Data Insights #102
Resources on MLOps and key Data Science concepts 🚀
Happy August! How quickly has this year gone?! It's been a pretty hectic few months for me! Since the last newsletter, I have been interviewing for a new job! The interview process has been incredibly intense, juggling multiple applications at once, some of which required take-home tests or live-coding so I went into full revision mode to brush up for the interviews (which I actually loved, but on top of full-time work was pretty exhausting and left little time for anything else!). It was worth it though and I'm super excited that I will be starting a new role at the end of August!
In this newsletter, I will share some of the brilliant resources I've recently discovered and my latest reads. Over the next few weeks, I hope to compile a list of things I've learnt during my recent interviews which I will share in my next newsletter! Or, if you want them sooner, you can follow me on Twitter!
Recommended resources from across the web and beyond!
MLOps: From Model-centric to Data-centric AI: Andrew Ng introduces MLOps and how to be more systematic and efficient in deploying ML systems, worth a watch!
Data Science Cheat Sheet: If you're looking for a resource that outlines fundamental DS concepts, this cheat sheet is a great start!
Applied ML: To complement the cheat sheet above, this repo provides examples of how to solve different ML problems with a directory of papers and blogs published by companies.
Machine Learning Crash Course: Google have put together an introductory course using real-world examples with different routes to follow depending on your experience!
📚This month’s reading list
After a few months where I've not been feeling inspired to read and starting books but not finishing, I've finally completed the audiobook I started a while ago and also picked up a couple of enjoyable light reads that hopefully has restarted my reading habit!
Check out my full list of recent reads here.
#009: Lord of the Flies by William Golding (audiobook) ✭✭✩✩✩
#010: Any Way the Wind Blows (Simon Snow #3) by Rainbow Rowell ✭✭✭✭✩
📘 Currently reading: Tender Is the Night by F. Scott Fitzgerald
Recently I've been considering different organisation systems for work and am interested to find out how other people stay organised; How do you keep track of your tasks? Do you use a paper notebook or digital system? How do you organise your projects and folder structure? Do you live by inbox zero?
I typically use a combination of a paper diary to note down my to-do list and how I spend my time during the day, with a notebook to keep detailed notes and a digital kanban board to track work. This system works well enough, but I still struggle to find some important information I wrote down in my notebooks so would love to optimise this. I'm curious and it would be great to hear about the systems that work for you and what tools (digital or paper!) that you use to keep organised. Feel free to drop a comment below or send me an email and I will share any tips next time!