Questions

Top Questions	Interest	Recency of Interest
Neural network	42	September 28, 2024
What does observability mean in terms of machine learning	22	September 28, 2024
Why do we do feature importance	14	September 26, 2024
What common techniques are used to determine if a Gen AI is good	13	September 26, 2024

Unanswered

Question	Interest
What is a transformer and how do they work	10
Why use isolation forest (Random Forests) for outliers detection	6
What is Sarsa in terms of single agent reinforcement learning	6
How does backpropagation work	5
How do multi-agents interact in reinforcement learning	4
Why do we do feature importance	2
How does backpropagation work	2
For other classifiers is there a similar process like regularisation in linear regression	0
How can machine learning models be made more interpretable to non-technical stakeholders
How can we ensure that models generalize well to new, unseen data, especially in dynamic environments
What techniques can help models remain robust to noisy data
How can data science tools and models be better integrated into decision-making processes in businesses
Why is LSTM worse then using transformers
How do transformer models represent and manipulate mathematical structures to solve problems accurately?
Current challenges within the energy sector, related to reinforcement learning and that can be progressed with recent technological advances
Current challenges withing the telecommunications sector, related to reinforcement learning
What techniques from information theory can be used to measure and optimize the amount of information conveyed by an AI model
What current methods are being used to improve interpretability on AI models
How do AI system provide formal mathematical models/frameworks to questions

Dataview

I have tagged new questions in generating notes, they will appear at the bottom of this.

TABLE
    round(length(file.inlinks) * 2 +
          length(file.outlinks) +
          length(tags) + 
          min(round(file.size / 100, 2), 5)) AS "Interest Score",
    recency_of_interest AS "Recency of Interest"
    // filter(file.tags, (tag) => !contains(tag, "question")) AS "Tags"
FROM ""
WHERE contains(tags, "question")
SORT round(length(file.inlinks) * 2 +
          length(file.outlinks) +
          length(tags) + 
          min(round(file.size / 100, 2), 5)) DESC

Drafting questions

What does the Logistic Regression graph tell us, specifically the results?

How to use Sklearn Pipiline? Give an example with an interesting dataset.

How do you know if a Classification has been overfitting? For example with Random Forests A: You can use Cross validation