Supervised training of an artificial neural network entails training the network to associate defined patterns with specified labels. Optical Character Recognition is an example of supervised training, where each input pattern is mapped to an alphanumeric character. In unsupervised training, a neural network learns to extract recurring patterns from noisy data. One of the earliest […]
Steve thinks communication is a core sill for technology people, especially in the age of AI.
I know a lot of y’all lag behind on upgrading SSMS, but v22.3 just introduced something that you need to be aware of. It’s going to impact any of your users who DO upgrade their SSMS, or who use Github Copilot. There’s something that you can do in order to improve Copilot’s code quality and make it match your preferred coding standards.
Today Steve talks about deployments and whether you should roll forward or roll back.
This tip demonstrates how find and list allf duplicate rows in a dataset using a Common Table Expression (CTE).
How do you detect issues in your systems? Testing? Monitoring? Steve Jones has a few thoughts that we should find ways to do so before our customers.
This article presents a way to check and validate input before using it in your dynamic SQL queries to prevent SQL Injection problems.
Four years ago I wrote a blog on this site explaining why Python is better than C# and, arguably, most other programming languages. To redress the balance, here are 10 reasons why you might want to avoid getting caught up in Python’s oh-so-tempting coils – particularly when building large, long-lived systems.
Introduction. Why AI Readiness Starts in the Database You probably don’t need machine learning today. Most organizations don’t. You already have reporting dashboards, operational workflows, and business intelligence that work just fine without neural networks or predictive models. That’s not a failure. It’s normal. The problem doesn’t show up immediately. It shows up a few […]
By Steve Jones
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I have this data in a table called dbo.NFLTeams
TeamID TeamName City YearEstablished ------ -------- ---- --------------- 1 Cowboys Dallas 1960 2 Eagles Philadelphia 1933 3 Packers Green Bay 1919 4 Chiefs Kansas City 1960 5 49ers San Francisco 1946 6 Broncos Denver 1960 7 Seahawks Seattle 1976 8 Patriots New England 1960If I run this code, how many rows are returned?
SELECT TOP 2
json_objectagg('Team' : TeamName)
FROM dbo.NFLTeams;
See possible answers