ibm watson

IBM Watson Training

IBM Watson combines the Artificial Intelligence (AI) and Analytical software for performing optimal performance

Date : Oct 15, 2018 - Oct 17, 2018

Time : 9 AM to 2 PM CDT (7:30 PM to 12: 30 AM IST)

Guaranteed to Run

Duration: 3 Days

Course fee:$449.00 (₹32523.31)

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Additional Information

Day 1

1. Quick Start
– How to Login
– Main Dashboard
– About Account Details
– Upgrading Option
– Shortcut Panel Bar

2. Introducing Content Analytics Architecture
– Primary Components
– Crawlers
– Document Processor
– Indexers and Search Engine
– The Miners
– Admin Console

3. Details on Important Terminologies
– Difference between Structured and Unstructured
– Text Analytics
– Searching
– Discovery and Mining
– Collections and Facets
– Frequency and Correlation
– Deviation

4. Identification of the Use-Cases
– Definition of Use-Case
– Simple Example of Use-Case

Day 2

1. Using Watson Analytics for Designing Solutions
– Data Consideration
– Introducing Content Analytics Data Model
– Programming Interface
– Concept of Programming in Watson Analytics

2. Introduction to Content Analysis
– Basic concepts of Content Analysis
– Difficulties with Textual Analysis

3. Using Watson Analytics for Cycle of Analysis

4. Working with Text Data

5. Assembling and Watson Analytics Predict
– Creation of Watson Analytics Prediction
– Assembling Concepts
– Use of Templates
– Concept of Versioning and Assemble

Day 3

1. Customization and Extension Details
– Watson Customization
– Working with Data
– Watson Extension
– Data Quality
– Watson Data Metrics
– Working with IBM SPSS
– Missing Value Handlers

2. Enterprise Version
– Watson Knowledge Information
– Data Interpretation
– Data Classification
– Data Enrichment
– Normalization and Modelling
– Collections
– Watson Object Management
– Documentation Naming
– Testing Strategy
– Enterprise Vision
– Roadmap for Enterprise Watson
– Watson Upgradation Terminology
– Working with Modeler Streaming

3. Value Addition with Integration
– Watson Professional
– Introducing Available Space
– Using Administration
– Upgrading Related Products
– Conversation
– Data Source Connection

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