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Bestsellers in Databases
#1: Data Structures and Algorithms Made Easy: Data Structures and Algorithmic Puzzles
#2: Numsense! Data Science for the Layman: No Math Added
#3: SQL: Easy SQL Programming & Database Management For Beginners, Your Step-By-Step Guide To Learning The SQL Database (SQL Series Book 1)
#4: Python Machine Learning by Example
#5: Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
#6: SQL Server Interview Questions
#7: Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
#8: The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)
#9: Data Analytics: A Practical Guide To Data Analytics For Business, Beginner To Expert(Data Analytics, Prescriptive Analytics, Statistics, Big Data, Intelligence, ... Master Data, Data Science, Data Mining)
#10: AWS: Amazon Web Services Tutorial The Ultimate Beginners Guide
New Releases in Databases
#1: Data Analytics: An Essential Beginner’s Guide To Data Mining, Data Collection, Big Data Analytics For Business, And Business Intelligence Concepts
#2: SQL Server 2017 Machine Learning Services with R: Data exploration, modeling, and advanced analytics
#3: SQL: Simplified SQL Programming & Database Management For Beginners. Your Step-By-Step Guide To Learning The SQL Database (SQL Series)
#4: Mastering TensorFlow 1.x: Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras
#5: SAP HANA Modeling Practical World
#6: Regression Analysis with R: Design and develop statistical nodes to identify unique relationships within data at scale
#7: Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists
#8: Hadoop Certification Definitive Guide (CCA 175)
#9: HBR Guide to Data Analytics Basics for Managers
#10: Spark – The Definitive Guide
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