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  • FinTech : The Technology Driving Disruption in the Financial Services Industry - Parag Y Arjunwadkar
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  • Hands-On Automated Machine Learning : A beginner's guide to building automated machine learning systems using AutoML and Python - Sibanjan Das
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  • Matplotlib for Python Developers : Effective techniques for data visualization with Python - Aldrin Yim
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  • Solidity Programming Essentials : A beginner's guide to build smart contracts for Ethereum and blockchain - Ritesh Modi
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  • TensorFlow for Deep Learning : From Linear Regression to Reinforcement Learning - Bharath Ramsundar
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  • SQL Server 2017 Machine Learning Services with R : Data exploration, modeling, and advanced analytics - Julie Koesmarno
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    Julie Koesmarno and Toma?æ Ka?°trun Kaštrun
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  • Ethereum Smart Contract Development : Build blockchain-based decentralized applications using solidity - Mayukh Mukhopadhyay
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  • Deep Learning with PyTorch : A practical approach to building neural network models using PyTorch - Vishnu Subramanian
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  • The Model Thinker : What You Need to Know to Make Data Work for You - Scott E. Page
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  • Introduction to Machine Learning with R : Rigorous Mathematical Analysis - Scott V. Burger
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  • Opinion Analysis For Online Reviews : Dual or Dueling?: A World Scientific Reference(In 3 Volumes) - Yuming Lin
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  • Querying And Mining Uncertain Data Streams : East China Normal University Scientific Reports : Book 3 - Cheqing Jin
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  • Mastering Blockchain : Distributed ledger technology, decentralization, and smart contracts explained - Imran Bashir
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  • Modern Big Data Processing with Hadoop : Expert techniques for architecting end-to-end big data solutions to get valuable insights - Prashant Shindgikar
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    Prashant Shindgikar, Manoj R Patil and V Naresh Kumar
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  • Cloud Analytics with Google Cloud Platform : An end-to-end guide to processing and analyzing big data using Google Cloud Platform - Sanket Thodge
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  • PostgreSQL 10 Administration Cookbook : Over 165 effective recipes for database management and maintenance in PostgreSQL 10 - Gianni Ciolli
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    Gianni Ciolli and Simon Riggs
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  • Artificial Intelligence for Big Data : Complete guide to automating Big Data solutions using Artificial Intelligence techniques - Anand Deshpande
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    Anand Deshpande, Manish Kumar, Albenzo Coletta and Giancarlo Zaccone
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  • Visualizing Streaming Data : Interactive Analysis Beyond Static Limits - Anthony Aragues
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  • Splunk Operational Intelligence Cookbook : Over 80 recipes for transforming your data into business-critical insights using Splunk - Josh Diakun
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    Josh Diakun, Derek Mock and Paul R. Johnson
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  • Google Cloud AI Services Quick Start Guide : Build intelligent applications with Google Cloud AI services - Arvind Ravulavaru
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  • SAS for Finance : Forecasting and data analysis techniques with real-world examples to build powerful financial models - Harish Gulati
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  • Big Data Analytics with Hadoop 3 : Build highly effective analytics solutions to gain valuable insight into your big data - Sridhar Alla
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  • Implementing Oracle API Platform Cloud Service : Design, deploy, and manage your APIs in Oracle's new API Platform - Andrew Bell
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  • Deep Learning Quick Reference : Useful hacks for training and optimizing deep neural networks with TensorFlow and Keras - Mike Bernico
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  • Advances in Imaging and Electron Physics : Advances in Imaging and Electron Physics : Book 205 - Peter W. Hawkes
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    Peter W. Hawkes
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  • Mastering Qlik Sense : Expert techniques on self-service data analytics to create enterprise ready Business Intelligence solutions - Juan Ignacio Vitantonio
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    Juan Ignacio Vitantonio, Martin Mahler, Ralf Becher, Karl Pover and David Alcobero
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  • Feature Engineering for Machine Learning : Principles and Techniques for Data Scientists - Alice Zheng
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    Alice Zheng and Amanda Casari
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  • Learning AWK Programming : A fast, and simple cutting-edge utility for text-processing on the Unix-like environment - Shiwang Kalkhanda
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    Shiwang Kalkhanda
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  • Data Analysis with R, Second Edition : A comprehensive guide to manipulating, analyzing, and visualizing data in R - Tony Fischetti
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    Tony Fischetti
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  • Splunk 7 Essentials : Demystify machine data by leveraging datasets, building reports, and sharing powerful insights - J-P Contreras
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    J-P Contreras, Erickson Delgado and Betsy Page Sigman
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  • Implementing Splunk 7, Third Edition : Effective operational intelligence to transform machine-generated data into valuable business insight - James D. Miller
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    James D. Miller
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  • Seven NoSQL Databases in a Week : Get up and running with the fundamentals and functionalities of seven of the most popular NoSQL databases - Sudarshan Kadambi
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    Sudarshan Kadambi and Xun (Brian) Wu
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  • Mastering Geospatial Analysis with Python : Explore GIS processing and learn to work with GeoDjango, CARTOframes and MapboxGL-Jupyter - Silas Toms
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    Silas Toms, Eric van Rees and Paul Crickard
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  • Hands-On Machine Learning on Google Cloud Platform : Implementing smart and efficient analytics using Cloud ML Engine - Giuseppe Ciaburro
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    Giuseppe Ciaburro, V Kishore Ayyadevara, Alexis Perrier, Bryan Fry and Antonio Gulli
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  • Jupyter Cookbook : Over 75 recipes to perform interactive computing across Python, R, Scala, Spark, JavaScript, and more - Toomey
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    Toomey, Nikhil Borkar, Nikhil Akki and Juan Tomás Oliva Ramos
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  • Java for Data Science : Examine the techniques and Java tools supporting the growing field of data science - Richard M. Reese
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    Richard M. Reese, Jennifer L. Reese and Shilpi Saxena
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  • Thoughtful Machine Learning with Python : A Test-Driven Approach - Matthew Kirk
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    Matthew Kirk
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  • Outside Insight : Navigating a World Drowning in Data - Jorn Lyseggen
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    Jorn Lyseggen
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  • Effective Business Intelligence with QuickSight : Boost your business IQ with Amazon QuickSight - Rajesh Nadipalli
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    Rajesh Nadipalli
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  • Big Data Visualization : Bring scalability and dynamics to your Big Data visualization - James D. Miller
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    James D. Miller and Dalong Chen
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  • Mastering Blockchain : Deeper insights into decentralization, cryptography, Bitcoin, and popular Blockchain frameworks - Imran Bashir
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    Imran Bashir
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  • Learning Quantitative Finance with R : Implement machine learning, time-series analysis, algorithmic trading and more - Dr. Param Jeet
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  • Python Data Analysis, Second Edition : Data manipulation and complex data analysis with Python - Armando Fandango
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  • Learning Apache Spark 2 : A beginner's guide to real-time Big Data processing using the Apache Spark framework - Muhammad Asif Abbasi
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  • Java Data Science Cookbook : Explore the power of MLlib, DL4j, Weka, and more - Rushdi Shams
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  • PostgreSQL High Performance Cookbook : Mastering query optimization, database monitoring, and performance-tuning for PostgreSQL - Dinesh Kumar
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  • Mastering Spark for Data Science : Lightning fast and scalable data science solutions - Andrew Morgan
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  • Distributed Systems : Concurrency and Consistency - Matthieu Perrin
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  • Mastering Azure Analytics : Architecting in the Cloud with Azure Data Lake, HDInsight, and Spark - Zoiner Tejada
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  • Python : Data Analytics and Visualization - Phuong Vo.T.H
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  • TensorFlow Machine Learning Cookbook : Over 60 practical recipes to help you master Google's TensorFlow machine learning library - Nick McClure
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  • Learning Kibana 5.0 : Exploit the visualization capabilities of Kibana and build powerful interactive dashboards - Bahaaldine Azarmi
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  • Machine Learning with Spark : Develop intelligent, distributed machine learning systems - Rajdeep Dua
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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 : Data pre-processing, analysis and visualization using R and Python - RATNADIP ADHIKARI
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  • Practical Machine Learning Cookbook : Supervised and unsupervised machine learning simplified - Atul Tripathi
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  • Deep Learning with TensorFlow : Explore neural networks with Python - Giancarlo Zaccone
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  • Learning Social Media Analytics with R : Transform data from social media platforms into actionable business insights - Raghav Bali
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  • Hadoop 2.x Administration Cookbook : Administer and maintain large Apache Hadoop clusters - Aman Singh
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