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Information Science
Subculture
A familiar algorithm with a radius of 3 meters, which is neither a mathematical expression nor an implementation, is so easy to understand! Algorithms are essential in programming. They are no different from "Hello World" to machine learning and deep learning as represented by modern AI and IoT. When it comes to learning algorithms, it has always been about how to implement however, when it comes to learning algorithms, it has always been about how to implement algorithms with a good view. This book uses lots of illustrations to explain why algorithms that are called de facto are de facto. But why they cannot be de facto in some cases. It simply explains what the criteria for distinguishing between them are. When it comes to learning algorithms, even those who have an allergic reaction can feel safe to touch one end of the richness that comes out of the door of the deep world. [Contents] Chapter 1 Algorithms for both sides Chapter 2 Sorting, inserting, selecting : sorting Chapter 3 Doing the same procedure over and over multiple times : Recursive Chapter 4 Small and think about it : Quick Sort Chapter 5 Relating to it is fast : Hash Table Chapter 6 Making a graph shows it : Width-first search Chapter 7 Book to Piano exchange Chapter 8 Problems continue : Greedy Method Chapter 9 Drobo Methodically : Dynamic Programming Chapter 10 Classifying and Predicting : k-Nearest Method Chapter 11 What's ahead? Chapter 12 Answer : Aditya Bhargava (Aditya Bahgava) A master of computer science from the University of Chicago, Aditya Bhargava is a software engineer at etsy. com, an online shop for hand-made products.