Uncovering and correcting misconceptions in on-line information science content material that will help you be taught extra successfully
The information science area is huge and complicated, usually missing clear-cut solutions. Whereas looking for to resolve doubts and be taught 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 sequence 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 shall be structured on this method
Mistake X :
This sentence is incomplete, it must be
“In Linear Regression (LR), one of many assumptions is the goal Y conditional on X have to be usually distributed”
To Lets recall the definition of LR — albeit in its easiest kind: the goal Y is…
