Introduction to machine learning with Python: a guide for data scientists
Have you ever thought about how Google translation works? Or, have you ever imagined how your phone camera detects your face ? or how Elon Musk made a self-driving car? Probably yes, but what’s the science behind that? The camera doesn’t have eyes to see. Do cars do ‘t have neither upper nor lower limbs to drive. Isn’t it? Then, what makes these all things to happen on their own? Well, to understand this, let me take you to the 1950s, where a crazy scientist named Arthur Samuelused the phrase ‘ Machine Learning ‘ in 1952. But at that time, it was just a start. A start that never thought to come this way at such a great pace and made the humans so reliant on it. As humans, we have become so dependent on technology that we can’t progress in any form. We can’t stop using the data, which probably contains the secret of success hidden in it. Think of the day when programmers need not do anything on any machines. They need to sit with a buddy with coffee in hand and give instructions to devices and guess what machines will learn on their own from the data they collected in the past.
