Analytics Vidhya

AUGUST 4, 2019

Overview Singular Value Decomposition (SVD) is a common dimensionality reduction technique in data science We will discuss 5 must-know applications of SVD here and. The post Master Dimensionality Reduction with these 5 Must-Know Applications of Singular Value Decomposition (SVD) in Data Science appeared first on Analytics Vidhya.

Data Science 240

Data Science Analytics Machine Learning 240

Corinium

AUGUST 4, 2019

Joining us at the Chief Data & Analytics Officer Melbourne (9-11 September), we are pleased to welcome Pieter Vorster, Executive General Manager, Customer Solutions & Insights at Bankwest. He shares his insight on the knowledge gap growing between decision-makers and data specialists.

Management 150

Management Analytics Big Data Data Analytics 150

Sisense

AUGUST 4, 2019

Blog. Many-to-many relationships can be complicated. Especially when it comes to the data in your tables. That is unless you understand the different scenarios, their resolutions, and how to build a good relationship with your data. Just as a general overview, let’s for a moment get right back to basics and remind ourselves of what we mean by the terms “database” and “relationship”.

Testing 75

Testing Visualization Dashboards Modeling 75

Teradata

AUGUST 4, 2019

Self-service analytics are increasingly being implemented by organizations that want to promote a data-driven culture. But how sustainable is it? Read more.

Analytics 16

Analytics Data-driven IT 16

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.

Experimentation