Appendix 1. Other Books You May Enjoy
If you enjoyed this book, you may be interested in these other books by Packt:
Mastering Java Machine Learning Dr. Uday Kamath, Krishna Choppella
ISBN: 9781785880513
- Master key Java machine learning libraries, and what kind of problem each can solve, with theory and practical guidance.
- Explore powerful techniques in each major category of machine learning such as classification, clustering, anomaly detection, graph modeling, and text mining.
- Apply machine learning to real-world data with methodologies, processes, applications, and analysis.
- Techniques and experiments developed around the latest specializations in machine learning, such as deep learning, stream data mining, and active and semi-supervised learning.
- Build high-performing, real-time, adaptive predictive models for batch- and stream-based big data learning using the latest tools and methodologies.
- Get a deeper understanding of technologies leading towards a more powerful AI applicable in various domains such as Security, Financial Crime, Internet of Things, social networking, and so on.
Neural Network Programming with Java - Second Edition Fabio M. Soares, Alan M. F. Souza
ISBN: 9781787126053
- Develop an understanding of neural networks and how they can be fitted
- Explore the learning process of neural networks
- Build neural network applications with Java using hands-on examples
- Discover the power of neural network’s unsupervised learning process to extract the intrinsic knowledge hidden behind the data
- Apply the code generated in practical examples, including weather forecasting and pattern recognition
- Understand how to make the best choice of learning parameters to ensure you have a more effective application
- Select and split data sets into training, test, and validation, and explore validation strategies