Books like A Computational Approach to Statistical Learning

#1

Distributed Artificial Intelligence A Modern Approach

Dharmendra Prasad Mahato

Themes: Mainframes & Minicomputers • Machine Learning • Machine Theory

#2

Artificial Intelligence for Capital Markets

Syed Hasan Jafar

Themes: Mainframes & Minicomputers • Machine Theory • Computer Architecture

#3

The Master Algorithm How the Quest for the Ultimate Learning Machine Will Remake Our World

Pedro Domingos

Themes: Machine Learning • Machine Theory • Automation

#4

Introduction to Machine Learning with Applications in Information Security

Mark Stamp

Themes: Machine Theory • Automation • Statistics

#5

Cloud Based Multi-Modal Information Analytics A Hands-On Approach

Srinidhi Hiriyannaiah

Themes: Machine Learning • Machine Theory • Computer Architecture

#6

High-Performance Computing in Finance Problems, Methods, and Solutions

M. A. H. Dempster

Themes: Mainframes & Minicomputers • Computer Architecture • Statistics

#7

The Model Thinker What You Need to Know to Make Data Work for You

Scott E. Page

Themes: Stochastic Processes • Statistics • Data Science

#8

Fuzzy Control of Queuing Systems

Runtong Zhang

Themes: Automation • Stochastic Processes • Hardware

#9

Statistical Learning with Sparsity The Lasso and Generalizations

Trevor Hastie

Themes: Machine Theory • Automation • Statistics

#10

Bioinformatics A Practical Guide to Next Generation Sequencing Data Analysis

Hamid D. Ismail

Themes: Automation • Statistics • Data Science

#11

Support Vector Machines Optimization Based Theory, Algorithms, and Extensions

Naiyang Deng

Themes: Machine Theory • Automation • Statistics

#12

MRSA In Practice

Ian Gould

Themes: Mainframes & Minicomputers • Automation • Hardware

#13

Artificial Intelligence and Causal Inference

Momiao Xiong

Themes: Machine Theory • Automation • Statistics

#14

Introduction to Engineering and Scientific Computing with Python

David E. Clough

Themes: Mainframes & Minicomputers • Computer Architecture • Automation

#15

Metaheuristic Algorithms in Industry 4.0

Pritesh Shah

Themes: Machine Theory • Automation • Data Science

#16

Neural Networks and the Financial Markets Bpredicting, Combining, and Portfolio Optimisation

Jimmy Shadbolt

Themes: Computer Architecture • Statistics • Data Science

#17

Vacation Queueing Models Theory and Applications

Naishuo Tian

Themes: Stochastic Processes • Data Science • Hardware

#18

Data Science Fundamentals with R, Python, and Open Data

Marco Cremonini

Themes: Stochastic Processes • Statistics • Data Science

#19

Healthcare Solutions Using Machine Learning and Informatics

Punit Gupta

Themes: Machine Learning • Machine Theory • Automation

#20

Unifying Business, Data, and Code Designing Data Products with JSON Schema

Ron Itelman

Themes: Machine Learning • Automation • Statistics

#21

High Performance Discovery In Time Series Techniques and Case Studies

Dennis Elliott Shasha

Themes: Stochastic Processes • Data Science • Hardware

#22

High Performance Computing Systems and Applications

Robert D. Kent

Themes: Mainframes & Minicomputers • Computer Architecture • Data Science

#23

The Elements of Statistical Learning Data Mining, Inference, and Prediction

Trevor Hastie

Themes: Machine Learning • Machine Theory • Data Science

#24

Modeling Change and Uncertainty Machine Learning and Other Techniques

William P. Fox

Themes: Machine Theory • Automation • Probability & Statistics