It is a legitimate question.
How much better?
This is a great point about making sensible assumptions. Too often I see evidence that people think that data analysis should be devoid of assumptions, and any assumptions completely invalidate the analysis. In reality,…
Why should we expect there isn't a correlation? They do mention it in their analysis. At the end of the day, just because there might be a systematic bias in your result doesn't mean there is a systematic bias. All…
It is always easy to criticize a data-driven analysis by saying its assumptions could be wrong. In the real world, all analysis is based on assumptions, some of which you can always claim might not be correct. But you…
The main thing I want from job descriptions is a salary range. The fact that companies don't post salaries is a strong counter-point to how companies complain about how hard it is to hire software engineers.
The problem is that the term data analyst has come to mean data reporter. Similarly "business analyst" generally involves tasks that are best solved in Excel. The "science" in data science is about testing predictions.…
You don't have to be productive all the time. It is important to have some time to relax and have fun. There are far worse things you could be doing than playing too many video games. You can try replacing video games…
The explanation glosses over a few important details. Gradient boosting works by adding some small weight to the instances the model is incorrectly predicting. The amount of extra weight these instances get is a…
Feature engineering and model ensembling are usually what separates the top competitors.
Hand counting of votes seems like a no-brainer, regardless of whether there was a conspiracy this election.
This statement is too general. You could of said the same thing about chess, there are chess Grandmasters who devote their lives to studying the game yet computers play chess at a much higher level than any human.
I would say that table is really quite valuable. Kaggle problems come from all types of companies, so it doesn't make sense to say that it is "overfitted patterns that he's adopted in his own realm". With that said,…
For image competitions you are right. Neural networks are often in winning teams ensembles, but they require a lot more work than something like xgboost (gradient-boosted decision trees). For a dataset that isn't image…
1) It depends heavily on the model. Something like xgboost (gradient boosted decision tree) will handle irrelevant features fairly well, while other models (like linear models, especially without lasso regularization)…
There is no way machine learning will be a necessary skill for software engineering, if that is your motivation I would not spend time learning it. However, if you still want to learn it you should first study…
My advice is Python, but it depends on what your background is and what you want to do. If this is your first language and you have a stats background, R is a solid choice. If you already know another language, R has a…
Interesting. After watching the show Billions, and reading up on how much money hedge fund managers make on fees (seems totally ridiculous), I wonder how common is illegal insider trading for hedge funds? No matter how…
I agree completely. I also think there is way more luck involved than people want to admit - a lot interesting results are unexpected, and there are so few jobs the timing has to work out for you. I have known plenty of…
If you just want ROI, you are better off spending your money elsewhere. This is evidenced by the lack of money most companies put into scientific research. Further the gains of science are in general hard to profit off…
The problem is that there are plenty of graduate students willing to work for peanuts.
The goal of research (at least for basic science) isn't to make money, it is to increase knowledge about the universe. This knowledge is a public good, so it makes sense that private industries motivated by profit do…
I can confirm that this idea is pervasive in physics (both experimental and theoretical)
That has to be one of the worst abstracts I've ever read. I have no idea whether or not black people tip less having read the abstract.
The some stereotypes are based in reality comment was meant to indicate that the fact is there are real differences between the average behaviors of different groups of people. So when shown clear evidence that groups…
It is a legitimate question.
How much better?
This is a great point about making sensible assumptions. Too often I see evidence that people think that data analysis should be devoid of assumptions, and any assumptions completely invalidate the analysis. In reality,…
Why should we expect there isn't a correlation? They do mention it in their analysis. At the end of the day, just because there might be a systematic bias in your result doesn't mean there is a systematic bias. All…
It is always easy to criticize a data-driven analysis by saying its assumptions could be wrong. In the real world, all analysis is based on assumptions, some of which you can always claim might not be correct. But you…
The main thing I want from job descriptions is a salary range. The fact that companies don't post salaries is a strong counter-point to how companies complain about how hard it is to hire software engineers.
The problem is that the term data analyst has come to mean data reporter. Similarly "business analyst" generally involves tasks that are best solved in Excel. The "science" in data science is about testing predictions.…
You don't have to be productive all the time. It is important to have some time to relax and have fun. There are far worse things you could be doing than playing too many video games. You can try replacing video games…
The explanation glosses over a few important details. Gradient boosting works by adding some small weight to the instances the model is incorrectly predicting. The amount of extra weight these instances get is a…
Feature engineering and model ensembling are usually what separates the top competitors.
Hand counting of votes seems like a no-brainer, regardless of whether there was a conspiracy this election.
This statement is too general. You could of said the same thing about chess, there are chess Grandmasters who devote their lives to studying the game yet computers play chess at a much higher level than any human.
I would say that table is really quite valuable. Kaggle problems come from all types of companies, so it doesn't make sense to say that it is "overfitted patterns that he's adopted in his own realm". With that said,…
For image competitions you are right. Neural networks are often in winning teams ensembles, but they require a lot more work than something like xgboost (gradient-boosted decision trees). For a dataset that isn't image…
1) It depends heavily on the model. Something like xgboost (gradient boosted decision tree) will handle irrelevant features fairly well, while other models (like linear models, especially without lasso regularization)…
There is no way machine learning will be a necessary skill for software engineering, if that is your motivation I would not spend time learning it. However, if you still want to learn it you should first study…
My advice is Python, but it depends on what your background is and what you want to do. If this is your first language and you have a stats background, R is a solid choice. If you already know another language, R has a…
Interesting. After watching the show Billions, and reading up on how much money hedge fund managers make on fees (seems totally ridiculous), I wonder how common is illegal insider trading for hedge funds? No matter how…
I agree completely. I also think there is way more luck involved than people want to admit - a lot interesting results are unexpected, and there are so few jobs the timing has to work out for you. I have known plenty of…
If you just want ROI, you are better off spending your money elsewhere. This is evidenced by the lack of money most companies put into scientific research. Further the gains of science are in general hard to profit off…
The problem is that there are plenty of graduate students willing to work for peanuts.
The goal of research (at least for basic science) isn't to make money, it is to increase knowledge about the universe. This knowledge is a public good, so it makes sense that private industries motivated by profit do…
I can confirm that this idea is pervasive in physics (both experimental and theoretical)
That has to be one of the worst abstracts I've ever read. I have no idea whether or not black people tip less having read the abstract.
The some stereotypes are based in reality comment was meant to indicate that the fact is there are real differences between the average behaviors of different groups of people. So when shown clear evidence that groups…