What kind of music do the most intelligent people listen to?
Typically smart people listen to music what appeals to their own taste, while stupid people listen to music which appeals to their group of reference. Smart people tend to be individualists while the lesser endowed of the cerebral performance tend to be herd souls.But there is a correlation - not causation - between IQ and musical taste; the higher one’s IQ is, the more he or she prefers complex melodies and lyrics, while the lower it is, the higher preference on rhythm. There is also a weird - really weird - correlation between latitude and musical preference: the closer one’s home is the Equator, the higher the preference of ‘light’ musical styles like reggae, soca or calypso, while the higher the latitude and closer to poles, the higher the preference of ‘dark’ musical styles like heavy metal. Unfortunately, latitude and IQ has also correlation: the average IQ tends to be the lowest on Equator and rise towards both poles, North and South.My own experience is that the most intelligent people tend to prefer classical music and prog metal. The reason is simple: classical music is extremely complex and full of all kinds of melodic and harmonic variations and decorations - and prog metal is today’s classical.Other “heavy” or “hard” styles, such as nerdcore, death metal, hero metal, experimental rock, progressive rock and art rock tend to be also popular amongst the highly intelligent. If someone likes Queen, Dream Theater, Porcupine Tree, David Bowie or Led Zeppelin, he or she is likely to be quite bright.Many highly intelligent are also into jazz, bepop, jazz rock and crossover styles.
How good do you need to be in mathematics and statistics to become a data scientist?
Let me tell you my story. Everyone starts from somewhere. I am a mechanical Engineer. No CS Degree. No formal Math/Stat education. Got a business analyst job. For the first three years did a lot of grunt reporting work including Excel/SQL , Spotfire.Then the opportunity presented itself and my manager asked me to his office:Manager: I want you to Learn some Python.Me: But I have never done programming in my life. Why now?Manager: There is something called Random Forest Algorithm that is getting famous. Since you are the only non PHP/Javascript developer around I thought you might be able to help us (Business Read: Since you are the only one with no work on his hands, why don’t you do something)So I went to google. Read what the algorithm is used for. Just understood a little about the classification problem statement. Got a blog from someone who had implemented it in Python. Copy Pasted his code. Ran on my local machine. And Voila!!! We used that small piece of code to run on a classification dataset for that company and included it in a product. My manager was impressed.At that point of time I didn’t knew any data science. I didn’t knew about Entropy, decision trees, Cross validation etc. etc. To tell you the truth the model I created might had overfitted as hell. I just know that it was a start. And i consider that start very important.From then on I started trying many models to do the same task. I started up with Kaggle. And when I was not able to compete I started reading more. I took many open MOOCs. I learned about new things. I was open to learning new things. I was open to understand new things. And one day I realized that I was able to understand the math behind if I was willing to put effort.I started up with breadth and eventually got into the depth of things.So yes, get your start. Taste the blood. Get your hands dirty. Run the algorithm. Try to improve it by playing with the parameters and reading up on the net. I am sure in the process you will learn a lot about the inner workings of the algorithms. And maybe then some day you will be motivated enough to understand them fully.You can also try taking a few math classes for data science. One such class which I can recommend is Machine Learning | Coursera course which tackles Maths at a very fundamental level.
What is the best way to earn money online in 2018?
I just answered a similar question here. Any here’s basically what I said;The truth is that thousands of beginners to the ‘make money online’ realm often spend countless hours merely wandering around the internet. They do this in search of a legit way to make money online.The sad reality is that many end up in frustration, desperation and persistent uncertainty. Or in being scammed of the little money that they, ideally, were not looking to spend. Or lose.Majority blindly engage and bask in MLM and network marketing, gambling of all forms (betting, binary options, crypto, forex), and other futile endeavors.All this they do in search of ‘free’ or ‘easy’ money. Others in earnest search of an honest pay for honest work done; but even this often proves elusive to the beginner.The alternative other left is the complicated stuff best reserved for the pros; starting a blog, building a freelancing career, a drop-shipping store, a YouTube channel, affiliate marketing, Amazon FBA … that sort of thing.So it becomes a a bit of a dilemma. A rock or a hard place.For me, as for a few majority, it is a dilemma I was lucky to solve.About a year ago, I discovered one of the ‘make money online’ s best kept secrets; online transcription. It was amusing to learn that thousands of beginners silently earned their first legit dollar doing this!The thing about transcription is the certainty and clear-cut processes and steps involved in getting in:Unlike say, programming, web & graphic design or other forms of freelancing that involve standing out from the crowd, with online transcription, if you pass the interview, you get the job!Even more, the industry is particularly keen on hiring beginners from around the world. No specific requisite skills or experience.Online transcription is just one of the genuine ways to make money online. I invite you to give it a try it. And why not?As coincidence would have it, I just finished putting together a step-by-step walk-through on getting started with online transcription in just four detailed steps, including where to find work, tips and all.You can download a free copy of this guide before its official release at the end of this month.Otherwise, I hope to have at least done justice in answering your question and in giving you a bit of insight. With that, all the best mate!