Are algorithm questions solvable in GATE?

What are the preferred algorithms and programming models in industry?

What are some practical applications of quicksort?

If I only practice machine learning and data mining algorithms, it seems I would fail to answer on-campus Data Structure & Algorithms questions?

What is asymptotic analysis?

Does there exist an algorithm for determining if a regular language L on some alphabet {a, b} contains any string of even length?

When will image-detection algorithms be able to filter out offensive images reliably?

If a set P has 20 elements, then what is the number of subsets of P that contain an odd number of elements?

How important is Data Structures and Algorithms for a web developer who most often works on JavaScript?

Do machine learning algorithms give practically useful results for predicting financial time series data such as stock prices? If no, why not?

In Dijkstra, would using a visited array to avoid entering closed nodes again lead to better performance?

How do I implement the RSA algorithm by using the VHDL platform (need the booths multiplication for 32-bit inside and test bench too)?

How many data points are required for structured learning of binary vector output?

How many fingerprints can be compared per hour via algorithms?

What books or resources should I read to start developing investment algorithms?

Is a string a palindrome?

In jQuery, how can I slice an array and stored that sliced part on another array?

How can we implement byzantine fault tolerance in a PC?

Why do we take time and space complexity and other things in data analysis and algorithm?

Is learning algorithms and data structures very important for computer science and programming?