Data Science Archives

Datalytyx Guest Lectures at University of Newcastle Data Science Programme

by Datalytyx | Oct 30, 2019 | Community, Data Science, Datalytyx News, IoT, News & Press Releases

Guy Adams, Datalytyx CTO and Colin Bradford, Chief Architecture guest lectured at the University of Newcastle Data Science MSc program. They were supported by Kieran Duffy (who joined Datalytyx from the MSc Program last year) and John Webb, Datalytyx Commercial...

Datalytyx @ Microsoft AI Hackathon Part II

by William Holtam | Jan 7, 2019 | BlogPosts, Data Science, Databricks, Snowflake

For anyone who hasn’t seen part 1 of this series, it is available here: Part One – The Event. Recap Datalytyx attended the Microsoft AI Hackathon in October 2018. This was an educational exercise and an opportunity for us to learn from the very knowledgeable Microsoft...

Choosing the right forecast model for time series data

by Thomas Rowe | Dec 12, 2018 | BlogPosts, Data Science

Time series modelling is the process in which data (involving years, weeks, hours, minutes and so on) is analysed using a special set of techniques in order to derive insights. This type of modelling is especially important in the event of having autocorrelated data,...

Datalytyx @ Microsoft AI Hackathon

by William Holtam | Nov 20, 2018 | Azure, BlogPosts, Data Science, Databricks, Microsoft, Snowflake

This is Part I of a 2 part series. For Part II and to see the results of the categorisation, click here! Datalytyx attended the October Azure AI Hackathon hosted by Microsoft in London. This was a team based technical event for Microsoft partners, focused on:...

Large Scale Machine Learning Made Easy Using Azure Databricks with Snowflake

by Chris Schon | Sep 13, 2018 | Azure, BlogPosts, Data Science, Databricks, Microsoft, Snowflake

This is a demonstration of how you can use Azure Databricks to build a recommendation algorithm from your Snowflake database tables. We use the publicly available Netflix movies data, a record of 100 million movie ratings by Netflix users. This is publicly available...