Md. Rezaul Karim

Scala Machine Learning Projects (eBook, ePUB)

Build real-world machine learning and deep learning projects with Scala

• Format: ePub

Produktbeschreibung

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.

Produktdetails

• Verlag: Packt Publishing
• Seitenzahl: 470
• Erscheinungstermin: 31. Januar 2018
• Englisch
• ISBN-13: 9781788471473
• Artikelnr.: 52463728

Autorenporträt

Md. Rezaul Karim is a Research Scientist at Fraunhofer FIT, Germany. He is also a PhD candidate at RWTH Aachen University, Aachen, Germany. He holds a BSc and an MSc degree in Computer Science. Before joining Fraunhofer FIT, he worked as a Researcher at Insight Centre for Data Analytics, Ireland. Before this, he worked as a Lead Engineer at Samsung Electronics' distributed R&D Institutes in Korea, India, Turkey, and Bangladesh. Previously, he has worked as a Research Assistant at the database lab, Kyung Hee University, Korea. He also worked as an R&D engineer with BMTech21 Worldwide, Korea. Even before this, he worked as a Software Engineer with i2SoftTechnology, Dhaka, Bangladesh. He has more than 8 years of experience in the area of research and development with solid understanding of algorithms and data structures in C, C++, Java, Scala, R, and Python. He has published several books, articles, and research papers concerning big data and virtualization technologies, such as Spark, Kafka, DC/OS, Docker, Mesos, Zeppelin, Hadoop, and MapReduce. He is also equally competent with deep learning technologies such as TensorFlow, DeepLearning4j, and H2O. His research interests include Machine Learning, Deep Learning, Semantic Web, Linked Data, Big Data, and Bioinformatics. Also, he is the author of the following book titles: . Large-Scale Machine Learning with Spark (Packt Publishing Ltd.) . Deep Learning with TensorFlow (Packt Publishing Ltd.) . Scala and Spark for Big Data Analytics (Packt Publishing Ltd.)