Google executive Megan Smith, who is now the U.S.’ Chief Technology Officer. “As part of the CTO team, DJ will work closely with colleagues across government, including the Chief Information Officer and U.S. Digital Service. DJ’s work will also include data science leadership on the Administration’s momentum on open data and data science,” Smith wrote in a blog post making the announcement. Explaining further his role at the White House, she wrote: “DJ will help shape policies and practices to help the U.S. remain a leader in technology and innovation, foster partnerships to help...
Read on »
At Criteo we display online advertisement, and we sell clicks to our clients. So we have to predict, for each of our 2 billion daily banners, whether it will likely be clicked or not. That’s why we use machine learning, and we feed the algorithms of our well-oiled engine with big data. But it has not always been like this. Actually, the shape of our prediction engine –and its underlying architecture- had to evolve as our business grew. At first, when our dataset fitted in a SQL table, there was no need to invoke the name of Hadoop. At that time, we implemented regression tree algorithms in C#. Single process learnings took place on a single server. And we were happy. An issue with regression tree, is that their size...
Read on »
Viv Labs, a stealthy startup founded by the team that created Siri, has secured $12.5 million in Series B funding, in order to carry out its vision of an advanced AI. If reports are to be believed, the round was led by the Silicon Valley’s elite Iconiq Capital along with contribution from Horizons Ventures, Pritzker Group VC and other private individuals, taking the total investment into the firm so far, to $22.5 million. Although the details of the development remain undisclosed and Viv hasn’t made any comment on it, as TechCrunch points out, the current investment round was more “opportunistic” in nature as the startup isn’t quite in need of funding but is rather looking at benefits for its AI program through association with the Silicon Valley Billionaires Club –...
Read on »
What does a machine learning scientist who also happens to be a wine enthusiast come up with after a chance encounter with a legendary Bordeaux wine? An application that might be able to predict the quality of wine. Alex Tellez was a Machine Learning Scientist at Robert Half and a Senior Data Scientist at Switchfly before that. Now he is a Cyclist, Applications & Community Hacker at H2O, and he has been up to some serious ML application. “I thought, can I apply some machine learning to Bordeaux wine?” notes Tellez, according to a report in Datanami. Tellez found that the Bordeaux quality in the years 2009 and 2010 surpassed that of any in the previous 5 decades. He worked on the possibility that there may be a link between...
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About Tyler Folkman: I am currently pursuing my masters in computer science at UT Austin with a focus on machine learning and data mining. I am doing research at the intersection of healthcare and data mining as a member of the IDEAL lab and work part-time at Cognitive Scale. This tutorial was originally featured here, and is available on Github. So I feel like there is not a lot of good information out their on how to use Bayes Theorem for modeling – especially with Python code. Like try figuring out how to understand a Bayesian Linear Regression from just Google searches – not super easy. So I thought I would maybe do a series of posts working up to Bayesian Linear regression. The first post in this series is an...
A multi-coloured squirrel may not seem like the most obvious choice of logo for a data processing technology; then again, the team behind Apache Flink have hardly done things by the book. What start out as a University research project evolved into a fully-fledged company, complete with artfully-decapitalised name (data Artisans), and an Apache Software Foundation Top-Level Project. As Flink grew in Dataconomy’s back yard in Berlin, we had the pleasure of meeting some of the data Artisans, and discussing with CEO Kostas Tzoumas how Flink transformed from a research project to a Top-Level Project. Give us a brief introduction to yourself & your work. My career has been focused on building innovative data-intensive systems, first in academia and now in practice. I worked on the Stratosphere research project, the...
In a first, the White House has appointed a certain Dr. D.J. Patil as the Deputy Chief Technology Officer for Data Policy and Chief Data Scientist, it was announced Wednesday. Dr. Patil will report to erstwhile Google executive Megan Smith, who is now the U.S.’ Chief Technology Officer. “As part of the CTO team, DJ will work closely with colleagues across government, including the Chief Information Officer and U.S. Digital Service. DJ’s work will also include data science leadership on the Administration’s momentum on open data and data science,” Smith wrote in a blog post making the announcement. Explaining further his role at the White House, she wrote: “DJ will help shape policies and practices to help the U.S. remain a leader in technology and innovation, foster partnerships to help...
At Criteo we display online advertisement, and we sell clicks to our clients. So we have to predict, for each of our 2 billion daily banners, whether it will likely be clicked or not. That’s why we use machine learning, and we feed the algorithms of our well-oiled engine with big data. But it has not always been like this. Actually, the shape of our prediction engine –and its underlying architecture- had to evolve as our business grew. At first, when our dataset fitted in a SQL table, there was no need to invoke the name of Hadoop. At that time, we implemented regression tree algorithms in C#. Single process learnings took place on a single server. And we were happy. An issue with regression tree, is that their size...
Viv Labs, a stealthy startup founded by the team that created Siri, has secured $12.5 million in Series B funding, in order to carry out its vision of an advanced AI. If reports are to be believed, the round was led by the Silicon Valley’s elite Iconiq Capital along with contribution from Horizons Ventures, Pritzker Group VC and other private individuals, taking the total investment into the firm so far, to $22.5 million. Although the details of the development remain undisclosed and Viv hasn’t made any comment on it, as TechCrunch points out, the current investment round was more “opportunistic” in nature as the startup isn’t quite in need of funding but is rather looking at benefits for its AI program through association with the Silicon Valley Billionaires Club –...
What does a machine learning scientist who also happens to be a wine enthusiast come up with after a chance encounter with a legendary Bordeaux wine? An application that might be able to predict the quality of wine. Alex Tellez was a Machine Learning Scientist at Robert Half and a Senior Data Scientist at Switchfly before that. Now he is a Cyclist, Applications & Community Hacker at H2O, and he has been up to some serious ML application. “I thought, can I apply some machine learning to Bordeaux wine?” notes Tellez, according to a report in Datanami. Tellez found that the Bordeaux quality in the years 2009 and 2010 surpassed that of any in the previous 5 decades. He worked on the possibility that there may be a link between...
