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  • Statistics for Machine Learning : Build Machine Learning models with a sound statistical understanding. - Pratap Dangeti
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  • Scala and Spark for Big Data Analytics : Harness the power of Scala to program Spark and analyze tonnes of data in the blink of an eye! - Sridhar Alla Md. Rezaul Karim
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  • Mastering Apache Spark 2.x - Second Edition : Advanced analytics on your Big Data with latest Apache Spark 2.x - Romeo Kienzler
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  • Machine Learning Algorithms : Build strong foundation for entering the world of Machine Learning and data science with the help of this comprehensive guide - Giuseppe Bonaccorso
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  • Apache Spark 2.x for Java Developers : Unleash the data processing and analytics capability of Apache Spark with the language of choice: Java - Sumit Kumar Sourav Gulati
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  • Python Social Media Analytics : Leverage the power of Python to collect, process, and mine deep insights from social media data - Michal Krystyanczuk Siddhartha Chatterjee
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  • Hands-On Data Science and Python Machine Learning : This book covers the fundamentals of machine learning with Python in a concise and dynamic manner. It covers data mining and large-scale machine learning using Apache Spark. - Frank Kane
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  • Python Natural Language Processing : Leverage the power of machine learning and deep learning to extract information from text data - Jalaj Thanaki
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  • Hands-On Deep Learning with TensorFlow - Dan Van Boxel
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  • Apache Mesos Cookbook : Over 50 recipes on the core features of Apache Mesos and running big data frameworks in Mesos - Tomasz Janiszewski David Blomquist
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  • HBR Guide to Data Analytics Basics for Managers (HBR Guide Series) : HBR Guide - Harvard Business Review
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  • Jupyter for Data Science : Your one-stop guide to building an efficient data science pipeline using Jupyter - Dan Toomey
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  • MySQL 8 for Big Data : Uncover the power of MySQL 8 for Big Data - Chintan Mehta
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    Chintan Mehta, Shabbir Challawala, Jaydip Lakhatariya and Kandarp Patel
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  • MongoDB Administrator's Guide : Manage, fine-tune, secure and deploy your MongoDB solution with ease with the help of practical recipes - Cyrus Dasadia
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  • Machine Learning for Developers : Your one-stop guide to becoming a Machine Learning expert. - Rodolfo Bonnin
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  • Scala for Machine Learning - Second Edition : Leverage Scala and Machine Learning to study and construct systems that can learn from data - Patrick R. Nicolas
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  • Practical Real-time Data Processing and Analytics : A practical guide to help you tackle different real-time data processing and analytics problems using the best tools for each scenario - Saurabh Gupta Shilpi Saxena
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  • Practical Time Series Analysis : Step by Step guide filled with real world practical examples. - Dr. PKS Prakash Dr. Avishek Pal
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  • Modern R Programming Cookbook : Recipes for emerging developers in R programming and data scientists to simplify their R programming capabilities - Jaynal Abedin
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  • Data Analysis with IBM SPSS Statistics : Master data management & analysis techniques with IBM SPSS Statistics 24 - Anthony J. Babinec Kenneth Stehlik-Barry
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  • Java Data Analysis : Get the most out of the popular Java libraries and tools to perform efficient data analysis - John R. Hubbard
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  • R Data Analysis Cookbook - Second Edition : Over 80 recipes to help you breeze through your data analysis projects using R - Kuntal Ganguly
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  • Learning Ceph - Second Edition : Implement and manage your software-defined, massively scalable storage system - Anthony D'Atri
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    Anthony D'Atri, Vaibhav Bhembre and Karan Singh
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  • Matplotlib 2.x By Example : Unlock deeper insights into visualization in form of 2D and 3D graphs using Matplotlib 2.x - Allen Yu
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  • MATLAB for Machine Learning : Extract patterns and knowledge from your data in easy way using MATLAB - Giuseppe Ciaburro
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  • Learning Spark SQL : Design, implement, and deliver successful streaming applications, machine learning pipelines and graph applications using Spark SQL API - Aurobindo Sarkar
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  • Mastering Predictive Analytics with R - Second Edition : Master the craft of predictive modeling in R by developing strategy, intuition, and a solid foundation in essential concepts - Rui Miguel Forte James D. Miller
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  • Big Data Analytics with Java : Learn the basics of analytics on big data using Java, machine learning and other big data tools - Rajat Mehta
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  • Learning Informatica PowerCenter 10.x - Second Edition : Harness the power and simplicity of Informatica PowerCenter 10.x to build and manage efficient data management solutions - Rahul Malewar
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  • SQL Server on Linux : Bring the performance and security of SQL Server to Linux - Jasmin Azemovi?
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  • Mastering Apache Storm : Real-time big data streaming using Kafka, Hbase and Redis - Ankit Jain
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    Ankit Jain
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  • Building Data Streaming Applications with Apache Kafka : Design and administer fast, reliable enterprise messaging systems with Apache Kafka - Chanchal Singh Manish Kumar
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    Chanchal Singh Manish Kumar
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  • Mastering Machine Learning with scikit-learn : Use scikit-learn to apply machine learning to real-world problems - Gavin Hackeling
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  • Practical Predictive Analytics : Make sense of your data and predict the unpredictable - Ralph Winters
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  • SQL Server 2017 Integration Services Cookbook : Harness the power of SQL Server 2017 Integration Services to build your data integration solutions with ease - Christian Cote
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  • QlikView for Developers : Drive value and insight by developing business critical applications with QlikView 12 - Barry Harmsen Miguel Ángel García
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  • Learning pandas - Second Edition : Get to grips with pandas—a versatile and high-performance Python library for data manipulation, analysis, and discovery - Michael Heydt
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  • Learning Elasticsearch : Store, search, and analyze your data with ease using Elasticsearch 5.x - Abhishek Andhavarapu
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  • Frank Kane's Taming Big Data with Apache Spark and Python : Frank Kane's hands-on Spark training course, based on his bestselling Taming Big Data with Apache Spark and Python video, now available in a book. Understand and analyze large data sets using Spark on a single system or on a cluster. - Frank Kane
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  • Learning SAP Analytics Cloud : Start making better business decisions backed by data - Riaz Ahmed
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  • Java : Data Science Made Easy - Richard M. Reese
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  • Mastering Java Machine Learning : Become an advanced practitioner with this progressive set of master classes on application-oriented machine learning - Krishna Choppella Dr. Uday Kamath
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  • Excel Tables : A Complete Guide for Creating, Using and Automating Lists and Tables - Zack Barresse
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  • HBase High Performance Cookbook : Exciting projects that will teach you how complex data can be exploited to gain maximum insights - Ruchir Choudhry
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  • Implementing Cloud Design Patterns for AWS : Create highly efficient design patterns for scalability, redundancy, and high availability in the AWS Cloud - Marcus Young
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  • PostgreSQL 9 Administration Cookbook - Second Edition : Over 150 recipes to help you run an efficient PostgreSQL database in the cloud - Simon Riggs
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  • Deep Learning with TensorFlow : Delve into neural networks, implement deep learning algorithms, and explore layers of data abstraction with the help of this comprehensive TensorFlow guide - Giancarlo Zaccone
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  • Mastering Machine Learning with R - Second Edition : Master machine learning techniques with R to deliver insights in complex projects - Cory Lesmeister
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  • 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 - Dejan Sarka
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  • Learning Quantitative Finance with R : Implement machine learning, time-series analysis, algorithmic trading and more - Prashant Vats Dr. Param Jeet
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  • PostgreSQL High Performance Cookbook : Get to know effective ways to improve PostgreSQL's performance and master query optimization, and database monitoring. - Dinesh Kumar Chitij Chauhan
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  • Mastering Spark for Data Science : Master the techniques and sophisticated analytics used to construct Spark-based solutions that scale to deliver production-grade data science products - Andrew Morgan
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  • Python Web Scraping - Second Edition : Successfully scrape data from any website with the power of Python 3.x - Richard Lawson Katharine Jarmul
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