Statistics is pretty nice and smooth until we come across “Inferential Statistics” because of so many things happening there. I must say, it stands right for its name as using it is “Inferential”as well!
And with all of it, come the several Statistical Tests we conduct when we formulate a Statistical Hypothesis! It seems a boring step while working on a Data Science project but is relevant for what it stands as it speaks about how good you’re going using the sample, to know the whole Population. Et Voila!
Before jumping in directly into the tests, let’s know some Introductory…
As we know the Naive Bayes theorem as a Machine Learning Classifier Model, it’s derived from the Bayes Theorem which states that:
As complex as it looks, simpler it gets. The Bayes Theorem suggests that we can find the probability that event A occurs based on evidence that B has already occurred.
Now before turning on to how to find it, let’s brief up about which one is evidence and which one is a hypothesis:
A here is a Hypothesis because it’s the proposed probability of A on the basis of Evidence.
B is the Evidence because the event has…
We’ve all heard about the qualities of Sound from high school days and if you’re a fan of Audio Signal Processing, you’d probably be aware of this concept. Still, I feel like putting some light on this.
A Little Background
Now, to distinguish two different sounds, we know basic terms, the loudness, intensity and Pitch of the sound waves. Yet interestingly, although these qualities describe sounds in a few terms, be it descriptive or quantitative but still fail to say that a piano and violin played at same pitch and same loudness are different!?
And then, this weirdly complex term…
In the current dynamically upgrading Markets, it is of utter importance to maintain the rate of growth in the clients and customers to keep a product alive. The need for a Sales Process was realized as the product sales declined and the old ways didn’t just count right! 😥
A Learner who dives in different topics