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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This Learning Path is your comprehensive guide to making machine data accessible across your organization using advanced dashboards. With over 80 realistic examples, you'll get several recipes to use Splunk and transform your data into business-critical insights.
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Improving Your Splunk Skills. Leverage the operational intelligence capabilities of Splunk to unlock new hidden business insights Improving Your Splunk Skills. Leverage the operational intelligence capabilities of Splunk to unlock new hidden business insights
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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.
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Hands-On Machine Learning with IBM Watson. Leverage IBM Watson to implement machine learning techniques and algorithms using Python Hands-On Machine Learning with IBM Watson. Leverage IBM Watson to implement machine learning techniques and algorithms using Python
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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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IBM Watson Projects. Eight exciting projects that put artificial intelligence into practice for optimal business performance IBM Watson Projects. Eight exciting projects that put artificial intelligence into practice for optimal business performance
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This book will help you implement Splunk 7's new services and will show you how to utilize them to quickly and efficiently process machine-generated big data. You will explore Splunk Cloud and the Machine Learning Toolkit and use them with ease throughout your organization. By the end of the book, you will have learned to implement these services i
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Implementing Splunk 7. Effective operational intelligence to transform machine-generated data into valuable business insight - Third Edition Implementing Splunk 7. Effective operational intelligence to transform machine-generated data into valuable business insight - Third Edition
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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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Statistics for Data Science. Leverage the power of statistics for Data Analysis, Classification, Regression, Machine Learning, and Neural Networks Statistics for Data Science. Leverage the power of statistics for Data Analysis, Classification, Regression, Machine Learning, and Neural Networks
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R offers a free and open source environment that is perfect for both learning and deploying predictive modeling solutions in the real world. With its constantly growing community and plethora of packages, R offers the functionality to deal with a truly vast array of problems. Updated with revamped examples and to the latest version of R, this book
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Mastering Predictive Analytics with R. Machine learning techniques for advanced models - Second Edition Mastering Predictive Analytics with R. Machine learning techniques for advanced models - Second Edition
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Uncover new approaches to big data visualization to make your analysis more effective and efficient with Big Data Visualization. Featuring in-depth coverage of big data analysis concepts together with industry-proven techniques, you?ll learn how to approach the challenge of big data visualization with confidence, ease and precision.
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Big Data Visualization. Bring scalability and dynamics to your Big Data visualization Big Data Visualization. Bring scalability and dynamics to your Big Data visualization
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Implementing Splunk. A comprehensive guide to help you transform Big Data into valuable business insights with Splunk 6.2 Implementing Splunk. A comprehensive guide to help you transform Big Data into valuable business insights with Splunk 6.2
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Mastering Splunk. Optimize your machine-generated data effectively by developing advanced analytics with Splunk Mastering Splunk. Optimize your machine-generated data effectively by developing advanced analytics with Splunk
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IBM Cognos TM1 Developer's Certification guide. Preparing for your COG-310 certification is more engaging and enjoyable with this tutorial because it takes a hands-on approach and teaches through examples. There are also self-test sections for each exam topic IBM Cognos TM1 Developer's Certification guide. Preparing for your COG-310 certification is more engaging and enjoyable with this tutorial because it takes a hands-on approach and teaches through examples. There are also self-test sections for each exam topic