If you enjoyed this book, you may be interested in these other books by Packt:

Big Data Analytics with SAS
David Pope

ISBN: 978-1-78829-090-6

• Configure a free version of SAS in order do hands-on exercises dealing with data management, analysis, and reporting.
• Understand the basic concepts of the SAS language which consists of the data step (for data preparation) and procedures (or PROCs) for analysis.
• Make use of the web browser based SAS Studio and iPython Jupyter Notebook interfaces for coding in the SAS, DS2, and FedSQL programming languages.
• Understand how the DS2 programming language plays an important role in Big Data preparation and analysis using SAS
• Integrate and work efficiently with Big Data platforms like Hadoop, SAP HANA, and cloud foundry based systems.

Predictive Analytics with TensorFlow
Md. Rezaul Karim

ISBN: 978-1-78839-892-3

• Get a solid and theoretical understanding of linear algebra, statistics, and probability for predictive modeling
• Develop predictive models using classification, regression, and clustering algorithms
• Develop predictive models for NLP
• Learn how to use reinforcement learning for predictive analytics
• Factorization Machines for advanced recommendation systems
• Get a hands-on understanding of deep learning architectures for advanced predictive analytics
• Learn how to use deep Neural Networks for predictive analytics
• See how to use recurrent Neural Networks for predictive analytics
• Convolutional Neural Networks for emotion recognition, image classification, and sentiment analysis