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
