Uncovering and correcting misconceptions in on-line information science content material that can assist you study extra successfully
The information science subject is huge and complicated, usually missing clear-cut solutions. Whereas searching 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 elementary 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 prior to now).
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 will probably be structured on this means
Mistake X :
This sentence is incomplete, it must 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…
