This article talks about the need to carefully plan a machine learning project—before you start it!
This article shows ways to synch your architecture to your team composition for a new project, and how to start planning your project.
After reading this article, you will be able to:
– Differentiate between pure and impure functions
– Provide code examples in which impure functions cause unpredicted code behavior.
From Rust Servers, Services, and Apps by Prabhu Eshwarla This article shows you how you can get started using Actix and Rust. Take 40% off Rust Servers, Services, and Apps by entering fcceshwarla into the discount code box at checkout… Continue Reading →
From DataScience Bookcamp by Leonard Apeltsin This article covers: • Analysis of Binomials using the SciPy library. Take 40% off Data Science Bookcamp by entering fccapeltsin into the discount code box at checkout at manning.com. Statistics is a branch of… Continue Reading →
From Get Programming with Scala by Daniela Sfregola After reading this article, you will be able to: § Implement anonymous functions § Code using the concise notation for anonymous functions Take 37% off Get Programming with Scala by entering… Continue Reading →
From Machine Learning Bookcamp by Alexey Grigorev
In this series, we cover model deployment: the process of putting models to use. In particular, we’ll see how to package a model inside a web service, allowing other services to use it. We also show how to deploy the web service to a production-ready environment.
From Software Telemetry by Jamie Riedesel
This article covers emitting and shipping telemetry to somewhere off the system, such as into a queue.
From Real-World Cryptography by David Wong This article describes how Transport Layer Security Works. Take 37% off Real-World Cryptography by entering fccwong into the discount code box at checkout at manning.com. Today, Transport Layer Security (TLS) is the de-facto standard… Continue Reading →
