Computer Age Statistical Inference
Book Details
| Author | Bradley Efron |
|---|---|
| Publisher | |
| Published Year | 2016 |
| Pages | 495 |
| Language | English |
| ISBN-10 | 1107149894 |
| ISBN-13 | 978-1107149892 |
Computer Age Statistical Inference by Bradley Efron (co-authored with Trevor Hastie) bridges classical and modern approaches to statistics in the era of big data and computational power. The book provides a unified view of statistical inference, covering traditional methods like Bayesian and frequentist inference while also exploring contemporary machine learning techniques such as bootstrapping, regression trees, and neural networks. Written by two leading statisticians, it's a valuable resource for advanced students and professionals seeking to understand the evolving role of computation in statistical analysis.
Add to Bookmark
Recommended Books For You
Numerical Algorithms Methods for Computer Vision, Machine Learning, and Graphics
By : Justin Solomon
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
- Understanding LLMs (Large Language Models): The Ultimate Guide for 2025
- Grow your business with Facebook Marketing
- How to Install Tableau and Power BI on Ubuntu Using VirtualBox
- Datasets for Natural Language Processing
- Data Analytics: The Power of Data-Driven Decision Making
- OLTP vs. OLAP Databases: Advanced Insights and Query Optimization Techniques
- The Beginner’s Guide to Normalization and Denormalization in Databases
- Important Mistakes to Avoid While Advertising on Facebook
- Understanding AI, ML, Data Science, and More: A Beginner's Guide to Choosing Your Career Path
- Where to Find Free Datasets for Your Next Machine Learning & Data Science Project
- Career Guide: Natural Language Processing (NLP)
- Top 10 Knowledge for Machine Learning & Data Science Students
- String Operations in Python
- How AI Companies Are Making Humans Fools and Exploiting Their Data
- Quantum AI – The Future of AI Powered by Quantum Computing
- AI Agents: The Future of Automation, Work, and Opportunities in 2025
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