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Scala Machine Learning Projects

You're reading from   Scala Machine Learning Projects Build real-world machine learning and deep learning projects with Scala

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Product type Paperback
Published in Jan 2018
Publisher Packt
ISBN-13 9781788479042
Length 470 pages
Edition 1st Edition
Languages
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Author (1):
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Md. Rezaul Karim Md. Rezaul Karim
Author Profile Icon Md. Rezaul Karim
Md. Rezaul Karim
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Table of Contents (13) Chapters Close

Preface 1. Analyzing Insurance Severity Claims FREE CHAPTER 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 12. Other Books You May Enjoy

Population scale clustering and geographic ethnicity

Next-generation genome sequencing (NGS) reduces overhead and time for genomic sequencing, leading to big data production in an unprecedented way. In contrast, analyzing this large-scale data is computationally expensive and increasingly becomes the key bottleneck. This increase in NGS data in terms of number of samples overall and features per sample demands solutions for massively parallel data processing, which imposes extraordinary challenges on machine learning solutions and bioinformatics approaches. The use of genomic information in medical practice requires efficient analytical methodologies to cope with data from thousands of individuals and millions of their variants.

One of the most important tasks is the analysis of genomic profiles to attribute individuals to specific ethnic populations, or the analysis of nucleotide...

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