What to Read After Mining of Massive Datasets
Readers who loved Mining of Massive Datasets by Jure Leskovec keep reaching for these 24 books. This list is built from where Mining of Massive Datasets is read alongside other books across reader co-reads and book lists. The more independent sources agree on a title, the higher it ranks.
Books to read after Mining of Massive Datasets
The Elements of Statistical Learning
Machine Learning
Pattern Recognition and Machine Learning (Information Science and Statistics)
The Master Algorithm
INFORMATION THEORY, INFERENCE, AND LEARNING ALGORITHMS.
Big Data
Introduction to Information Retrieval
Natural Language Processing With Python
Learning Spark: Lightning-Fast Big Data Analysis
An Introduction To Statistical Learning With Applications In R
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
Data Mining
Problem Solving with Algorithms and Data Structures Using Python
An Introduction to Statistical Learning
The Art of Multiprocessor Programming
R in a Nutshell
The Algorithm Design Manual
Design Patterns
Artificial Intelligence
The Visual Display of Quantitative Information
The Logic of Scientific Discovery
Introduction to Algorithms
Head First design patterns
The Feynman Lectures on Physics including Feynman's Tips on Physics