MACHINE LEARNING An Algorithmic Perspective 2nd Eddition
Book Details
| Author | Ralf Herbrich, Thore Graepel |
|---|---|
| Publisher | CRC Press |
| Published Year | 2015 |
| Pages | 452 |
| Language | English |
| ISBN-10 | 1466583282 |
| ISBN-13 | 978-1466583283 |
Machine Learning: An Algorithmic Perspective (2nd Edition) by Ralf Herbrich and Thore Graepel offers a practical and mathematically grounded introduction to core machine learning algorithms. It emphasizes the algorithmic implementation of key techniques like supervised and unsupervised learning, kernel methods, and probabilistic models. Designed for students, researchers, and practitioners, the book balances theory with practical insights, making it a valuable resource for understanding how machine learning works under the hood.
Add to Bookmark
Recommended Books For You
Artificial Neural Networks and Machine Learning – ICANN 2011 Part II
By : Timo Honkela Włodzisław Duch
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
- Robotics & AI – How AI is Powering Modern Robotics
- Datasets for analyze in Tableau
- The Ultimate Guide to Data Science: Everything You Need to Know
- Understanding LLMs (Large Language Models): The Ultimate Guide for 2025
- Grow your business with Facebook Marketing
- 15 Amazing Keyword Research Tools You Should Explore
- Understanding OLTP vs OLAP Databases: How SQL Handles Query Optimization
- Compiler SQL Online: A Beginner-Friendly Guide to Running SQL Queries Anywhere
- Loan Default Prediction Project Using Machine Learning
- Mastering Python in 2025: A Complete Roadmap for Beginners
- How Multimodal Generative AI Will Change Content Creation Forever
- What to Do When Your MySQL Table Grows Too Wide
- Python Challenging Programming Exercises Part 2
- SQL Joins Explained: A Complete Guide with Examples
- Transforming Logistics: The Power of AI in Supply Chain Management
- Python Challenging Programming Exercises Part 1
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