Books like Neural Networks and Statistical Learning

#1

Data Mining and Decision Support Integration and Collaboration

Dunja Mladenic

Themes: Expert Systems • Optical Data Processing • Computer Vision & Pattern Recognition

#2

Computer Vision and Internet of Things Technologies and Applications

Lavanya Sharma

Themes: Optical Data Processing • Computer Vision & Pattern Recognition • Data Analytics

#3

Biometric System and Data Analysis Design, Evaluation, and Data Mining

Ted Dunstone

Themes: Optical Data Processing • Computer Vision & Pattern Recognition • Data Analytics

#4

High-Dimensional Statistics A Non-Asymptotic Viewpoint

Martin J. Wainwright

Themes: Optical Data Processing • Data Analytics • Data Science

#5

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

Pedro Domingos

Themes: Expert Systems • Data Science • Artificial Intelligence

#6

Modelling and Reasoning with Vague Concepts

Jonathan Lawry

Themes: Optical Data Processing • Computer Vision & Pattern Recognition • Artificial Intelligence

#7

Machine Learning for Protein Subcellular Localization Prediction

Shibiao Wan

Themes: Data Analytics • Data Science • Artificial Intelligence

#8

Industry 4.0, AI, and Data Science Research Trends and Challenges

Vikram Bali

Themes: Data Analytics • Data Science • Artificial Intelligence

#9

Data Warehousing and Data Mining Techniques for Cyber Security

Anoop Singhal

Themes: Expert Systems • Data Analytics • Data Science

#10

Semantic Web and Web Science

Juanzi Li

Themes: Expert Systems • Data Analytics • Data Science

#11

Beginning Apache Cassandra Development

Vivek Mishra

Themes: Expert Systems • Data Analytics • Data Science

#12

Mastering Snowflake Solutions Supporting Analytics and Data Sharing

Adam Morton

Themes: Expert Systems • Data Analytics • Data Science

#13

Beginning Apache Pig Big Data Processing Made Easy

Balaswamy Vaddeman

Themes: Expert Systems • Data Analytics • Data Science

#14

Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis

Uffe B. Kjærulff

Themes: Expert Systems • Data Analytics • Data Science

#15

Object Detection with Deep Learning Models Principles and Applications

S. Poonkuntran

Themes: Optical Data Processing • Computer Vision & Pattern Recognition • Data Science

#16

Detecting Regime Change in Computational Finance Data Science, Machine Learning and Algorithmic Trading

Jun Chen

Themes: Computer Vision & Pattern Recognition • Data Analytics • Data Science

#17

Introduction to Machine Learning with Applications in Information Security

Mark Stamp

Themes: Data Science • Artificial Intelligence • Probability & Statistics

#18

Digital and Statistical Signal Processing

Anastasia Veloni

Themes: Optical Data Processing • Data Science • Probability & Statistics

#19

Distributed Artificial Intelligence A Modern Approach

Dharmendra Prasad Mahato

Themes: Data Analytics • Data Science • Artificial Intelligence

#20

Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data COVID-19 and Beyond

Siddhartha Bhattacharyya

Themes: Data Analytics • Data Science • Artificial Intelligence

#21

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

Trevor Hastie

Themes: Data Analytics • Data Science • Artificial Intelligence

#22

Optimized Bayesian Dynamic Advising Theory and Algorithms

Miroslav Karny

Themes: Optical Data Processing • Computer Vision & Pattern Recognition • Artificial Intelligence

#23

Mathematics for Machine Learning

Marc Peter Deisenroth

Themes: Optical Data Processing • Computer Vision & Pattern Recognition • Artificial Intelligence

#24

NETLAB Algorithms for Pattern Recognition

Ian Nabney

Themes: Optical Data Processing • Computer Vision & Pattern Recognition • Artificial Intelligence