A Machine Learning Course: Should Data Scientists Take One?

Machine learning, a subfield of artificial intelligence, is huge right now. In 2015, the web search for this topic exploded, and interest in it continues to rise today. According to Entrepreneur, machine learning “has garnered particular attention from the pundits for its potential impact on the world’s most important industries.” trends.embed.

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How to update your scikit-learn code for 2018

In 2015, I created a 4-hour video series called Introduction to machine learning in Python with scikit-learn. In the years since, hundreds of thousands of students have watched these videos, and thousands continue to do so every month.
At the time of the recording, I was using Python 2.7 and scikit-learn 0.16.

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What to expect from Strata Conference 2015? An empirical outlook.

In one week, the 2015 edition of Strata Conference (or rather: Strata + Hadoop World) will open its doors to data scientists and big data practitioners from all over the world. What will be the most important big data technology trends for this year? As last year, I ran an analysis on the Strata abstract for 2015 and compared them to the previous years.

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Thoughts on NIPS 2015 and OpenAI

A few weeks ago, I attended NIPS 2015, which turned out to be (by far) the largest machine learning conference ever. With nearly 4000 attendees, the conference saw a roughly 50% increase from the previous year. Much of this growth seems fueled by industry interest, especially in topics such as deep learning and large scale learning.

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