Uncovering and correcting misconceptions in on-line knowledge science content material that will help you study extra successfully
The info science area is huge and complicated, usually missing clear-cut solutions. Whereas looking for to resolve doubts and study new ideas on-line, I’ve come throughout quite a few low-quality, error-prone solutions — some surprisingly well-received regardless of basic misunderstandings. To assist others navigate these pitfalls, I’m beginning a collection to share errors present in on-line content material (a few of these could also be errors which I made previously).
On this article, I’ll share 4 such examples, along with a counter-example for every of them to disprove these statements. For Half 1, these examples will centre round primary machine studying and statistics ideas.
The examples can be structured on this method
Mistake X : <Mistaken Assertion><Why is it incorrect>
This sentence is incomplete, it ought to be
“In Linear Regression (LR), one of many assumptions is the goal Y conditional on X should be usually distributed”
To Lets recall the definition of LR — albeit in its easiest type: the goal Y is…