Comprehensive Mathematics for Computer Scientists 2
Book Details
| Author | Guerino Mazzola |
|---|---|
| Publisher | Springer |
| Published Year | 2004 |
| Pages | 365 |
| Language | English |
| ISBN-10 | 3540208615 |
| ISBN-13 | 978-3540208617 |
This advanced volume explores the deeper mathematical foundations essential for computer science, including topology, category theory, logic, and automata theory. Perfect for researchers and graduate students, it builds on the groundwork laid in Volume 1, offering theoretical depth and practical applications.
Prepare for Interview
- JavaScript Interview Questions for 5+ Years Experience
- JavaScript Interview Questions for 2–5 Years Experience
- JavaScript Interview Questions for 1–2 Years Experience
- JavaScript Interview Questions for 0–1 Year Experience
- JavaScript Interview Questions For Fresher
- SQL Interview Questions for 5+ Years Experience
- SQL Interview Questions for 2–5 Years Experience
- SQL Interview Questions for 1–2 Years Experience
- SQL Interview Questions for 0–1 Year Experience
- SQL Interview Questions for Freshers
- Design Patterns in Python
- Dynamic Programming and Recursion in Python
- Trees and Graphs in Python
- Linked Lists, Stacks, and Queues in Python
- Sorting and Searching in Python
- Debugging in Python
- Unit Testing in Python
- Asynchronous Programming in PYthon
Tutorials
Follow us on Linkedin
Random Blogs
- The Ultimate Guide to Data Science: Everything You Need to Know
- Understanding HTAP Databases: Bridging Transactions and Analytics
- Transforming Logistics: The Power of AI in Supply Chain Management
- Datasets for Speech Recognition Analysis
- Python Challenging Programming Exercises Part 2
- Robotics & AI – How AI is Powering Modern Robotics
- Navigating AI Careers in 2025: Data Science, Machine Learning, Deep Learning, and More
- The Ultimate Guide to Starting a Career in Computer Vision
- String Operations in Python
- AI in Cybersecurity: The Future of Digital Protection
- How AI Companies Are Making Humans Fools and Exploiting Their Data
- Understanding Data Lake, Data Warehouse, Data Mart, and Data Lakehouse – And Why We Need Them
- Google’s Core Update in May 2020: What You Need to Know
- Generative AI - The Future of Artificial Intelligence
- Exploratory Data Analysis On Iris Dataset
- Understanding AI, ML, Data Science, and More: A Beginner's Guide to Choosing Your Career Path
Datasets for Machine Learning
- Awesome-ChatGPT-Prompts
- Amazon Product Reviews Dataset
- Ozone Level Detection Dataset
- Bank Transaction Fraud Detection
- YouTube Trending Video Dataset (updated daily)
- Covid-19 Case Surveillance Public Use Dataset
- US Election 2020
- Forest Fires Dataset
- Mobile Robots Dataset
- Safety Helmet Detection
- All Space Missions from 1957
- OSIC Pulmonary Fibrosis Progression Dataset
- Wine Quality Dataset
- Google Audio Dataset
- Iris flower dataset










