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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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  • Effective Amazon Machine Learning : Learn to leverage Amazon's powerful platform for your predictive analytics needs - Alexis Perrier
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  • Learning Apache Cassandra - Second Edition : Build a scalable, fault-tolerant and highly available data layer for your applications using Apache Cassandra - Sandeep Yarabarla
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  • Deep Learning with Keras : Get to grips with the basics of Keras to implement fast and efficient deep-learning models - Sujit Pal Antonio Gulli
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  • Machine Learning with Spark - Second Edition : Create scalable machine learning applications to power a modern data-driven business using Spark 2.x - Rajdeep Dua
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  • Python Deep Learning : Take your machine learning skills to the next level by mastering Deep Learning concepts and algorithms using Python. - Valentino Zocca
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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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  • 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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  • Mastering Machine Learning with scikit-learn : Use scikit-learn to apply machine learning to real-world problems - Gavin Hackeling
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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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  • Python Data Analysis - Second Edition : Learn how to apply powerful data analysis techniques with popular open source Python modules - Armando Fandango
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  • Learning Apache Spark 2 : Learn about the fastest-growing open source project in the world, and find out how it revolutionizes big data analytics - Muhammad Asif Abbasi
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  • Java Data Science Cookbook : Recipes to help you overcome your data science hurdles using Java - Rushdi Shams
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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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  • 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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  • 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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  • Learning Social Media Analytics with R : Tap into the realm of social media and unleash the power of analytics for data-driven insights using R - Raghav Bali
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  • Hadoop 2.x Administration Cookbook : Over 100 practical recipes to help you become an expert Hadoop administrator - Gurmukh Singh
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  • Mastering PostgreSQL 9.6 : Master the capabilities of PostgreSQL 9.6 to efficiently manage and maintain your database - Hans-Jürgen Schönig
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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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  • Python Machine Learning By Example : Take tiny steps to enter the big world of data science through this interesting guide - Yuxi (Hayden) Liu
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