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.
James D. Miller - ebooki
Tytuły autora: James D. Miller dostępne w księgarni Helion
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A practical guide on Machine learning with IBM cloud to act as a solid yet concise reference for the readers. You will learn about the role of data representation and feature extraction in machine learning. This book will help you learn how to use the IBM Cloud and Watson Machine learning service to develop real-world machine learning solutions.-
- PDF + ePub + Mobi pkt
(107,10 zł najniższa cena z 30 dni)
29.90 zł
119.00 zł(-75%) -
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IBM Watson Projects demonstrate projects focused on cognitive computing & analytical capabilities of IBM Watson. You will explore designing smart business solutions and understand the effectiveness of a supply chain using projects including healthcare dialog system, sentimental analysis on social media, personalized recommendation systems and more.
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- PDF + ePub + Mobi pkt
(125,10 zł najniższa cena z 30 dni)
29.90 zł
139.00 zł(-78%) -
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Statistics is an absolute must prerequisite for any task in the area of data science. This is also the most feared hindrance for developers to entering in the data science field. This book will start off with simple statistics and then move on to statistical methods that are used in data science algorithms. The R programs for the statistical comput
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- PDF + ePub + Mobi pkt
(107,10 zł najniższa cena z 30 dni)
29.90 zł
119.00 zł(-75%) -
