data

elasticsearch

Github Elasticsearch Interview

Interview with Mahesh Paolini-Subramanya on Ubiquiti's use of Elasticsearch 

Mahesh Paolini-Subramanya Elasticsearch Interview

As data scientists add deep learning to their arsenals, they need tools that integrate with existing platforms and frameworks. This is particularly important for those who work in large enterprises. In this episode of the Data Show, I spoke with Adam Gibson, co-founder and CTO of Skymind, and co-creator of Deeplearning4J (DL4J). Gibson has spent the last few years developing the DL4J library and community, while simultaneously building deep learning solutions and products for large enterprises.

The Key to Building Deep Learning Solutions for Large Enterprises

In this episode of the Data Show, I spoke with Jason Dai, CTO of big data technologies at Intel, and co-chair of Strata + Hadoop World Beijing. Dai and his team are prolific and longstanding contributors to the Apache Spark project. Their early contributions to Spark tended to be on the systems side and included Netty-based shuffle, a fair-scheduler, and the “yarn-client” mode. Recently, they have been contributing tools for advanced analytics. In partnership with major cloud providers in China, they’ve written implementations of algorithmic building blocks and machine learning models that let Apache Spark users scale to extremely high-dimensional models and large data sets. They achieve scalability by taking advantage of things like data sparsity and Intel’s MKL software. Along the way, they’ve gained valuable experience and insight into how companies deploy machine learning models in real-world applications.

Deep Learning for Apache Spark

In this episode of the SuperDataScience Podcast, I chat with Senior Insights Manager at LinkedIn Josh Coulson. You will talk about the implications of moving into the Gig Economy, learn about how to build a personal brand in data science, discuss about data democratization across organizations and get insights on how to enhance your career and build better opportunities in the space of data science.

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/33

The Super Data Science Podcast: Big Data | Analytics Careers | Mentors | Success

SDS 033: Building a Personal Brand in Data Science with Senior Insights Manager Josh Coulson

In this episode of the SuperDataScience Podcast, I chat with Data Science Course Critic David Venturi. You will discuss about a data-driven approach to building a masters degree in data science, learn about the alternative strategies necessary to secure employment and get some essential study hacks you would love to know. 

If you enjoyed this episode, check out show notes, resources, and more at https://www.superdatascience.com/35

Mahesh Paolini-Subramanya Elasticsearch Interview

Andrew Cholakian