Title: Deep Learning: A Practitioner's Approach, Author: Josh Patterson
Title: Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists, Author: Alice Zheng
Title: Data Science from Scratch: First Principles with Python, Author: Joel Grus
Title: Agile Data Science 2.0: Building Full-Stack Data Analytics Applications with Spark, Author: Russell Jurney
Title: Cluster Analysis and Data Mining: An Introduction, Author: Ronald S. King
Title: Scala for Machine Learning - Second Edition: Leverage Scala and Machine Learning to study and construct systems that can learn from data, Author: Patrick R. Nicolas
Title: Mastering PostgreSQL 17 - Sixth Edition: Elevate your database skills with advanced deployment, optimization, and security strategies, Author: Hans-Jïrgen Schïnig
Title: SQL Server 2016 Developer's Guide: Get the most out of the rich development capabilities of SQL Server 2016 to build efficient database applications for your organization, Author: Dejan Sarka
Title: Azure Data Engineering Cookbook - Second Edition: Get well versed in various data engineering techniques in Azure using this recipe-based guide, Author: Nagaraj Venkatesan
Title: Mastering Python for Data Science, Author: Samir Madhavan
Title: The Data Warehouse Lifecycle Toolkit, Author: Ralph Kimball
Title: Mastering Data Warehouse Aggregates: Solutions for Star Schema Performance, Author: Christopher Adamson
Title: Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques: A Guide to Data Science for Fraud Detection, Author: Bart Baesens
Title: Data Analysis Using SQL and Excel, Author: Gordon S. Linoff
Title: Datenintensive Anwendungen designen: Konzepte für zuverlässige, skalierbare und wartbare Systeme, Author: Martin Kleppmann
Title: R for Everyone: Advanced Analytics and Graphics, Author: Jared Lander
Title: Contemporary Perspectives in Data Mining, Author: Kenneth D. Lawrence
Title: Big Data Fundamentals: Concepts, Drivers & Techniques, Author: Thomas Erl
Title: Mining Multimedia and Complex Data: KDD Workshop MDM/KDD 2002, PAKDD Workshop KDMCD 2002, Revised Papers, Author: Osmar R. Zaiane
Title: Machine Learning and Data Mining in Pattern Recognition: Third International Conference, MLDM 2003, Leipzig, Germany, July 5-7, 2003, proceedings, Author: Petra Perner

Pagination Links