Custom Pipes in Angular — The Ultimate Guide
How to create custom pipes in Angular, what are pure and impure pipes, and how to use pure pipes to improve an application’s performance.
Kagklis Vasileios
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How to Improve Recursive Time Series Forecasting
Simple yet Effective Evolutions of Recursive Method without the need for Deep Learning
Marco Cerliani
Data Drift Explainability: Interpretable Shift Detection with NannyML
Alerting Meaningful Multivariate Drift and ensuring Data Quality — Model monitoring is becoming a hot trend in machine learning.
Kagklis Vasileios
Hacking Statistical Significance: Hypothesis Testing with ML Approaches
Test Statistical Significance in any Context Without Assumptions
Marco Cerliani
.Net 7 JSON Performance trap
We should keep performance in mind when writing code while avoiding making nano optimizations. Sometimes what looks like a frugal optimization makes a massive difference.
Raphael Yoshiga
Common Key Mistakes in Hybrid Work and How to Avoid Them
I’ll never forget a meeting I once had with, Michelle, a senior executive at a large company.
Erica Dhawan
Rethinking Survival Analysis: How to Make your Model Produce Survival Curves
Time to Event Forecasting with Simple ML Approaches
Marco Cerliani
GraphQL Microservices - C#
On my last post, I explained why you could consider using a GraphQL API instead of REST. I used the example of an order summary page, where a mobile application might have to make multiple HTTP
Raphael Yoshiga
Please, no Cosmos DB with EntityFramework.
I’ve seen projects using Entity Framework to abstract Cosmos DB, trying to simplify developers' lives. Still, the tradeoffs for cost, performance and error probability are strongly in favour
Raphael Yoshiga
Microservices or Nanoservices?
It’s almost Christmas 2022, and the software development industry has learned many lessons. One of them was that monoliths are evil. B
Raphael Yoshiga
Erica Dhawan
Raphael Yoshiga
Marco Cerliani
Kagklis Vasileios
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