There are a lot of popular machine learning projects out there, but many more that are not. Which of these are actively developed and worth checking out? Here is an offering of 5 such projects, the most recent in an ongoing series. Source: 5 Machine Learning Projects You Can No Longer Overlook, January
Ian Swanson, CEO of big data firm DataScience, says platforms, bots and probablistic programming will help data scientists provide "real, clear value" this year.
Sourced through Scoop.it from: www.techrepublic.com
Clear need for platforms as a key enabler.
Machine learning is a rising star in the compute constellation, and for good reason. It has the ability to not only make life more convenient – think email
Sourced through Scoop.it from: www.nextplatform.com
Fantastic resource created by Andrea Motosi. I've only included the 5 categories that are the most relevant to our audience, though it has 31 categories total,…
Sourced through Scoop.it from: www.datasciencecentral.com
In last week’s blog, I explained why you should Master R (even if it may eventually become obsolete). I wrote that article to address people who claim mastering
Sourced through Scoop.it from: www.r-bloggers.com
In this article, I clarify the various roles of the data scientist, and how data science compares and overlaps with related fields such as machine learning, de…
Sourced through Scoop.it from: www.datasciencecentral.com
Here's a roundup of annual predictions from around the Big Data industry. Key themes this year include artificial intelligence/machine learning, cloud adoption, demand for data scientists and the growing importance of the Internet of Things.
Sourced through Scoop.it from: www.zdnet.com