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Computer Science

Computer science is the study of computation, information processing, and systems design. It encompasses algorithms, data structures, programming languages, software engineering, artificial intelligence, networks, and cybersecurity. CS drives technological innovation across industries.

Topics in Computer Science

Explore these popular topics to discover new courses and books.
Machine Learning
Data Analysis
Python
Data Visualization
JavaScript
Artificial Intelligence
Natural Language Processing
Java
Big Data
Risk Management
Deep Learning
Problem Solving
HTML
DevOps
Security
Networking
Software Development
network security
Data Analytics
Data Management
Data Manipulation
Docker
Generative AI
Data Structures
Automation
Object-Oriented Programming
Data Science
Functions
Linux
TensorFlow
Computer Vision
C#
Algorithms
Google Cloud Platform
Data Modeling
Agile
React
Prototyping
Neural Networks
Unit Testing
R Programming
Excel
Debugging
Testing
Variables
Git
Monitoring
ChatGPT
Cybersecurity
Data Cleaning
Digital Transformation
Game Development
Animation
Pandas
JSON
Microsoft Azure
Cryptography
Performance Optimization
Version Control
Databases
Error Handling
Scrum
MySQL
R
Data Types
3D Modeling
Loops
Encryption
Angular
Virtualization
Scalability
Programming Fundamentals
Virtual Machines
Database Design
Cloud Architecture
Android Development
Data Transformation
Blockchain
Typography
Data Collection
Data Processing
Routing
Probability
Design Patterns
UI Design
Best Practices
Information Security
TypeScript
Image Processing
Data Mining
Concurrency
.NET
Linear Regression
Model Evaluation
Software Engineering
NumPy
Containerization
Optimization
Computer Science
Robotics
Data Pipelines
NoSQL
Programming
User Experience Design
Convolutional Neural Networks
Load Balancing

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Popular courses
Here are 24 popular courses in Computer Science
Introduction to Linux from LinuxFoundationX
Data Structures and Algorithm Design Part I | 数据结构与算法设计(上) from TsinghuaX
Machine Learning from Stanford University
Big Data, Cloud Computing, & CDN Emerging Technologies from Yonsei University
HTML, CSS and JavaScript from The Hong Kong University of Science and Technology
数据结构基础 from Peking University
Algorithms on Graphs from HSE University
算法基础 from Peking University
Algorithms, Part I from Princeton University
Machine Learning Foundations: A Case Study Approach from University of Washington
Deep Learning from Vincent Vanhoucke, Arpan Chakraborty
Android Basics Nanodegree from Shanea King-Roberson, Katherine Kuan, Chris Lei,...
Machine Learning Engineer Nanodegree from Arpan Chakraborty, David Joyner, Luis Serrano,...
Intro to Artificial Intelligence from Peter Norvig, Sebastian Thrun
Data Analysis with R from Moira Burke, Chris Saden, Solomon Messing, Dean...
Introduction to Computer Vision from Aaron Bobick, Irfan Essa, Arpan Chakraborty
Machine Learning from Michael Littman, Charles Isbell, Pushkar Kolhe
Developing Android Apps from Dan Galpin, Lyla Fujiwara, Reto Meier, Asser Samak,...
Siraj Raval's Deep Learning from Udacity
JavaScript Introduction from W3Cx
Intro to JavaScript from Julia Van Cleve, James Parkes
Artificial Intelligence from Thad Starner
機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations from National Taiwan University
JavaScript: Understanding the Weird Parts from Anthony Alicea
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