Friday, July 6, 2018

Back to basics.

As I suspected, I totally need to go back and brush up on my algebra skills in order to get the most out of the Machine Learning course.

Many data science sources online recommends Khan Academy as a wonderful (and free) way of learning the basics required for the course, so that's where I will start.

Wish me luck!

Thursday, July 5, 2018

Baby Steps: starting out in Data Science

Hello!

I am 38 weeks and 3 days pregnant today, and have been on maternity leave for two and a half blissful weeks. I've taken 12 months maternity leave from my role as a Territory Manager in technical sales, and want to undertake some self-guided learning during this time, so that I can continue to grow professionally, whilst undergoing the huge life change that is having my first child.

In May, I finished the course 'Foundations of Data Science: Computational Thinking With Python' through the University of Berkeley on EdEx and loved the challenge of it, so I've decided to continue focusing my learning in the field of data science.

With this intention, yesterday I signed up to 'Machine Learning' by Stanford University, on Coursera. This is an 11 week course, but it's kept open for 6 months, so even if the timing doesn't work out around a newborn, I can switch into another stream.

I should note at this stage that the Data Science course I did in May was the first time I'd really touched any maths since I finished University 5 years ago, so I may well need to take some more math classes to get where I need to be with this Machine Learning course.

I thought I'd start a blog as a record of my learning process, both to keep myself motivated and so that I'd have something to look back on; to track the highs and lows of my progress.

Thus begins Math, Machines and Milk- wish me luck!