Google AI Princeton: Current and Future Research

Trill

The constant evolution of technology has meant data and information is being generated at a rate unlike ever before, and it’s only on the rise. Furthermore, the demand for people skilled in analyzing, interpreting and using this data is already high and is set to grow exponentially over the coming years. These new roles cover all aspect from strategy, operations to governance. Hence, the current and future demand will require more data scientists, data engineers, data strategists, and Chief Data Officers.

SMART: An Open Source Data Labeling Platform for Supervised Learning

This paper investigates to identify the requirement and the development of machine learning-based mobile big data analysis through discussing the insights of challenges in the mobile big data (MBD). Furthermore, it reviews the state-of-the-art applications of data analysis in the area of MBD. Firstly, we introduce the development of MBD. Secondly, the frequently adopted methods of data analysis are reviewed. Three typical applications of MBD analysis, namely wireless channel modeling, human online and offline behavior analysis, and speech recognition in the internet of vehicles, are introduced respectively. Finally, we summarize the main challenges and future development directions of mobile big data analysis. Mobile big data analysis with machine learning

A couple of weeks ago I talked about how to optimally mount a mirror so that you could see your entire body and minimize the size of the mirror needed.

Roger Peng ** 2018/12/19

ICML 2019 has an option for supplementary code submission that the authors can use to provide additional evidence to bolster their experimental results. Since we have been getting a lot of questions about it, here is a Frequently Asked Questions for authors.

Customizable Higher-Order Recipe Step Functions (customsteps)Customizable higher-order recipe step functions for the ‘recipes’ package. These step functions take ‘prep’ and ‘bake’ helper functions as inputs and c …

By Tim Dobbins, Data Scientist