Karim Scala Machine Learning Projects

Build real-world machine learning and deep learning projects with Scala
1. Auflage 2018
ISBN: 978-1-78847-147-3
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 470 Seiten

No detailed description available for "Scala Machine Learning Projects".

Autoren/Hrsg.

Karim, Md. Rezaul

Fachgebiete

• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Spracherkennung, Sprachverarbeitung

Inhaltsverzeichnis

Table of Contents - Analyzing Insurance Severity Claim
- Analyzing Outgoing Customers through Churn Prediction
- High Frequency Bitcoin Price Prediction from Historical and Live Data
- Population Scale Clustering and Ethnicity Analysis

- Topic Modelling in NLP: A Better Insight to Large-Scale Texts
- Model-based Movie Recommendation Engine
- Deep Reinforcement Learning using Markov Decision Process (MDP)

- Using Deep Belief Networks in Bank Marketing
- Fraud Analytics using Autoencoders and Anomaly Detection

- Human Activity Recognition using RNN

- Image Classification using CNN

Über Autor(innen)

Karim Md. Rezaul:

Md. Rezaul Karim is a researcher, author, and data science enthusiast with a strong computer science background, coupled with 10 years of research and development experience in machine learning, deep learning, and data mining algorithms to solve emerging bioinformatics research problems by making them explainable. He is passionate about applied machine learning, knowledge graphs, and explainable artificial intelligence (XAI). Currently, he is working as 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. Previously, he worked as a lead software engineer at Samsung Electronics, Korea.