Our generous publishers are sending books again to MLconf Seattle. Make sure to grab coupons, as they’ll be offering exclusive book discounts at MLconf! We’ll be hosting book giveaways at the conclusion of the event for the most unique tweets that mention @mlconf and/or #mlconfsea. Participating publishers include: MIT Press, Cambridge University Press and CRC Press.
Cambridge University Press:
*Save 20% + free shipping when ordering online and enter promo code: 97347
- Agarwal/Chen, Statistical Methods for Recommender Systems
- Efron/Hastie, Computer Age Statistical Inference
- Flach, Machine Learning
- Fouss, Algorithms and Models for Network Data and Link Analysis
- Leskovec et al, Mining of Massive Data Sets
- Liu, Sentiment Analysis
- Watt, Machine Learning Refined
- Robertson, Darkweb Cyber Threat Intelligence Mining
CRC Press:
*Save 20% when ordering online and enter promo code: AWR96
- A First Course in Machine Learning, Second Edition
- Autonomous Vehicle Navigation: From Behavioral to Hybrid Multi-Controller Architectures
- Big Data and Social Science: A Practical Guide to Methods and Tools
- Data Mining: A Tutorial-Based Primer, Second Edition
- Data Mining with R: Learning with Case Studies, Second Edition
- Machine Learning: An Algorithmic Perspective, Second Edition
- Machine Learning: Algorithms and Applications
- Modern Data Science with R
- Statistical Learning with Sparsity: The Lasso and Generalizations
- Sparse Modeling: Theory, Algorithms, and Applications
MIT Press:
* Use discount code: M1179 and save 30% off! Good for only 30 days after MLconf Seattle on https://mitpress.mit.edu/books
- Introduction to Machine Learning, Third Edition
- Deep Learning
- Perturbations, Optimization, and Statistics
- Fundamentals of Machine Learning for Predictive Data Analytics
- Decision Making Under Uncertainty
- Foundations of Machine Learning
- Machine Learning
- Advanced Structured Prediction
- Practical Applications of Sparse Modeling
- Boosting
- Optimization for Machine Learning
- Machine Learning in Non-Stationary Environments
Additional Machine Learning Books on Display:
