Aren’t you tired of people telling you that if you want to be a Data Scientist you need to be really good at Math? And then you see somebody you know who is not as good as you in Math/Statistics brag about his Machine Learning skills in Linkedin.

You can learn all the beginner projects that are out there on Machine Learning but when you want to do something on your own you are not able to implement it just because there is no Training Data or You just don’t have a GPU with you? And then eventually you just lost interest in the field as the fire in you just lost its power due to lack of motivation.

We have all been there.

Being stuck sucks. I get it. You need fuel to uplift your motivation levels.

Nothing like that adrenaline you get when you can show the final product to the world born out of your own abstract idea. The intention here is not to give you another beginners tutorial on ‘How to make this and that awesome Machine Learning Model’ but to make you experience the taste of accomplishment.

I promise you that you can build the face mask detection model in less than 5 minutes without a single line of code. Credits to Teachable Machine by Google. But isn’t coding necessary to be called as a Machine Learning Engineer or a Data Scientist?

No, it is more about how you use the data. There is a reason why it is called as ‘Data Science’ but not ‘Coding Science’.

#computer-vision #ai #data-science #artificial-intelligence #machine-learning