machine learning

PictureWondering what DDD stands for? Well, DDD stands for Developers Developers Developers! (presumably taken from this famous Steve Ballmers on-stage chant) It is an inclusive, non-profit conference for the software community. This year, DDD Melbourne was held on 15th September 2018 at Town Hall in Melbourne CBD. It was a one-day conference which started at 9:00am and concluded at 5:15pm. Personally, I thought the conference was very well-organized and at $79, it was affordable and being held on a Saturday meant I didn’t have to talk a day off work either. Based on what you fancy, there were several talks to choose from. The agenda, which was finalised after attendees voted on the talks, can be found here.  
In this blog series so far, I have presented the concepts behind a music recommendation engine, a music recommendation model for TensorFlow, and a GCP architecture to make it accessible via the web. The end result has been an ML model wrapped in a stand-alone service to give you predictions on-demand.Before diving further into implementing more complicated ML models, I thought it would first be worth looking into how we could deploy our TensorFlow model into AWS. After some investigation, I've concluded that the better way is to use Lambda functions. In this post, I'll explain why that's the case, how you can do it, and an interesting pain point you have to keep in mind.Let's break the new ground!headphones-man-music-374777.jpg