Sat.Feb 22, 2020

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Cloud Data Science 8

Data Science 101

Welcome to Cloud Data Science 8. This weeks news includes information about AWS working with Azure, time-series, detecting text in videos and more. News. Amazon Redshift now supports Authentication with Microsoft Azure AD Redshift, a data warehouse, from Amazon now integrates with Azure Active Directory for login. This continues a trend of cloud companies working together.

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Lightning Fast XGBoost on Multiple GPUs

MLWhiz

XGBoost is one of the most used libraries fora data science. At the time XGBoost came into existence, it was lightning fast compared to its nearest rival Python’s Scikit-learn GBM. But as the times have progressed, it has been rivaled by some awesome libraries like LightGBM and Catboost, both on speed as well as accuracy. I, for one, use LightGBM for most of the use cases where I have just got CPU for training.

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Share your Projects even more easily with this New Streamlit Feature

MLWhiz

A Machine Learning project is never really complete if we don’t have a good way to showcase it. While in the past, a well-made visualization or a small PPT used to be enough for showcasing a data science project, with the advent of dashboarding tools like RShiny and Dash, a good data scientist needs to have a fair bit of knowledge of web frameworks to get along.

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Bamboolib?—?Learn and use Pandas without Coding

MLWhiz

Have you ever been frustrated by doing data exploration and manipulation with Pandas? With so many ways to do the same thing, I get spoiled by choice and end up doing absolutely nothing. And then for a beginner, the problem is just the opposite as in how to do even a simple thing is not appropriately documented. Understanding Pandas syntax can be a hard thing for the uninitiated.

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Beyond the Basics of A/B Tests: Innovative Experimentation Tactics You Need to Know as a Data or Product Professional

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.