What are good topics/areas to explore on my own, based on my interests?

How does the Google search algorithm determine the usefulness of a search result?

Do algorithms rely on AI to predict a surface on a video or image?

What happens when an array with a specified size is assigned with values more than the specified size?

Is it necessary to be good at algorithms and its analysis to achieve something good in computer science?

What are the best books on algorithms and data structures?

What is the best algorithm to compute the number of prime numbers?

What algorithm(s) does Amazon use in their recommendation system?

What is a list of universities sorted by number/percent of students who are involved with cryptocurrencies?

What is the regular expression for the string which has both odd numbers of 0s and 1s?

What are some good papers about the performance evaluation of Machine Learning Algorithms in the field of economics or generally in the social sciences?

Can we design a machine learning algorithm to solve competitive programming?

For Google and Facebook interviews, is it important to memorize the sorting algorithms?

How could one find the degree of a node in a random connected graph in C?

Who owns the legal patent rights if there is an invention or discovery made with significant help of any machine learning or deep learning algorithms?

How do I practice implementing machine learning algorithms without a big theoretical/mathematical understanding?

How do we use the First Order Inductive Learner algorithm? Explain with an example.

Which data structure is better in terms of time complexity, a graph or a hash table?

How can we formally (mathematically) define a function that produces the k-th (say lexographically ordered) permutation from a given permutation?

Which of the following scheduling algorithm could result in starvation?