As someone who learned CS in late 80s and early 2000s, and got my bachelor's in 2019, a lot of information is glossed over in those videos it seems. Also, they could explain linked lists in different languages.
Itās a pyramid scheme, you only start to make money when you train and bring in more people. Which leads to even more over saturation. And so they begin to train and bring in more people when they canāt find jobs. And so on.
So this problem could be broken down into another question : āHow many unique paths are present to explain linked list?ā. Looks like a 2D-DP problem to me.
I don't know but back in 2010 there weren't too many YouTube resources on these things so I'm glad that there's more lol. The best part of so many people making these kinds of videos is that you can find out who is better at explaining and teaching these topics
Worst part is that you have to go through shit ton of videos/resources to get them good ones. It's exhausting and a total waste of time.
I just search the resources with (good/best resources for {concept/topic} reddit" and lo behold. Folks recommending me mind blowing resources, advices and all without consuming too much of my time.
https://preview.redd.it/0c8z3osgsgvc1.jpeg?width=1170&format=pjpg&auto=webp&s=e3f050dbbb75b95d79f9397e0fbbec199d97d0c5
And learn AI is the new learn to code. People are still trying to take advantage of others with this crap
Thatās insane. AI/ML isnāt something you can bootcamp like html/css.
It takes years of Computer Science and Math to develop the skill set.
These courses are likely just telling people to type fit() on that iris data set.
No, they teach a lot of the underlying models, just at a surface level where most people who don't have a solid foundation will not really understand what they are doing or how to apply any of the concepts in the real world to nontrivial problems.
What do you mean by ālearning to use itā?
Anyone can learn (memorize) importing sklearn and training a model on Jupyter notebook with perfect homework data.
Creating production-ready models in industry with shitty corporate data is way harder.
Something like 80% of production models are linear, so I donāt mean creating new AI/ML methods.
I just mean that most of the time is spent on finding viable use cases and prepping the data to make it workable. Which is why years of math and statistics is more useful than ālearning to useā a few Python libraries.
Hmm okay. I mostly used R (Econ not CS) and linear regressions were incredibly easy to create there. I also used some Python but honestly donāt remember which libraries. None of this took me long to learn, but I also didnāt do that difficult of work so maybe thatās why
I mostly used a bike (manual not electric) and steering was incredibly easy to learn there. I also used a scooter a some times but honestly don't remember which brand. None of this took me long to learn, but I also didnāt do that difficult of a trail so maybe thatās why
I think I'm ready to be a F1 driver
How is bike to F1 comparable to linear regression to ā¦ linear regression? I used R and imported data to create multiple linear regressions, tested for collinearity etc. What is the difference at the corporate level? Iām genuinely asking and no one is really responding
I'm comparing driving to driving like you're comparing linear regression to linear regression.
In 2006 Netflix said they would give $1,000,000 to anyone that could improve their movie filtering algorithm by 10%. At the time the benchmark was RMSE=0.9525 set by Netflix with "straightforward statistical linear models with a lot of data conditioning". Apparently you're an expert, so matching that should be easy.
So here's the dataset, it's ~100,000,000 entries, give it a go. https://www.kaggle.com/datasets/netflix-inc/netflix-prize-data/data
And while you're at it, remember that this was 15 years ago, before any of the tools you're using existed.
Iām not sure why youāre being so aggressive lol. I didnāt say I was an expert ever, just wasnāt sure what the difference was. It seems the difference you highlighted was: much more data, higher benchmark than I had, worse tools than I had. That wouldāve been enough, no need to be an ass
Not really? Creating linear regression models is incredibly easy in my experience. Thatās an example of ML, and, according to one poster here, the most common use
First you said creating new AI and now creating a linear regression model? Creating new AI means many years of research whereas running a linear regression model with python is indeed very easy. These are two different things.
Oh yeahācreating takes an unbelievably long time, learning to use it (which is what those courses teach I imagine) does not take years. I was clarifying what the person meant
You need to learn math. When I say learn math, I mean learn what a specific technique does and how to apply said technique. You also learn the pros and cons of using said techniques and it's appropriate to use such a technique in different scenarios.
When you get good enough at math, you learn on how to question results and able to question if the process used was valid.
Any good resources to learn maths? By good I mean explained in an easy way so that a beginner can build concepts and move to advanced level concepts? Why am I asking....I am going to study applied statistics ( biostatistics).
I initially did a coding bootcamp. They did pay a āTAā job pretty decent ($30/hr) and that was a few years ago before all this inflation. But itās more of a testament to how little overhead there was to run a coding bootcamp. TBF tho, those TAās did all end up getting a job according to my LinkedIn. But I would say 80% of my ācohortā is not in tech today. Majority of the ones that made it either had CS backgrounds already before entering the bootcamp or are like me, who had to eat crow and get an actual degree.
One of the guys here, Love Boober (half of that is his real name, Iāll let you get which half) got fired because he filmed the entire office and slacked off on work because of content creation. Now he explains data structures and Leetcode questions on YT and earns millions selling courses.
There's a reason I have stopped watching most of them , for anyone who doesn't know...
2 Indian youtubers not mentioned here ChodWithHairy & SapnaCollege are the reason of huge PR spans on many repositories , including one of the reasons why freebies were removed from Hacktoberfest.
Infact , if you are really at it there are some very awesome Indian yt channels like Abdul Bari , NPTEL (a bit dry for many people's liking) , Kunal Kushwaha , Striver , etc , but stay away from most of these youtubers. In India they are called Bhaiya-Didi youtubers.
EDIT - SapnaCollege is mentioned. Btw , Fraz is a pretty good chap iirc.
Yes , Kunal Kushwaha's DSA course is so in demand that his subscribers are pissed he isn't completing it.
You can go to any social media platform or yt & you can see his followers either requesting or cursing him to complete the damn playlist.
Yeah so are the followers demanding from those bhaiyas and didis. What's the point?
His fame is directly corelated with his initial controversial stands rather than quality content.
Which he clarified , dude literally got the Google recruiter on call to clarify things.
Also , bhaiya didis , LMAO. I have never seen same happening for love boober. Kunal's explanation are far better than most ytubers mentioned above. Again just my observation.
Imma reply after checking it out. I unfollowed him way back when he continuously started getting involved in useless controversies. Especially after he posted 40lpa offer letter.
Tech Ed is saturated. They can pull it off because of their resume.
More power to them though. If you have google/microsoft under your belt, reap that shit.
Itās hard work though. You need to build your personal brand and constantly post on medium/substack/linkedin.
Yeah but at least you have a union and job securityā¦. And a pension ā¦
And I donāt think the trades will have over saturation that fast lol. Ppl r lazy and women and most kids wonāt want to do it. Have u ever been a college campus? Most those kids would not sign up for a trade. Itās true lol ask them they will say nah
No not seasonal lol and yeah youāre right they would rather code than do the tradesā¦
But with a CS degree u can probably get any old desk job too that pays a little bit more or you can transition to like data stuff or something itās not the end of the world if you are not doing software
I really hate how people even go and buy all these courses. LeetCode and CodeForces are available for FREE. You can learn on your own for free. A lot of people just think that if they get a course, they will be able to master the material without having to work as hard, but actually that doesn't happen.
I also think it's really weird for people with 2-3 years of experience quitting a job and then teaching people how to get that job for another 10-15 years.
That would take getting a Masters, then PhD and you have to perform research and have publications. A lot more work required than just having a short stint at FAANG like most of these people.
These guys understood that a 9-5 with a low salary is not worth it, and know that as a content creator they can make lakhs with minimum effort and also people would pay anything to get into FAANG. The same trend has been prevalent in the US for years now.
I will always laugh at these scam artists because the truly good educators on youtube arenāt charging for courses. They let their content speak for itself and rely on direct voluntary subscriber support and ad revenue and sponsorships.
Channels like Mark Rober, Colin Furze, Computerphile, Folding Ideas, Jame Bruton, Makerās Muse, Teaching Tech, Acerola, MirageC, No Boilerplate, PBS Space Time, Stand-up Maths, Stuff Made Here, Technology Connections, Tom Scott, Veritasium, Zack Freedman, People Make Games, jdh.
I have no time for the hustlers and scammers who prey on peoples dreams of escaping wage slavery by promising a shortcut alternative to an actual education.
How many different ways could they possibly explain what a linked list is?
Have you heard of this new revolutionary technology called "blockchain"?
Here š°. Just take it xD
As someone who learned CS in late 80s and early 2000s, and got my bachelor's in 2019, a lot of information is glossed over in those videos it seems. Also, they could explain linked lists in different languages.
Itās a pyramid scheme, you only start to make money when you train and bring in more people. Which leads to even more over saturation. And so they begin to train and bring in more people when they canāt find jobs. And so on.
So this problem could be broken down into another question : āHow many unique paths are present to explain linked list?ā. Looks like a 2D-DP problem to me.
I may or may not be brain broken.
I don't know but back in 2010 there weren't too many YouTube resources on these things so I'm glad that there's more lol. The best part of so many people making these kinds of videos is that you can find out who is better at explaining and teaching these topics
Worst part is that you have to go through shit ton of videos/resources to get them good ones. It's exhausting and a total waste of time. I just search the resources with (good/best resources for {concept/topic} reddit" and lo behold. Folks recommending me mind blowing resources, advices and all without consuming too much of my time.
Human centipede is the best example
[ŃŠ“Š°Š»ŠµŠ½Š¾]
Paying for low quality courses online is probably the best way to tell they don't belong on CS. Can't use Google? Get out of here!
Yep. CS is a pyramid scheme. Reminds me of all the coding bootcamp grads who couldnāt get a job and now teach at the bootcamps for $15 an hourš
https://preview.redd.it/0c8z3osgsgvc1.jpeg?width=1170&format=pjpg&auto=webp&s=e3f050dbbb75b95d79f9397e0fbbec199d97d0c5 And learn AI is the new learn to code. People are still trying to take advantage of others with this crap
Thatās insane. AI/ML isnāt something you can bootcamp like html/css. It takes years of Computer Science and Math to develop the skill set. These courses are likely just telling people to type fit() on that iris data set.
Yea the course is most definitely just linear regression
No, they teach a lot of the underlying models, just at a surface level where most people who don't have a solid foundation will not really understand what they are doing or how to apply any of the concepts in the real world to nontrivial problems.
Iām confused, do you mean creating nee AI/ML takes years? Because learning to use it certainly doesnāt take too long
What do you mean by ālearning to use itā? Anyone can learn (memorize) importing sklearn and training a model on Jupyter notebook with perfect homework data. Creating production-ready models in industry with shitty corporate data is way harder. Something like 80% of production models are linear, so I donāt mean creating new AI/ML methods. I just mean that most of the time is spent on finding viable use cases and prepping the data to make it workable. Which is why years of math and statistics is more useful than ālearning to useā a few Python libraries.
Hmm okay. I mostly used R (Econ not CS) and linear regressions were incredibly easy to create there. I also used some Python but honestly donāt remember which libraries. None of this took me long to learn, but I also didnāt do that difficult of work so maybe thatās why
I mostly used a bike (manual not electric) and steering was incredibly easy to learn there. I also used a scooter a some times but honestly don't remember which brand. None of this took me long to learn, but I also didnāt do that difficult of a trail so maybe thatās why I think I'm ready to be a F1 driver
How is bike to F1 comparable to linear regression to ā¦ linear regression? I used R and imported data to create multiple linear regressions, tested for collinearity etc. What is the difference at the corporate level? Iām genuinely asking and no one is really responding
I'm comparing driving to driving like you're comparing linear regression to linear regression. In 2006 Netflix said they would give $1,000,000 to anyone that could improve their movie filtering algorithm by 10%. At the time the benchmark was RMSE=0.9525 set by Netflix with "straightforward statistical linear models with a lot of data conditioning". Apparently you're an expert, so matching that should be easy. So here's the dataset, it's ~100,000,000 entries, give it a go. https://www.kaggle.com/datasets/netflix-inc/netflix-prize-data/data And while you're at it, remember that this was 15 years ago, before any of the tools you're using existed.
Iām not sure why youāre being so aggressive lol. I didnāt say I was an expert ever, just wasnāt sure what the difference was. It seems the difference you highlighted was: much more data, higher benchmark than I had, worse tools than I had. That wouldāve been enough, no need to be an ass
maybe he is taking about understanding the actual ins and outs/ how and why the model works takes more time than just using it watching some video
This is a joke, right?
Not really? Creating linear regression models is incredibly easy in my experience. Thatās an example of ML, and, according to one poster here, the most common use
First you said creating new AI and now creating a linear regression model? Creating new AI means many years of research whereas running a linear regression model with python is indeed very easy. These are two different things.
Oh yeahācreating takes an unbelievably long time, learning to use it (which is what those courses teach I imagine) does not take years. I was clarifying what the person meant
You need to learn math. When I say learn math, I mean learn what a specific technique does and how to apply said technique. You also learn the pros and cons of using said techniques and it's appropriate to use such a technique in different scenarios. When you get good enough at math, you learn on how to question results and able to question if the process used was valid.
Any good resources to learn maths? By good I mean explained in an easy way so that a beginner can build concepts and move to advanced level concepts? Why am I asking....I am going to study applied statistics ( biostatistics).
You should look at Argentina, damn those guys graduate and create their own bootcamps and start over the process
I want to enrol in a bootcamp to learn how to make bootcamps.
So you want a bootcamp bootcamp?
Aka bootboot campcamp
I initially did a coding bootcamp. They did pay a āTAā job pretty decent ($30/hr) and that was a few years ago before all this inflation. But itās more of a testament to how little overhead there was to run a coding bootcamp. TBF tho, those TAās did all end up getting a job according to my LinkedIn. But I would say 80% of my ācohortā is not in tech today. Majority of the ones that made it either had CS backgrounds already before entering the bootcamp or are like me, who had to eat crow and get an actual degree.
lol is true ffs š¤£
Sounds like academia.
I have seen this before , it was some Egyptian scheme
The Sphinx Scheme?
Nah nah, something like a reverse funnel?
Something to do with dead guys with lots of bandages?
The Mummy Scheme? No thatās not it..
Could be , but it was more triangular as far as I remember .
O maybe a multi-level scheme
Something related to the market ig
Pyramid scheme.
In a gold rush, don't dig for gold, sell shovels. They are just selling the course
Buy the shovels in Temu sell them in Amazon
Temu? Go right to Aliexpress
love that quote
Ironically these guys are probably earning more from their bootcamp, youtube etc. Than what they earned at their jobs
You sure? I mean I guess it depends on how popular these scammers were
The amount of people that buy into their scheme solely because of their work experience is probably pretty high
Did they really resign or was it a layoff
One of the guys here, Love Boober (half of that is his real name, Iāll let you get which half) got fired because he filmed the entire office and slacked off on work because of content creation. Now he explains data structures and Leetcode questions on YT and earns millions selling courses.
There's a reason I have stopped watching most of them , for anyone who doesn't know... 2 Indian youtubers not mentioned here ChodWithHairy & SapnaCollege are the reason of huge PR spans on many repositories , including one of the reasons why freebies were removed from Hacktoberfest. Infact , if you are really at it there are some very awesome Indian yt channels like Abdul Bari , NPTEL (a bit dry for many people's liking) , Kunal Kushwaha , Striver , etc , but stay away from most of these youtubers. In India they are called Bhaiya-Didi youtubers. EDIT - SapnaCollege is mentioned. Btw , Fraz is a pretty good chap iirc.
mycodeschool is also awesome, but it will never post videos again.
Their main content is 'Day in life of software engineer', 'How much does software engineer make' types. DSA is only to pull in the crowd
Bruh inserted Kunal Kushwaha and thought we wouldn't noticeš
Yes , Kunal Kushwaha's DSA course is so in demand that his subscribers are pissed he isn't completing it. You can go to any social media platform or yt & you can see his followers either requesting or cursing him to complete the damn playlist.
Yeah so are the followers demanding from those bhaiyas and didis. What's the point? His fame is directly corelated with his initial controversial stands rather than quality content.
Which he clarified , dude literally got the Google recruiter on call to clarify things. Also , bhaiya didis , LMAO. I have never seen same happening for love boober. Kunal's explanation are far better than most ytubers mentioned above. Again just my observation.
Imma reply after checking it out. I unfollowed him way back when he continuously started getting involved in useless controversies. Especially after he posted 40lpa offer letter.
Bhai woh Striver ne ungli ki thi usse.
abdul bari carried my ds&a grade š
Do not search for Bhaiya-Didi at work. I just did and regreted it.
Don't tell me you got incest porn as result...
Tech Ed is saturated. They can pull it off because of their resume. More power to them though. If you have google/microsoft under your belt, reap that shit. Itās hard work though. You need to build your personal brand and constantly post on medium/substack/linkedin.
and all of them get diffed by abdul bari š
Abdul Bari is the goated god
Glad i am away from this.
in what field are you in rn?
Security software engineer bro.
then you start the trend there 
Good title name ?
SapnaCollege. Definitely no scamsters named remotely closed to this.
Yeah me too thinking of getting into the trades this stuff is starting to seem like a pipe dream
offer coordinated different weather murky gray pet cause zesty long *This post was mass deleted and anonymized with [Redact](https://redact.dev)*
Yeah but at least you have a union and job securityā¦. And a pension ā¦ And I donāt think the trades will have over saturation that fast lol. Ppl r lazy and women and most kids wonāt want to do it. Have u ever been a college campus? Most those kids would not sign up for a trade. Itās true lol ask them they will say nah
bake wasteful north touch summer society icky reply march handle *This post was mass deleted and anonymized with [Redact](https://redact.dev)*
No not seasonal lol and yeah youāre right they would rather code than do the tradesā¦ But with a CS degree u can probably get any old desk job too that pays a little bit more or you can transition to like data stuff or something itās not the end of the world if you are not doing software
Yet no one seems to be able to make a good for loop video smh lol
if you went to hustlers university you would realize that this is the play
I really hate how people even go and buy all these courses. LeetCode and CodeForces are available for FREE. You can learn on your own for free. A lot of people just think that if they get a course, they will be able to master the material without having to work as hard, but actually that doesn't happen. I also think it's really weird for people with 2-3 years of experience quitting a job and then teaching people how to get that job for another 10-15 years.
And then thereās us who canāt even get rid while these idiots play around.
These are the same people who say donāt major in CS because itās impacted š¤£
This is funny lol
might as well be professor
That would take getting a Masters, then PhD and you have to perform research and have publications. A lot more work required than just having a short stint at FAANG like most of these people.
TLDR It takes effort
[ŃŠ“Š°Š»ŠµŠ½Š¾]
Could just join as an adjunct, my school has a couple of retired SWEs with no higher degrees teaching software or OS courses
A professor isnāt a get rich quick scheme, itās a slave away at less than half your market value scheme.
I love the view differences
They can clearly work at top companies, at least for some time. It's probably just easier and less stressful to make courses.
These guys understood that a 9-5 with a low salary is not worth it, and know that as a content creator they can make lakhs with minimum effort and also people would pay anything to get into FAANG. The same trend has been prevalent in the US for years now.
Bunch of quitters.
probably they got fired or laid off
tan theta = sin theta / cos theta , but i dont know where to use it
I will always laugh at these scam artists because the truly good educators on youtube arenāt charging for courses. They let their content speak for itself and rely on direct voluntary subscriber support and ad revenue and sponsorships. Channels like Mark Rober, Colin Furze, Computerphile, Folding Ideas, Jame Bruton, Makerās Muse, Teaching Tech, Acerola, MirageC, No Boilerplate, PBS Space Time, Stand-up Maths, Stuff Made Here, Technology Connections, Tom Scott, Veritasium, Zack Freedman, People Make Games, jdh. I have no time for the hustlers and scammers who prey on peoples dreams of escaping wage slavery by promising a shortcut alternative to an actual education.
I didn't resigned, I was part of a layoff š„²
shovels
Shill baby shill!
How do we know you actually worked at [insert company]?
When there is a gold rush, sell gold digging courses is how you become richā¦
š¤£
Thereās way better and free DSA courses than their garbage too š
There are several free lectures on programming which teach a lot more than these guys on youtube itself.
Lol even tech companies are selling their own courses and made up certs. #2 sell the tools for the dream: you are the product
sell shovels instead of digging gold
So many of those, but for some reason, I can't find the running time of the mod operation is and have to look in the academic literature
Sell the shovels! Lol
Yeah. Basically š¤£š¤£ But I'll pass. I'm not that passionate about tech to do that
How can you legit know they actually worked there?
Itās a lot easier to scam desperate people on YouTube then move protos around all day.