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Scala Machine Learning Projects

You're reading from  Scala Machine Learning Projects

Product type Book
Published in Jan 2018
Publisher Packt
ISBN-13 9781788479042
Pages 470 pages
Edition 1st Edition
Languages
Concepts

Table of Contents (17) Chapters

Title Page
Packt Upsell
Contributors
Preface
1. Analyzing Insurance Severity Claims 2. Analyzing and Predicting Telecommunication Churn 3. High Frequency Bitcoin Price Prediction from Historical and Live Data 4. Population-Scale Clustering and Ethnicity Prediction 5. Topic Modeling - A Better Insight into Large-Scale Texts 6. Developing Model-based Movie Recommendation Engines 7. Options Trading Using Q-learning and Scala Play Framework 8. Clients Subscription Assessment for Bank Telemarketing using Deep Neural Networks 9. Fraud Analytics Using Autoencoders and Anomaly Detection 10. Human Activity Recognition using Recurrent Neural Networks 11. Image Classification using Convolutional Neural Networks 1. Other Books You May Enjoy Index

Contributors

About the author

Md. Rezaul Karim is a Research Scientist at Fraunhofer FIT, Germany. He is also a PhD candidate at RWTH Aachen University, Germany. Before joining FIT, he worked as a Researcher at the Insight Centre for Data Analytics, Ireland. Before that, he worked as a Lead Engineer at Samsung Electronics, Korea.

He has 9 years of R&D experience with C++, Java, R, Scala, and Python. He has published several research papers concerning bioinformatics, big data, and deep learning. He has practical working experience with Spark, Zeppelin, Hadoop, Keras, Scikit-Learn, TensorFlow, DeepLearning4j, MXNet, and H2O.

 

About the reviewer

Dave Wentzel is the chief technology officer of Capax Global, a premier Microsoft consulting partner. Dave is responsible for setting the strategy and defining service offerings and capabilities for the data platform and Azure practice at Capax. He also works directly with clients to help them with their big data journeys. He is a frequent blogger and speaker on big data and data science topics.

 

Sumit Pal is a published author with Apress. He has more than 22 years of experience in software from startups to enterprises and is an independent consultant working with big data, data visualization, and data science. He builds end-to-end data-driven analytic systems.

Sumit has worked for Microsoft (SQLServer), Oracle (OLAP Kernel), and Verizon. He advises clients on their data architectures and build solutions in Spark and Scala. He has spoken at multiple conferences in North America and Europe and has developed a big data analyst training for Experfy. He has MS and BS in computer science.

 

 

 

 

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