Rwiddhi Chakraborty explains that machine learning isn’t a topic you pick up overnight:
Of course you could write a Hello World program in C++ in 24 hours, or a program to find the area of a circle in 24 hours, but that’s not the point. Do you grasp object oriented programming as a paradigm? Do you understand the use cases of namespaces and templates? Do you know your way around the famed STL? If you do, you certainly didn’t learn all this in a week, or even a month. It took you a considerable amount of time. And the more you learned, the more you realised that the abyss is deeper than it looks from the cliff.
I’ve found a similar situation in the current atmosphere surrounding Machine Learning, Deep Learning, and Artificial Intelligence as a whole. Feeding the hype, thousands of blogs, articles, and courses have popped up everywhere. Thousands of them have the same kind of headlines — “Machine Learning in 7 lines of code”, “Machine Learning in 10 days”, etc. This has, in turn led people on Quora to ask questions like “How do I learn Machine Learning in 30 days?”. The short answer is, “You can’t. No one can. And no expert (or even one comfortable with its ins and outs) did.”
This is a good antidote to the “I read a blog post and now I’m an expert” mentality which is particularly pernicious.