Data Analysis, Machine Learning and Applications
Book Details
| Author | Christine Preisach |
|---|---|
| Publisher | Springer |
| Published Year | 2008 |
| Pages | 703 |
| Language | English |
| ISBN-10 | 9783540782391 |
| ISBN-13 | 978-3540782391 |
Data Analysis, Machine Learning and Applications by Christine Preisach provides a comprehensive overview of modern data-driven techniques. It covers theoretical foundations, practical methods, and real-world applications of machine learning and data analysis, making it an essential reference for students, researchers, and professionals in computer science, statistics, and applied fields.
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
- AI Agents & Autonomous Systems – The Future of Self-Driven Intelligence
- AI Agents: The Future of Automation, Work, and Opportunities in 2025
- 10 Awesome Data Science Blogs To Check Out
- Navigating AI Careers in 2025: Data Science, Machine Learning, Deep Learning, and More
- Convert RBG Image to Gray Scale Image Using CV2
- Datasets for Exploratory Data Analysis for Beginners
- The Ultimate Guide to Artificial Intelligence (AI) for Beginners
- Understanding OLTP vs OLAP Databases: How SQL Handles Query Optimization
- The Ultimate Guide to Starting a Career in Computer Vision
- Grow your business with Facebook Marketing
- Variable Assignment in Python
- 15 Amazing Keyword Research Tools You Should Explore
- Understanding SQL vs MySQL vs PostgreSQL vs MS SQL vs Oracle and Other Popular Databases
- Where to Find Free Datasets for Your Next Machine Learning & Data Science Project
- Top 10 Blogs of Digital Marketing you Must Follow
- Important Mistakes to Avoid While Advertising on Facebook
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