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.Read Full Story
In 2011, Patagonia released an ad on Black Friday advising consumers not to buy their jackets.
In 2015, Dove released a campaign that celebrated women, rather than showcasing their deodorant or body wash.
The tactic used in these campaigns is called “reverse positioning.
NIPS 2015 was bigger than ever, literally: at circa 3700 attendees this was roughly twice as many attendees as last year, which in turn was roughly twice as many as the previous year. This is clearly unsustainable, but given the frenzied level of vendor and recruiting activities, perhaps there is room to grow.Read Full Story
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.
When I left the academic world, by the end of 2015, I had almost finished a
review on the state of the art in usage of machine learning methods on
neuroscience: how predictive models can be used for certain diseases
(Alzheimer’s, Parkinson’s, etc) when the input data comes from structural (not
functional) magnetic resonance imaging.
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.Read Full Story
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.Read Full Story
Last month I attended KDD 2015 in beautiful Sydney, Australia. For those who don’t know, KDD is the premier international conference for applied machine learning & data mining, and is often the venue for some of the most interesting data analysis research projects.Read Full Story