
Machine learning techniques for advanced models
James D. Miller is an IBM certified expert, Master Consultant,
Application/System Architect with +35 years of applications & system design/development
experience across multiple platforms, technologies and data formats, including Big Data. His
experience includes IBM Planning Analytics, BI, Web architecture & design, systems analysis,
GUI design & testing, Data modeling, design, and development of OLAP, Client/Server, Web
& Mainframe applications and systems utilizing: Planning Analytics Workspace (PAW), IBM
Watson Analytics, Cognos BI & TM1, Framework Manager, dynaSight/ArcPlan, ASP, DHTML, XML, MS
Visual Basic, VBA, PERL, R, SPLUNK, MS SQL Server, ORACLE, etc. He has authored numerous books,
including Implementing Splunk - Second Edition; Mastering Splunk; Hands-On Machine Learning with
IBM Watson; IBM Watson Projects; Statistics for Data Science; Mastering Predictive Analytics
with R - Second Edition and others. Project areas include those with Data Analytics, Planning
Analytics, and FOPM projects, holding various roles from architect, developer, technical and
project leader.Forte Rui Miguel :
Rui Miguel Forte is currently the chief data scientist at Workable. He was born and raised in Greece and studied in the UK. He is an experienced data scientist, having over 10 years of work experience in a diverse array of industries spanning mobile marketing, health informatics, education technology, and human resources technology. His projects have included predictive modeling of user behavior in mobile marketing promotions, speaker intent identification in an intelligent tutor, information extraction techniques for job applicant resumes and fraud detection for job scams. He currently teaches R, MongoDB, and other data science technologies to graduate students in the Business Analytics MSc program at the Athens University of Economics and Business. In addition, he has lectured in a number of seminars, specialization programs, and R schools for working data science professionals in Athens. His core programming knowledge is in R and Java, and he has extensive experience working with a variety of database technologies such as Oracle, PostgreSQL, MongoDB, and HBase. He holds a Master's degree in Electrical and Electronic Engineering from Imperial College London and is currently researching machine learning applications in information extraction and natural language processing.