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Seven Life Lessons from Machine Learning
Who would have thought that I would be learning something more than machines and neural networks when I started my learning journey of Machine Learning?
I have been learning Machine Learning for almost a year now. Though I am nowhere near an expert, I gained some insights along the learning journey. Like other studies, there are things you gain other than the subject matter of the study. They might be regarded as just byproducts of learning, but I often find that these ‘byproducts’ are often more useful and long-lasting than the subject matter itself. This is understandable because what is hot today might become ‘uncool’ tomorrow but you still need to live the rest of your life. Your life is more important than learning the latest technology. Without further ado, here are seven life lessons I found in my study of Machine Learning.
1. Garbage in, garbage out.
The phrase “Garbage in, garbage out” is probably familiar even to ordinary people who never studied Machine Learning. If you feed in bad quality data, your model performance will be bad. Pretty simple, isn’t it? It highlights the importance of quality data in AI development. For this reason, a general consensus is that up to 80% of AI development is spent in collecting and processing data[1]. While we believe the common sense that bad data leads to bad…
