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The Elements of Statistical Learning

Data Mining, Inference, and Prediction

Trevor Hastie, Robert Tibshirani, Jerome Friedman og J. H. Friedman

Database Systems - A Practical Approach to Design, Implementation, and Management

ISE Database System Concepts

Henry F. Korth, S. Sudarshan og Abraham Silberschatz

R in Action

Data Analysis and Graphics with R

Rob Kabacoff

Schaum's Outline of Principles of Computer Science

Paul Tymann og Carl Reynolds

Seven Databases in Seven Weeks

A Guide to Modern Databases and the NoSQL Movement

Luc Perkins, Eric Redmond og Jim Wilson

Learning SQL

Master SQL Fundamentals

Alan Beaulieu

Pragmatic AI

An Introduction to Cloud-Based Machine Learning

Noah Gift

Deep Learning Illustrated

A Visual, Interactive Guide to Artificial Intelligence

Jon Krohn, Beyleveld Grant og Bassens Aglaé

Blockchain: a Practical Guide to Developing Business, Law, and Technology Solutions

Joseph J. Bambara, Paul R. Allen, Kedar Iyer, Solomon Lederer, Rene Madsen og Michael Wuehler

SQL for Dummies

Allen G. Taylor

Blockchain

Tiana Laurence

Harness the Power of Big Data the IBM Big Data Platform

Paul Zikopoulos, Dirk deRoos, Krishnan Parasuraman, Thomas Deutsch, James Giles og David Corrigan

Successful Business Intelligence, Second Edition

Unlock the Value of BI & Big Data

Cindi Howson

Bayesian Methods for Hackers

Probabilistic Programming and Bayesian Methods

Cameron Davidson-Pilon

Machine Learning in Production

Developing and Optimizing Data Science Workflows and Applications

Andrew Kelleher og Adam Kelleher

R for Everyone

Jared P. Lander

Pandas for Everyone

Python Data Analysis

Daniel Y. Chen

Beginning C# 5.0 Databases

Learn to Create Datbse Objetcs and Program Against Them in Both T-Sql and C#

Vidya Vrat Agarwal

Big Data and Social Science

A Practical Guide to Methods and Tools

Ian Foster, Rayid Ghani, Ron S. Jarmin, Frauke Kreuter og Julia Lane

Leadership Strategies in the Age of Big Data, Algorithms, and Analytics

Norton Paley

Implementing a SQL Data Warehouse

Exam Ref, 70-767

Jose Chinchilla og Raj Uchanna

The Definitive Guide to DAX

Business Intelligence with Microsoft Excel, SQL Server Analysis Services, and Power BI

Marco Russo og Alberto Ferrari

Practical MongoDB

Architecting, Developing, and Administering MongoDB

Navin Sabharwal og Shakuntala Gupta Edward

Database Internals

A Deep Dive into How Distributed Data Systems Work

Alex Petrov

Data Science from Scratch

First Principles with Python

Joel Grus

Deep Learning from Scratch

Building with Python from First Principles

Seth Weidman

Entity Framework Core in Action

Jon P. Smith

Weapons of Math Destruction

How Big Data Increases Inequality and Threatens Democracy

Cathy O'Neil

Data-Driven Design

Rochelle King, Sean Power, Elizabeth F. Churchill og Caitlin Tan

The Human Element of Big Data

Issues, Analytics, and Performance

Geetam S. Tomar, Narendra S. Chaudhari, Robin Singh Bhadoria og Ganesh Chandra Deka

Computational Intelligence Applications in Business Intelligence and Big Data Analytics

Vijayan Sugumaran, Arun Kumar Sangaiah og Arunkumar Thangavelu

Big Data and Analytics Applications in Government

Current Practices and Future Opportunities

Gregory Richards

Practical Data Science with SAP

Machine Learning Techniques for Enterprise Data

Greg Foss og Paul Modderman

Big Data Strategies for Agile Business

Bhuvan Unhelkar

Complete Guide to Open Source Big Data Stack

Michael Frampton

Machine Learning and AI for Healthcare

Big Data for Improved Health Outcomes

Arjun Panesar

MongoDB: the Definitive Guide

Powerful and Scalable Data Storage

Shannon Bradshaw, Kristina Chodorow og Eoin Brazil

Getting Started with Kudu

Perform Fast Analytics on Fast Data

Jean-Marc Spaggiari, Mladen Kovacevic, Brock Noland og Ryan Bosshart

Machine Learning with Python for Everyone

Mark Fenner

Data Analytics with Spark Using Python

Jeffrey Aven

SQL Queries for Mere Mortals

A Hands-On Guide to Data Manipulation in SQL

John L. Viescas

Big Data Analytics Using Multiple Criteria Decision-Making Models

Ramakrishnan Ramanathan, Muthu Mathirajan og A. Ravi Ravindran

Data Science Foundations Tools and Techniques

Core Skills for Quantitative Analysis with R and Git

Michael Freeman og Joel Ross

Internet of Things and Data Analytics Handbook

Hwaiyu Geng

A Primer on Process Mining

Practical Skills with Python and Graphviz

Diogo R. Ferreira

Smart Sustainable Cities of the Future

The Untapped Potential of Big Data Analytics and Context-Aware Computing for Advancing Sustainability

Simon Elias Bibri

Applications of Big Data Analytics

Trends, Issues, and Challenges

Mohammed M. Alani, Hissam Tawfik, Mohammed Saeed og Obinna Anya

Social Network Based Big Data Analysis and Applications

Mehmet Kaya, Jalal Kawash, Suheil Khoury og Min-Yuh Day

Big Data in Computational Social Science and Humanities

Shu-Heng Chen