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Wuraola Oyewusi

@wuraoyewusi

Jan 9, 2021

If you're curious about what Data/ AI Research is like in labs without big GPUs.

As Research and Innovation Lead in a growing organisation ,let me share what we do at work.

We broadly do two types of Research.

1.) Project based (Consulting and Grants).

2.) The ones where we geek.

Of course Number 1 has to succeed, for Number 2 let's just be glad we still have jobs when they fail 😜.

As you've probably suspected, the most important decisions isn't first about tools.
After clarity on methodology, the next battle is usually how to implement in context. It's a common thing to hear all about data labelling but we do have an extra layer before that, Data Curation.

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Wuraola Oyewusi

@wuraoyewusi

Dec 19, 2020

In discussions about career choices,I think the role of 'passion' is overrated.

It's true one can't be great at everything but also true that one can be great at a range of things and they may not be related superficially but in principle. #Careers

When People talk about not being passionate about career choices that give a better leverage for their earning potential. I'm stunned, because many times they have not even given it a try.
So how did they figure out they are not passionate about it.🤷🏽‍♀️

It's that time of the year when people decide on what skills to learn or career switches and I'll like to talk about leverage.

So you're artistic,drawing or makeup or tailoring are not the only channels of expression,learn about the principles of design and follow the the money.

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Wuraola Oyewusi

@wuraoyewusi

Feb 22, 2020

Next steps in your #DataScience Education.

Now that you can do basic python programming,set up your environment,know some tools, probably worked with the iris species classification,predicted the Titanic survival rate and you're stuck wondering about the next steps.

The goal of the next step in your #DataScience journey is to understand how decisions about data, algorithms and tools are made.

So I'll suggest the textbook end-to-end work-through where you know what every line does

Textbooks let you follow the thought process of the author

My top three books for this stage are :

Python Data Science Handbook by Jake VanderPlas

Python Machine Learning by Sebastian Raschka.

Hands-On Machine Learning with Scikit-Learn and TensorFlow by Aurelien Geron.

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