Data Science and Engineering
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An article entitled "How to experience the Lightning network right now" written by Janis Solks with 41 claps is now accessible for read!

#LightningNetwork #Cryptocurrency #Software #Finance #Bitcoin

@ITNEXT

Bitcoin has had scaling issues for years but since the activation of SegWit, it will allow making leaps in transaction throughput. You can... > Read More ...


https://hackernoon.com/how-to-experience-the-lightning-network-right-now-e47e7dc936c1
An article entitled "Tools I wish I had known about when I started coding: Revisited" written by Mario Hoyos with 64 claps is now accessible for read!

#Tech #Programming #Software #WebDevelopment #Tools

@ITNEXT

A few days ago, I wrote this article for freeCodeCamp which has since gone on to be read more times than I could have ever imagined. The... > Read More...

https://medium.freecodecamp.org/tools-i-wish-i-had-known-about-when-i-started-coding-revisited-ffb715ffd23f
A new article entitled "The 6 Complexities of Hosting a Managed IoT Service" written by Jeffrey Lee is now online!

#InternetofThings #Development #Software #Hardware #Platform

@ITNEXT

Why underestimating complexity causes 75% of self-initiated IoT projects to fail > Read More...

https://hackernoon.com/the-6-complexities-of-hosting-a-managed-iot-service-b7696eea52ba
A new article entitled "50 Common Misconceptions in the World of Software Development" written by Karthik Sirasanagandla is now online!

#Agile #SoftwareDevelopment #Software #SoftwareMisconceptions #SoftwareEngineering

@ITNEXT

We all have our share of mistakes. We evolve over time learning our lessons. This post is to help you introspect your thoughts on varied… > Read More...

https://hackernoon.com/50-common-misconceptions-in-the-world-of-software-development-7144566c54f9
Automating the end-to-end lifecycle of Machine Learning applications
#CD4ML #software_engineering #ML

Discoverable and Accessible Data
Reproducible Model Training
Model Serving (Embedded model, Model as service)
Testing and Quality in Machine Learning
Experiments Tracking
Model Deployment (Multiple models, Shadow models)
Model Monitoring and Observability

https://martinfowler.com/articles/cd4ml.html