What we're about

This is the official group for the Apache Hadoop focused Data Science Salon Community in Miami https://datascience.salon/

A group for anyone interested in Apache Hadoop or any related technologies such as Spark, Hive, HBase, etc. We welcome all skill levels and all kinds of users: data scientists, application developers, system administrators. if you are interested in Hadoop or Big Data, this is your group!

Access on demand DSS content on Insider: https://insider.datascience.salon/

Upcoming events (5)

[Virtual] MLOps Salon

Online event

Register here: https://hubs.ly/H0rJcnZ0 Join us for a 2-hour virtual event as we gather to discuss the latest in MLOps. The MLOps Virtual Salon will focus on the impact of stable and reliable Machine Learning Operations. This two-hour virtual event showcases best-practices and real-world case studies for managing the full ML lifecycle. Hear from three experts from Microsoft, RedHat and Verta who will provide technical demonstrations as well as success stories of real-life examples. Connect & engage with others through live Q&A and discussions. Register here: https://hubs.ly/H0rJcnZ0

[Webinar] From Data Scientist to Machine Learning Engineer

Register here: https://bit.ly/3hXOWR2 Interested in taking your Data Science career to the next level by becoming a Machine Learning Engineer? Join Data Science Salon and Springboard for a live webinar on Thursday, July 16th, where we’ll cover how to transition from data science to machine learning engineering. At the end of the webinar, we’ll share some helpful resources to help you get started in your career transition from Data Scientist to Machine Learning Engineer. Register here: https://bit.ly/3hXOWR2

[Webinar] Hardening a Cleanroom AI Platform

Online event

Register here: https://hubs.ly/H0shHhB0 Artificial intelligence projects in high-compliance industries, like healthcare and life science, often require processing Protected Health Information (PHI). This may happen because the nature of the projects does not allow full de-identification in advance – for example, when dealing with rare diseases, genetic sequencing data, identify theft, or training de-identification models – or when training is anonymized data but inference must happen on data with PHI. In such scenarios, the alternative is to create an “AI cleanroom” – an isolated, hardened, air-gap environment where the work happens. Such a software platform should enable data scientists to log into the cleanroom, and do all the development work inside it – from initial data exploration & experimentation to model deployment & operations – while no data, computation, or generated assets ever leave the cleanroom. This webinar presents the architecture of such a Cleanroom AI Platform, which has been actively used by Fortune 500 companies for the past three years. Second, it will survey the hundreds of DevOps & SecOps features requires to realize such a platform – from multi-factor authentication and point-to-point encryption to vulnerability scanning and network isolation. Third, it will explain how a Kubernetes-based architecture enables “Cleanroom AI” without giving up on the main benefits of cloud computing: elasticity, scalability, turnkey deployment, and a fully managed environment. Register here: https://hubs.ly/H0shHhB0

DSSe Virtual Salon | Volume 3

Online event

Data Science Salon wants to encourage, inspire and transcend this current climate of COVID 19! About this Event Data Science Salon Elevate is a unique female focused virtual conference which brings together specialists to educate each other, illuminate best practices and innovate new solutions. Learn as female thought leaders share their wisdom and experience in their chosen field. Register here: https://bit.ly/31iD4Ub Apply to speak at the next one: https://formulatedby.typeform.com/to/qlr8Va

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