811 views

### Are there any power calculation formulas for ML methods beyond Logistic Regression? [closed]

Are there any power calculation formulas for ML methods (for binary classification) beyond Logistic Regression? (also well beyond the laughable rule of thumb 10 instances per variable) I've done a ...
59 views

### what machine learning isn't statistical? [closed]

If I understand correctly, statistical learning theory is just one approach to machine learning, What machine learning isn't statistical? Based on my very limited understanding, I thought that things ...
39 views

### statistical regression vs machine learning regression [duplicate]

I was trying to understand the difference between statistical regression VS machine learning regression. My background is from Economics and learned regression from statistical point of view for the ...
11k views

### What is the difference between learning and inference?

Machine learning research papers often treat learning and inference as two separate tasks, but it is not quite clear to me what the distinction is. In this book for example they use Bayesian ...
2k views

### What are the practical & interpretation differences between alternatives and logistic regression?

A recent question about alternatives to logistic regression in R yielded a variety of answers including randomForest, gbm, rpart, bayesglm, and generalized additive models. What are the practical and ...
19k views

### What is a data scientist?

Having recently graduated from my PhD program in statistics, I had for the last couple of months began searching for work in the field of statistics. Almost every company I considered had a job ...
152 views

### Confusion on Mean Squared Error for Regression

In common statistical textbooks' linear regression topic, Mean Squared Error is often defined as $$MSE = \dfrac{(y-\hat{y})^T(y-\hat{y})}{n-p} = \dfrac{RSS}{n-p}$$ where the $y$ and $\hat{y}$ is a ...
787 views

### How important is p-value in Machine Learning?

Scikit-Learn doesn't exhibit the p-values for your models. I'm used to look at the p-values - besides a few other factors - when choosing the variables to consider on my final model. However, p-values ...
37k views

### Practical thoughts on explanatory vs. predictive modeling

Back in April, I attended a talk at the UMD Math Department Statistics group seminar series called "To Explain or To Predict?". The talk was given by Prof. Galit Shmueli who teaches at UMD's Smith ...
1k views

### What is the definition of machine learning (vs classical statistics), and can methods such as MCMC and bootstrapping be considered ML? [duplicate]

I'm in the process of writing about the differences between machine learning and classical statistics. I've been looking for some authoritative sources that would give a good, clear, plain-English ...
3k views

### Machine Learning VS Statistical Learning vs Statistics [duplicate]

I have seen posts about the difference between ML and Statistics. And I have also seen posts explaining that Statistical Learning is a statistical approach to ML. But then, this is confusing because ...
501 views

### Kernel Selection [closed]

First, I want to know how to analyze a dataset to discover its pattern. And second, how can I select the best kernel function for classifying a dataset?
200k views

### What is the difference between data mining, statistics, machine learning and AI?

What is the difference between data mining, statistics, machine learning and AI? Would it be accurate to say that they are 4 fields attempting to solve very similar problems but with different ...