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eBooks > Non-Fiction > Computing & I.T. > Databases > Data Capture & Analysis
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  • Deep Learning with TensorFlow : Explore neural networks with Python - Giancarlo Zaccone
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  • Machine Learning with Spark : Develop intelligent, distributed machine learning systems - Rajdeep Dua
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  • Building Data Streaming Applications with Apache Kafka : Design, develop and streamline applications using Apache Kafka, Storm, Heron and Spark - Manish Kumar
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  • Mastering Machine Learning with scikit-learn : Apply effective learning algorithms to real-world problems using scikit-learn - Gavin Hackeling
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  • Statistics for Machine Learning : Techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R - Pratap Dangeti
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  • Scala and Spark for Big Data Analytics : Explore the concepts of functional programming, data streaming, and machine learning - Md. Rezaul Karim
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  • Mastering Apache Spark 2.x : Advanced techniques in complex Big Data processing, streaming analytics and machine learning - Romeo Kienzler
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  • Machine Learning Algorithms : A reference guide to popular algorithms for data science and machine learning - Giuseppe Bonaccorso
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  • Apache Spark 2.x for Java Developers : Explore big data at scale using Apache Spark 2.x Java APIs - Sumit Kumar
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  • Deep Learning : A Practitioner's Approach - Josh Patterson
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  • Python Social Media Analytics : Analyze and visualize data from Twitter, YouTube, GitHub, and more - Michal Krystyanczuk
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  • Hands-On Data Science and Python Machine Learning : Perform data mining and machine learning efficiently using Python and Spark - Frank Kane
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    Frank Kane
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    Jalaj Thanaki
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  • Hands-On Deep Learning with TensorFlow : Uncover what is underneath your data! - Danielle Van Boxel
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    Danielle Van Boxel
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  • Advances in Imaging and Electron Physics : Advances in Imaging and Electron Physics : Book 201 - Peter W. Hawkes
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  • Agile Data Science 2.0 : Building Full-Stack Data Analytics Applications with Spark - Russell Jurney
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    Russell Jurney
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  • Advanced Analytics with Spark : Patterns for Learning from Data at Scale - Sean Owen
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    Sean Owen, Josh Wills, Sandy Ryza and Uri Laserson
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  • Practical Time Series Analysis : Master Time Series Data Processing, Visualization, and Modeling using Python - PKS Prakash
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    PKS Prakash and Avishek Pal
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  • Data Analysis with IBM SPSS Statistics : Implementing data modeling, descriptive statistics and ANOVA - James C. Mott
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  • Java Data Analysis : Data mining, big data analysis, NoSQL, and data visualization - John R. Hubbard
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    John R. Hubbard
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    Kuntal Ganguly, Davor Lozi?, Mzabalazo Z. Ngwenya, Andrew Bauman and Viswa Viswanathan
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    Ted Dunning and Ellen Friedman
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