Hjem

Data-Driven Design

Rochelle King, Elizabeth F. Churchill og Caitlin Tan

Schaum's Outline of Principles of Computer Science

Paul Tymann og Carl Reynolds

R in Action

Data Analysis and Graphics with R

Rob Kabacoff

Data Science from Scratch

First Principles with Python

Joel Grus

Learning SQL

Master SQL Fundamentals

Alan Beaulieu

Weapons of Math Destruction

How Big Data Increases Inequality and Threatens Democracy

Cathy O'Neil

Beginning C# 5.0 Databases

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

Vidya Vrat Agarwal

Designing Data-Intensive Applications

The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

Martin Kleppmann

Practical MongoDB

Architecting, Developing, and Administering MongoDB

Navin Sabharwal og Shakuntala Gupta Edward

Entity Framework Core in Action

Jon P. Smith

Seven Databases in Seven Weeks

A Guide to Modern Databases and the NoSQL Movement

Luc Perkins, Eric Redmond og Jim Wilson

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

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

SQL for Dummies

Allen G. Taylor

Blockchain for Dummies

Tiana Laurence

ISE Database System Concepts

Henry F. Korth, S. Sudarshan og Abraham Silberschatz

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

Deep Learning from Scratch

Building with Python from First Principles

Seth Weidman

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

Database Internals

A Deep Dive into How Distributed Data Systems Work

Alex Petrov

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

Data Science Foundations Tools and Techniques

Core Skills for Quantitative Analysis with R and Git

Michael Freeman og Joel Ross

Deep Reinforcement Learning in Python

A Hands-On Introduction

Laura Harding Graesser og Wah Loon Keng

SQL in 10 Minutes a Day, Pearson Teach Yourself

Ben Forta

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

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

Mobile Big Data

Xiang Cheng, Luoyang Fang, Liuqing Yang og Shuguang Cui

Fog Computing, Deep Learning and Big Data Analytics-Research Directions

C. S. R. Prabhu

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

Internet of Things and Data Analytics Handbook

Hwaiyu Geng

Practical Data Science with SAP

Machine Learning Techniques for Enterprise Data

Greg Foss og Paul Modderman

97 Things about Ethics Everyone in Data Science Should Know

Collective Wisdom from the Experts

Bill Franks

Practical Data Science with Hadoop and Spark

Designing and Building Effective Analytics at Scale

Ofer Mendelevitch, Casey Stella og Doug Eadline

The Internet of Things: Do-It-Yourself at Home Projects for Arduino, Raspberry Pi and BeagleBone Black

Donald Norris