Coursera – Algorithms Specialization 2021-2

Description

Algorithms Specialization is the name of a training set for thinking similar to a computer scientist, and with the help of this course, you will gain skills in the basic principles of designing and analyzing algorithms. Algorithms are the heart of computer science, and it has countless practical applications. This course set provides an introduction to algorithms for learners with little experience in programming. Although this course is relatively difficult, it emphasizes the general and conceptual overview of your understanding of low and partial math implementation. At the end of this course you will reach a level where you excel in technical interviews and talk algorithms psychologically with other programmers and computer scientists.

The skills you will gain in the Algorithms Specialization suite

Algorithms

Dynamic programming

Greedy algorithm

Segmentation and conquest algorithms

Randomization algorithm

Sorting algorithm

Charts

Data structure

Hash Table

Below a graph of a graph

Np-Completeness

Course information

Publisher: Coursera Instructor: Tim Roughgarden English language Level of education: Intermediate Number of courses: 4 Duration: 37 hours and 1 minute

Courses in TensorFlow 2 for Deep Learning Specialization

COURSE 1 Divide and Conquer, Sorting and Searching, and Randomized Algorithms

COURSE 2 Graph Search, Shortest Paths, and Data Structures

COURSE 3 Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming

COURSE 4 Shortest Paths Revisited, NP-Complete Problems and What To Do About Them

Prerequisite

Learners should know how to program in at least one programming language (like C, Java, or Python); some familiarity with proofs, including proofs by induction and by contradiction; and some discrete probability, like how to compute the probability that a poker hand is a full house. At Stanford, a version of this course is taken by sophomore, junior, and senior-level computer science majors.

Installation

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Subtitle: English and other languages

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This collection includes 4 different courses.