-
 Ranking Popular Deep Learning Libraries for Data Science
We rank 23 open-source deep learning libraries that are useful for Data Science. The ranking is based on equally weighing its three components: Github and Stack Overflow activity, as well as Google search results.
-
Data Science Bootcamp in Zurich, Switzerland, January 15 – April 6, 2018
Come to the land of chocolate and Data Science where the local tech scene is booming and the jobs are a plenty. Learn the most important concepts from top instructors by doing and through projects. Use code KDNUGGETS to save.
-
Introducing R-Brain: A New Data Science Platform
R-Brain is a next generation platform for data science built on top of Jupyterlab with Docker, which supports not only R, but also Python, SQL, has integrated intellisense, debugging, packaging, and publishing capabilities.
-
Top 15 Master of Data Science Programs You May Want To Consider
Top MS of Data Science Programs in the US - on-campus and online that teach you how to humanize data and what you can do to make a difference in your company.
-
Top 10 Machine Learning Use Cases: Part 1
This post is the first in a series whose aim is to shake up our intuitions about what machine learning is making possible in specific sectors — to look beyond the set of use cases that always come to mind.
-
Global Big Data Conference, Santa Clara, Aug 29-31 – KDnuggets Offer
Global Big Data Conference, a leading vendor agnostic conference for the Big Data community, will hold 5th conference in Santa Clara. Use code KDnuggets to save.
-
What Artificial Intelligence and Machine Learning Can Do—And What It Can’t
I have seen situations where AI (or at least machine learning) had an incredible impact on a business—I also have seen situations where this was not the case. So, what was the difference?
-
Stanford Online Data Mining Courses and Certificates
With Stanford Online Data Mining Certificates, learn to guide important business decisions, become indispensable, and give your career a boost.
-
Hacking in silico protein engineering with Machine Learning and AI, explained
Proteins are building blocks of all living matter. Although tremendous progress has been made, protein engineering remains laborious, expensive and truly complicated. Here is how Machine Learning can help.
-
Free Guidebook: Build a Complete Predictive Maintenance Strategy
Learn how predictive maintenance differs from and better than traditional one; Use cases and potential data sources; and next steps for getting started.
|
Ranking Popular Deep Learning Libraries for Data Science
Top 10 Machine Learning Use Cases: Part 1
What Artificial Intelligence and Machine Learning Can Do—And What It Can’t