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Audiobooks > Non-Fiction > Computing & I.T. > Databases > Data Capture & Analysis
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Data Capture & Analysis

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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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  • Deep Learning : A Practitioner's Approach - Josh Patterson
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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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  • Principles of Data Wrangling : Practical Techniques for Data Preparation - Tye Rattenbury
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  • Practical Data Science Cookbook - Second Edition : Over 85 recipes to help you complete real-world data science projects in R and Python - Prabhanjan Tattar
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  • Practical Predictive Analytics : Make sense of your data and predict the unpredictable - Ralph Winters
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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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  • Fundamentals of Deep Learning : Designing Next-Generation Machine Intelligence Algorithms - Nikhil Buduma
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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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  • Mastering PostGIS : Write efficient GIS applications using PostGIS - from data creation to data consumption - Dominik Mikiewicz
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  • PostgreSQL Administration Cookbook, 9.5/9.6 Edition : Over 150 recipes to help you administer your PostgreSQL database more efficiently - Simon Riggs
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  • Mastering Java for Data Science : Use Java to create a diverse range of Data Science applications and bring Data Science into production - Alexey Grigorev
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  • Building Blockchain Projects : Develop real-time practical DApps using Ethereum and JavaScript - Narayan Prusty
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  • Apache Spark 2.x Cookbook : Over 70 recipes to help you use Apache Spark as your single big data computing platform and master its libraries - Rishi Yadav
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  • Data Lake for Enterprises : Lambda Architecture for building enterprise data systems - Tomcy John
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    Tomcy John and Pankaj Misra
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  • Python : End-to-end Data Analysis - Phuong Vothihong
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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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    Giancarlo Zaccone, Md. Rezaul Karim and Ahmed Menshawy
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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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  • 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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    Tom Hope, Yehezkel S. Resheff and Itay Lieder
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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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  • Moving Hadoop to the Cloud : Harnessing Cloud Features and Flexibility for Hadoop Clusters - Bill Havanki
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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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