Numerical Algorithms Methods for Computer Vision, Machine Learning, and Graphics
Book Details
| Author | Justin Solomon |
|---|---|
| Publisher | CRC Press |
| Published Year | 2015 |
| Pages | 392 |
| Language | English |
| ISBN-10 | 1482251884 |
| ISBN-13 | 978-1482251883 |
Numerical Algorithms: Methods for Computer Vision, Machine Learning, and Graphics by Justin Solomon provides a comprehensive and practical introduction to numerical methods that are essential for solving problems in modern computational fields. The book bridges the gap between theory and real-world applications in computer vision, graphics, and machine learning, using clear explanations and code-ready algorithms. Ideal for students and professionals alike, it focuses on optimization, linear algebra, and differential equations in an accessible and application-driven manner.
Add to Bookmark
Recommended Books For You
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
- Career Guide: Natural Language Processing (NLP)
- What Is SEO and Why Is It Important?
- Exploratory Data Analysis On Iris Dataset
- The Ultimate Guide to Starting a Career in Computer Vision
- Top 10 Knowledge for Machine Learning & Data Science Students
- Top 10 Blogs of Digital Marketing you Must Follow
- Datasets for Exploratory Data Analysis for Beginners
- Understanding HTAP Databases: Bridging Transactions and Analytics
- Ideas for Content of Every niche on Reader’s Demand during COVID-19
- AI in Cybersecurity: The Future of Digital Protection
- Understanding OLTP vs OLAP Databases: How SQL Handles Query Optimization
- Downlaod Youtube Video in Any Format Using Python Pytube Library
- Python Challenging Programming Exercises Part 2
- Python Challenging Programming Exercises Part 3
- Store Data Into CSV File Using Python Tkinter GUI Library
- SQL Joins Explained: A Complete Guide with Examples
Datasets for Machine Learning
- 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
- Artificial Characters Dataset