This IBM Predictive Modeling training course provides an overview of how to use IBM SPSS Modeler to predict a target field that describes numeric values. Students will be exposed to rule induction models such as CHAID and CR Tree. They will also be introduced to traditional statistical models such as Linear Regression. Students are introduced to machine learning models, such as Neural Networks. Business use case examples include: predicting the length of subscription for newspapers, telecommunication, and job length, as well as predicting insurance claim amounts.
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This 0A079G: Introduction to Machine Learning Models Using IBM SPSS Modeler v18.2 course provides an introduction to supervised models, unsupervised models, and association models. This is an application-oriented course and examples include predicting whether customers cancel their subscription, predicting property values, segment customers based on usage, and market basket analysis.
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This 0A069G: IBM SPSS Modeler Foundations v18.2 course provides the foundations of using IBM SPSS Modeler and introduces the participant to data science. The principles and practice of data science are illustrated using the CRISP-DM methodology. The course provides training in the basics of how to import, explore, and prepare data with IBM SPSS Modeler v18.2, and introduces the student to modeling.
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This TV384G: IBM Agent Builder 6.3.4 course teaches you how to use the IBM Agent Builder software to create, modify, debug, and package agents for use with IBM Performance Management and IBM Tivoli Monitoring products. You create agents that monitor many different data sources. You learn to mix, match, and manipulate monitored data to create custom data points to monitor. You also learn to add custom components specific to the different IBM monitoring environments. IBM Agent Builder can create custom agents for both the IBM Tivoli Monitoring 6.x and IBM Performance Management 8.x on-premises and SaaS environments.
This course is applicable to students from either environment, and a single class might have students from each environment.
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This TX318G: IBM Workload Scheduler 9.4 Administration course teaches the administrative functions necessary to plan, install, configure, maintain, and troubleshoot an IBM Workload Scheduler 9.4 network. This course includes an in-depth look at designing an IBM Workload Scheduler network architecture, background processes in Workload Scheduler, workstation and network configuration options, workload production cycle and processing, effective use of Workload Scheduler security, and techniques for Identifying and resolving common problems.
Hands-on lab exercises include planning a network, defining workstations and domains, and installing and configuring Workload Scheduler components.
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In this W7069G: IBM Watson OpenScale Methodology training course, uou will learn how Watson OpenScale lets business analysts, data scientists, and developers build monitors for artificial intelligence (AI) models to manage risks. You will understand how to use Watson OpenScale to build monitors for quality, fairness, and drift, and how monitors impact business KPIs. You will also learn how monitoring for unwanted biases and viewing explanations of predictions helps provide business stakeholders confidence in the AI being launched into production.
Note: This course contains the same topics as 6X240G IBM Watson OpenScale on IBM Cloud Pak for Data WBT.
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This ZZ930G: InfoSphere MDM Physical Domains course is designed for anyone who wants to get an understanding of the Data Domains for the InfoSphere Master Data Management Physical Module. This course takes a comprehensive look at the three core data domains of InfoSphere MDM: Party, Account, and Product. For each of the domains spanned by InfoSphere MDM, participants will be exposed to the data model, services, and rules associated with the main entities of that domain. Heavy emphasis is put on exercises and activities so that the participants can apply the knowledge that they learn after course conclusion.
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This 0A039G: Advanced Machine Learning Models Using IBM SPSS Modeler (V18.2) course presents advanced models available in IBM SPSS Modeler. The participant is first introduced to a technique named PCA/Factor, to reduce the number of fields to a number of core factors, referred to as components or factors. The next topics focus on supervised models, including Support Vector Machines, Random Trees, and XGBoost. Methods are reviewed on how to analyze text data, combine individual models into a single model, and how to enhance the power of IBM SPSS Modeler by adding external models, developed in Python or R, to the Modeling palette.
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The WB402G: Developing Rule Solutions in IBM Operational Decision Manager course begins with an overview of Operational Decision Manager, which is composed of two main environments: Decision Server for technical users and Decision Center for business users. The course outlines the collaboration between development and business teams during project development.
Through instructor-led presentations and hands-on lab exercises, you learn about the core features of Decision Server, which is the primary working environment for developers. You design decision services and work with the object models that are required to author and execute rule artifacts. You gain experience with deployment and execution, and work extensively with Rule Execution Server. In addition, you become familiar with rule authoring so that you can support business users to set up and customize the rule authoring and validation environments. You also learn how to use Operational Decision Manager features to support decision governance.
The lab environment for this course uses Windows Server 2012 R2 Standard Edition.
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In this course, you will customize IBM Case Manager Client without using much code. In an IBM Case Manager system, you will create pages with custom layout and implement new actions by configuring buttons and menu items. You will use the Calendar widget to track case events and a Script Adapter widget to transform the data. You will learn how to wire two widgets together to establish communication, customize views for case properties including business objects, specify viewers for documents, and implement External Data Services to create dependent choice lists.
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Your company wants to automate records declaration for your IBM Enterprise Records system. In this course, you learn to configure automatic record declaration using two different methods: event subscriptions and workflow.
You work with a fully functioning IBM Enterprise Records system to practice the skills required for automating record declaration.
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This course enables you to perform everyday tasks using the AIX operating system. Learn to perform everyday tasks using the AIX operating system.
This course provides lectures and hands on labs in an instructor lead course environment, either in a face-to-face classroom or in a live virtual classroom environment (ILO – Instructor Led Online). The lab images are using the AIX 7.2 operating system.
