What books/resources do I need to study if I need to be proficient enough to apply and create new algorithms for machine/deep learning?

Today I had my data algorithm exam, and I couldn’t execute the program! Should I feel bad about that?

How do you build a function from two inputs (one list and one number) that returns the smaller number?

What is array? Please explain details.

What is a time delay in a recurrence plot?

What is the latest update in the Google algorithm in February 2017?

What is the algorithm for the tf-idf method based on measuring a trajectory?

The arithmetic mean of 3,6,10 m and n is 9 then what is the average of m+4 and n-2?

What data structure should be used for storing Internet search results?

How do I do approximate substring matching?

Can a shortest path contain a negative weight cycle?

Can every algorithm be implemented by any data structure we use or some data structures do not allow implementing an algorithm at all?

What does “topic-modeling algorithm” mean?

What is a good book for learning about data structures in C++?

How do I implement a Binary Search Tree in C?

Can we find the 5th minimum element from a min-heap in O(1) time?

How do you match the same addresses written in different ways? Example: 45, Srinagar 190001 and 190001, Srinagar, 45.

Given a body of HTML, what ML algorithm can I apply to classify different sections of the text? Recommend any good resources on this subject.

What is an algorithm for maximum and minimum?

How do I find the nth Ulam number fast?