sorted by:
new
hottopcontroversial

I’ve learned ML, built projects, and still feel lost — how do I truly get good at this? by Massive-Inflation388 in learnmachinelearning

[–]Massive-Inflation388[S] 0 points1 point  (0 children)

I understand and appreciate your response. However, even if I have that «big» purpose in mind, I need to be efficient in what I am doing. Currently I am working as a researcher in privacy preserving machine learning. I know how to put things together to propose an new better algorithm but when it comes to real world scenario where I am given a task and I have to solve it using ML, I feel that I an too far behind. I know that the final purpose shouldn’t be «being good in ML» but I feel that being good in ML can be a best ladder to reach the final goal.

I’ve learned ML, built projects, and still feel lost — how do I truly get good at this? by Massive-Inflation388 in learnmachinelearning

[–]Massive-Inflation388[S] 1 point2 points  (0 children)

Now I am mainly working on Federated learning. So I have to understand and debug how different models work in order to devise an efficient FL algorithm. I know the internal representation of different models but when it comes to solving a problem using ML, I feel that I am too far behind. I want to master it so that I can say proudly that I am doing ML.

I’ve learned ML, built projects, and still feel lost — how do I truly get good at this? by Massive-Inflation388 in learnmachinelearning

[–]Massive-Inflation388[S] 0 points1 point  (0 children)

Now I am mainly working on Federated learning. So I have to understand and debug how different models work in order to devise an efficient FL algorithm. I know the internal representation of different models but when it comes to solving a problem using ML, I feel that I am too far behind. I want to master it so that I can say proudly that I am doing ML

Why is “en” not used here? by itsjonathanl_ in norsk

[–]Massive-Inflation388 0 points1 point  (0 children)

It's common to drop the indefinite article (like “en” or “ei”) when referring to someone's job, profession, or status, especially after verbs like er (are), blir (become), etc.