Book Image

Scala Machine Learning Projects

Book Image

Scala Machine Learning Projects

Overview of this book

Machine learning has had a huge impact on academia and industry by turning data into actionable information. Scala has seen a steady rise in adoption over the past few years, especially in the fields of data science and analytics. This book is for data scientists, data engineers, and deep learning enthusiasts who have a background in complex numerical computing and want to know more hands-on machine learning application development. If you're well versed in machine learning concepts and want to expand your knowledge by delving into the practical implementation of these concepts using the power of Scala, then this book is what you need! Through 11 end-to-end projects, you will be acquainted with popular machine learning libraries such as Spark ML, H2O, DeepLearning4j, and MXNet. At the end, you will be able to use numerical computing and functional programming to carry out complex numerical tasks to develop, build, and deploy research or commercial projects in a production-ready environment.
Table of Contents (17 chapters)
Title Page
Packt Upsell
Contributors
Preface
Index

1000 Genomes Projects dataset description


The data from the 1000 Genomes project is a very large catalog of human genetic variants. The project aims to determine genetic variants with frequencies higher than 1% in the populations studied. The data has been made openly available and freely accessible through public data repositories to scientists worldwide. Also, the data from the 1000 Genomes project is widely used to screen variants discovered in exome data from individuals with genetic disorders and in cancer genome projects.

The genotype dataset in Variant Call Format (VCF) provides the data of human individuals (that is, samples) and their genetic variants, and in addition, the global allele frequencies as well as the ones for the super populations. The data denotes the population's region for each sample which is used for the predicted category in our approach. Specific chromosomal data (in VCF format) may have additional information denoting the super-population of the sample or the...