Springer Mathematical Introduction to Data Science

Math for Data Science

Springer

An Introduction to Statistical Data Science: Theory and Models

Springer

Mathematical Problems in Data Science: Theoretical and Practical Methods

Springer

Introductory Statistics for Data Analysis

Springer

Elsevier Mathematical Methods in Data Science - Book

Elsevier

Statistics for Data Science and Policy Analysis

Springer

Data Science: Theory, Algorithms, and Applications (Transactions on Computer Systems and Networks)

Springer

Data Science and Internet of Things: Research and Applications at the Intersection of DS and IoT

Springer

Computing for Data Analysis: Theory and Practices (Data-Intensive Research)

Springer

Computing for Data Analysis: Theory and Practices (Data-Intensive Research)

Springer

Mathematical Methods for Engineering and Science

Springer

Machine Learning for Computer Scientists and Data Analysts: From an Applied Perspective

Springer

Statistical Models and Methods for Data Science (Studies in Classification, Data Analysis, and Knowledge Organization)

Springer

Advanced Modeling and Data Challenges

Springer

Introduction to Scientific Computing and Data Analysis: 13 (Texts in Computational Science and Engineering, 13)

Springer

Introduction to Data Science

Cognella Academic Publishing

Data Science: Foundations and Hands-on Experience: Handling Economic, Spatial, and Multidimensional Data with R

Springer

Data Analysis of Medical Studies: Reading and Reporting

Springer

Introduction to the Science Popularization Industry

Springer

Data Science and SDGs: Challenges, Opportunities and Realities

Regression Techniques for Data Analysis

Springer

Digital Signal Processing: An Introduction

Springer

Frame Theory in Data Science (Advances in Science, Technology & Innovation)

Data Science and Statistics: Introduction to Data Science