Basic Knowledge Computer Language: The language used for communication between humans and computers is called computer language. Computer languages are divided into high-level languages and low-level languages. High-level languages: Far from hardware. Low-level languages: Close to hardware. Instruction: A command for the computer to perform a certain operation, consisting of a series of binary codes. … Read more
Written by Wei Song & Wei Qing Typesetting by Dastin Computers play an irreplaceable role in various fields, including scientific research and finance, and programming ability is an important criterion for many laboratories when selecting students. Even if you may never use C language again, this 4-credit course is still very important as an introductory … Read more
Author Introduction The author, Wang Yibo, has graduated for over ten years, and is the author of “Algorithm Secrets”, focusing on the explanation of data structures and algorithms. He has solved over 2000 problems on more than 30 algorithm websites globally, and has written over 800 algorithm problem solutions on his public account, having unique … Read more
C programs are frequently asked questions in interviews. These programs can range from basics, arrays, strings, pointers, linked lists, file handling, etc. Let’s take a look at the list of C programs. 1) Fibonacci Sequence Without Recursion: #include <stdio.h> void printFibonacci(int n) { int a = 0, b = 1, nextTerm; for (int i = … Read more
Recently, I encountered a problem with byte endian conversion in a protocol, so I lazily went online to check it out and came across a similar issue, learning a new term called butterfly swapping. The Problem Is As Follows The protocol requires that the low byte is on the left and the high byte is … Read more
Word Count: 9700 Practical Value: ⭐⭐⭐⭐⭐ Simple Algorithms for Counting, Summation, and Factorial These types of problems require the use of loops. It is important to determine the initial value, terminal value, or termination condition of the loop based on the problem. Additionally, pay attention to the initial values of the variables used to represent … Read more
One of the hot topics at the forefront of academic discussions both domestically and internationally is undoubtedly the comprehensive exploration of issues related to big data and artificial intelligence (AI), such as neural networks, deep learning, algorithmic bias, machine ethics, and robot emotions, all of which are receiving significant attention. The related research is in … Read more
✦ ✦ ✦ Abstract One of the core theoretical issues in current artificial intelligence research is the problem of “understanding” in AI. For most computational simulations, people cannot achieve the kind of transparency in the traditional epistemological sense. From the perspective of technical implementation in computational science, given the enormous and complex computational volume, it … Read more
01 Reinforcement Learning (RL), also known as evaluative learning or enhanced learning, is one of the paradigms and methodologies in machine learning used to describe and solve the problem of agents learning strategies to maximize rewards or achieve specific goals through interactions with the environment. It is inspired by the behaviorist theory in psychology, which … Read more
Source: Big Data Digest The length of this article is 5288 words, recommended reading time 10 minutes This article summarizes 10 deep learning methods suitable for four basic network architectures. Over the past decade, public interest in machine learning has grown significantly. Machine learning can be seen almost daily in computer science programs, industry conferences, … Read more