Cloud migration requires a careful planning process to ensure all systems work as they should. Use this checklist, sponsored by Immuta and TDWI, to learn seven best practices for data teams migrating sensitive data to the cloud.
The immense expansion of digital data has increased the demand for proficiency in trading strategies that use machine learning (ML). Learn more from author Stefan Jansen, and get his latest book on the subject from Packt Publishing.
Recently released PerceptiLabs 0.11, is quickly becoming the GUI and visual API for TensorFlow. PerceptiLabs is built around a sophisticated visual ML modeling editor in which you drag and drop components and connect them together to form your model, automatically creating the underlying TensorFlow code. Try it now.
Data science is everywhere. But what are the best ways to learn the field well enough to enter the profession? Read on for some tips and steps on doing so, and some great courses to help you get there.
Join the Massive Data Revolution with SQream. Shorten query times from days to hours or minutes, and speed up data preparation with - analyze the raw data directly.
The Johns Hopkins SAIS MA in Global Risk (online) program prepares graduates to gain experience analyzing and addressing real-world scenarios, and the knowledge to fine-tune your analyses with insights from economics, history and political science. Enroll now and join a highly active, international community of more than 230,000 Johns Hopkins alumni.
The U.S. Department of Energy’s (DOE) Office of Fossil Energy (FE) will award up to $1.5 million to winning innovators in a prize challenge to support FE’s SMART initiative. Registration deadline to participate in the challenge is 11:59 p.m. EDT Friday, Jan 22, 2021.
Eric Siegel's business-oriented, vendor-neutral machine learning course is designed to fulfill vital unmet learner needs, delivering material critical for both techies and business leaders.
New book, "Deep Learning Design Patterns" presents deep learning models in a unique-but-familiar new way: as extendable design patterns you can easily plug-and-play into your software projects. Use code kdmath50 to save 50% off.
Machine learning has become an essential tool for IT security professionals seeking to detect and prevent attacks and vulnerabilities. The Center for Data and Computing (CDAC) convened a trio of University of Chicago computer science faculty to produce an innovative new remote Machine Learning for Cybersecurity certificate that will be offered for the first time this autumn.
PerceptiLabs – A GUI and Visual API for TensorFlow
Good-bye Big Data. Hello, Massive Data!
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