Is there a good source to help me understand algorithms and DS?

What does the arc consistency algorithm (AC3) do?

Does it make sense to jump straight into support vector machines instead of trying out with other linear algorithms, first, in machine learning?

In which sequence data structure, algorithm and discrete mathematics should be learn?

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?

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 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?

What’s a fast sorting algorithm for sorting a small number of floating point numbers?