Can we use machine learning algorithms (like GB, RF and DTetc) to do data matching in master data management, or are they specific to stats analysis?

Which algorithm is recommended for open/close eye detection to implement in a real-time embedded system for driver vigilance?

How do I understand iterative inorder tree traversal, and how do I prove its correctness?

If I can’t solve algorithms problems in the technical interview, how should I fail the interview in a great way?

How do I check whether a number is a twisted prime or not using loop?

Is it better for someone who is learning programming to focus on algorithms or more practical aspects of software engineering?

​What is the best algorithm for professional football predictions?

What are distributed data structures?

How do I write Montgomery algorithm?

Will using an insertion sort of 50 elements have the same running time as using an insertion sort of 10 elements 5 times?

How can I sort a HashMap according to value?

What are some clustering algorithms for clustering Twitter data?

What types of problems can be solved using algorithms?

What is the complexity of accessing a object in Hashset O(1)?

Why isn’t Introduction to Algorithms by TH Cormen, Leiserson, Rivest, and Stein printed topic-wise in multiple parts?

Where should I study trees (in data structures) from?

What are some machine learning algorithms that require more regularization than others?

How can you write a fake review without being caught by a spam algorithm?

What are some resources for learning graph algorithms proofs that are rigorous yet are “easy to follow”?

What are some examples /use cases of combining data mining techniques with machine learning algorithms?