This is part five in a series on Machine Learning with .NET. So far in this series, we've looked at training a model at runtime. Even in the prior post, where we looked at predictions, we first had to train a model. With a Naive Bayes model against a small data set, that's not an onerous task---it's…
Upcoming Events: SQL Saturday Cork
Key Details What: SQL Saturday CorkWhere: University College Cork, Western Gateway, Western Road, Cork, Cork, County Cork, T12 XF62, Ireland When: Saturday, June 29th.Admission is free. Register on the SQL Saturday website. What I’m Presenting 09:30 AM — 10:30 AM — Launching a Data Science Project This will be my first visit to Ireland, so something to…
Machine Learning with .NET: Predictions
This is part four in a series on Machine Learning with .NET. Thanks to some travels, part 4 in the series is a bit later than I originally anticipated. In the prior two posts, we looked at different ways to create, train, and test models. In this post, we'll use a trained model and generate predictions from…
DataCamp Course: Time Series Analysis in SQL Server
I have a DataCamp course which just launched entitled Time Series Analysis in SQL Server. Course DescriptionSQL Server has a robust set of tools to prepare, aggregate, and query time series data. This course will show you how to build and work with dates, parse dates from strings (and deal with invalid strings), and format…
Upcoming Events: Datagrillen
Key Details What: DatagrillenWhere: Kaiserstraße 10b, 49809 Lingen (Ems), GermanyWhen: Thursday, June 20th and Friday, June 21st.Tickets appear not to be available any longer. What I’m Presenting 01:15 PM — 02:30 PM, Thursday — Approaching Zero I have a full series put together on the topic, all for this presentation. This will be my first time…
Machine Learning with .NET: Model Builder
This is part three in a series on Machine Learning with .NET. Last time on 36 Chambers, we looked at building our own model to explain why Kelvin Benjamin is awful. Today, we're going to use the ML.NET Model Builder to understand how awful airlines are. The unofficial motto of this blog, after all, is "Parades need…
Course Review: Kubernetes Installation and Configuration
This is a review of Anthony Nocentino's Pluralsight course entitled Kubernetes Installation and Configuration Fundamentals. Anthony's course is intended for systems administrators with some Docker experience. My interest in this is more from the development side than the administrative side, so I was not the target audience here. Despite that, I think this was an…
Upcoming Events: SQL Saturday Columbus
Key Details What: SQL Saturday ColumbusWhere: Roush Hall, Otterbein University, 27 S. Grove Street, Columbus, OH 43081When: Saturday, June 8th.Admission is free. Register on the SQL Saturday website. What I’m Presenting 02:15 PM — 03:15 PM — Classification with Naive Bayes This went over well in SQL Saturday Jacksonville, so I'm hopeful that it will go…
PolyBase Revealed: PolyBase to Spark
Today's PolyBase Revealed post covers another thing I've been waiting for in PolyBase for a long time: integration with Apache Spark. MapReduce is Slow A big reason I'm interested in integrating PolyBase with Apache Spark is that the current techniques for integrating with Hadoop---either streaming all of the data over from HDFS into SQL Server…
Machine Learning with .NET: Modeling
This is part two in a series on Machine Learning with .NET. In the first post in this series, I took a look at the "why" behind ML.NET as well as some of its shortcomings in data processing. In this post, I want to look at an area where it does much better: training models.…
36 Chambers - The Legendary Journeys: Execution to the max! 