How does it work; and more importantly?

How does it work; and more importantly?

How does it work; and more importantly? Essence of ML and Hoeffding’s inequality. Back in 2017, I was introduced to a cool wor(l)d. The word by itself was very intriguing.

Back in 2017, I was introduced to a cool wor(l)d. The word by itself was very intriguing. I was interested and wanted to know more. So as any normal person would, I opened my web browser and typed “What is Machine Learning?

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And this Venn diagram popped up. Along with other words with a common suffix: supervised learning, unsupervised learning, reinforcement learning, deep learning. This was followed by other words with increasing order of complexity: data, classification, regression, models, clusters, ensembles, support vectors, neural networks, etc, etc, etc.

After spending almost a year to try and understand what all those terms meant, converting the knowledge gained into working codes and employing those codes to solve some real-world problems, something important dawned on me.

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