The INFS2822 Podcast: Recent Episodes
Blair Wang, UNSW Business School
The official podcast for the UNSW course INFS2822: Programming for Data Analytics. New episodes every Friday during the teaching term.
Artificial Intelligence, Machine Learning, Supervised vs. Unsupervised Learning, Deep Learning and Artificial Neural Networks ... what a week!
Web scraping, web scraping ethics, and looking forwards towards Machine Learning and wrapping up the Group Assignment.
With no new content this week due to the Week 6 Flexibility Week, today's episode is all about summarising the course so far.
This week we discovered how geovisualisations like choropleth maps are made, and you folks also submitted your first assignment for the course!
This week involved kicking off Module 2 by deep-diving into JavaScript; adjusting the course according to the Module 1 exit survey; and preparing for the midterm. These are all about laying down firm foundations for weeks ahead.
This week, we finished off Module 1 with some technical concepts, but more importantly, a look at the big picture: communication, diversity, and what it means to program "for" data analytics.
This week, we deep-dived into the Python language. Much of what we learnt could be summarised with that old saying/meme: Adapt, Improvise, Overcome.
You made it to the end of Week 1! Let's recap and reflect on how we can help each other (#allinthistogether).
In this episode, we introduce the INFS2822 podcast and provide some tips about how you can get ahead before Term starts.