predicting presidential elections

An Introduction to Statistical Learning - (Springer Texts in Statistics)

Neural Advances in Processing Nonlinear Dynamic Signals - (Smart Innovation, Systems and Technologies) (Hardcover)

Hands-On Time Series Analysis with Python - by B V Vishwas & Ashish Patel (Paperback)

Theory, Algorithms, and Experiments in Applied Optimization - (Springer Optimization and Its Applications) by Boris Goldengorin (Hardcover)

Grammatical Inference: Theoretical Results and Applications - by José Sempere & Pedro García (Paperback)

Disinformation - by Lisa Ginsborg & Paula Gori (Hardcover)

Kernel Adaptive Filtering - (Adaptive and Cognitive Dynamic Systems: Signal Processing, L) by Weifeng Liu & José C Principe & Simon Haykin

Introduction to Statistical Machine Learning - by Masashi Sugiyama (Paperback)

Machine Learning - (Springer Reliability Engineering) by Xufeng Zhao & Qihui Wu & Hoang Pham (Hardcover)

Brain Signal Analysis - by Rashmi Singh & Aryan Chaudhary & Vidyapati Kumar (Hardcover)

Big Data Recommender Systems - (Computing and Networks) by Osman Khalid & Samee U Khan & Albert Y Zomaya (Hardcover)

Machine-Learning-Assisted Software Defect Prediction - by Zhou Xu (Hardcover)

Introduction to Linear Regression Analysis - (Wiley Probability and Statistics) 6th Edition (Hardcover)

Uncertainties in Numerical Weather Prediction - by Haraldur Olafsson & Jian-Wen Bao (Paperback)

Applied Linear Regression for Business Analytics with Python - (International Operations Research & Management Science) by Daniel P McGibney

Uncertain Multi-Criteria Optimization Problems - (Hardcover)

Mobile Security: A Comprehensive Guide to Securing Information - by Alexander Castro (Hardcover)

Autonomous Cyber Resilience - by Charles A Kamhoua & Alexander Kott & Quanyan Zhu & Nandi O Leslie (Hardcover)