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.

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
- Understanding LLMs (Large Language Models): The Ultimate Guide for 2025
- SQL Joins Explained: A Complete Guide with Examples
- Time Series Analysis on Air Passenger Data
- Mastering Python in 2025: A Complete Roadmap for Beginners
- The Ultimate Guide to Artificial Intelligence (AI) for Beginners
- Navigating AI Careers in 2025: Data Science, Machine Learning, Deep Learning, and More
- AI & Space Exploration – AI’s Role in Deep Space Missions and Planetary Research
- Deep Learning (DL): The Core of Modern AI
- How to Install Tableau and Power BI on Ubuntu Using VirtualBox
- Datasets for Exploratory Data Analysis for Beginners
- AI in Cybersecurity: The Future of Digital Protection
- Python Challenging Programming Exercises Part 3
- How AI Companies Are Making Humans Fools and Exploiting Their Data
- Datasets for Natural Language Processing
- Grow your business with Facebook Marketing
- What to Do When Your MySQL Table Grows Too Wide
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