IBM Watson Discovery Fundamentals

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  • Study type: Online
  • Starts: Anytime
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Course Description

Discover the IBM Watson Discovery service. This service can be used to ingest and index data sets of all sizes. Automatically enrich your data with IBM Watson's advanced Natural Language Processing (NLP), Machine Learning (ML), and Artificial Intelligence (AI) technology. Give your developers, data scientists, and business users insight into your data like Keyword Extraction, Sentiment Analysis, Concept Tagging, Category Classification, Semantic Role Extraction, Emotion Analysis, Entity Extraction, and Relation Extraction. IBM Watson Discovery can even be taught your domain-specific business language by integrating with IBM Watson Knowledge Studio (not covered in this course).

This course is intended for business and technical users who want to learn more about the cognitive capabilities of IBM Watson Discovery service. This is a high-level view of the tooling and technology that make up IBM Watson Discovery. After taking this course you will gain a better understanding of the types of enrichments that can be applied to your dataset and how to use the IBM Watson Discovery user interface to explore your data.

Who this course is for:

  • Technical professionals interested in IBM Watson Discovery
  • Business professionals that want to learn about the capabilities of IBM Watson Discovery

Instructor

IBM Watson Consultant
  • 4.2 Instructor Rating
  • 9 Reviews
  • 41 Students
  • 1 Course

I'm a technical consultant with 14 years of software industry experience and over 10 years of experience working with IBM products including the IBM Watson family.

I currently work as a contractor for IBM Watson projects at a US government agency. I worked directly for IBM for about 7 years in the IBM Watson Group as a Technical Lead. In this position, I worked with IBM Watson services including IBM Watson Discovery, IBM Watson Explorer, and other IBM Cloud Watson services.

My primary focus is in search, AI, and cloud technology.

Expected Outcomes

  1. What IBM Watson Discovery is and its capabilities How to use the Watson Discovery Service user interface How you can leverage Discovery's Natural Language Processing (NLP) and Artificial Intelligence (AI) capabilities How to explore data collections including the default Watson News Collection and a custom data set How to ingest data into IBM Watson Discovery How to automatically enrich the data within your collection How to explore and analyze IBM Watson Discovery data Learn natural language and Watson Discovery query syntax Course content 7 sections • 19 lectures • 1h 30m total length Expand all sections Couse Introduction 3 lectures • 22min Introduction to the Course Preview 02:34 IBM Watson Discovery Service Overview 09:33 Watson Discovery Demos Preview 09:57 Creating an IBM Watson Discovery Instance 2 lectures • 5min Creating an IBM Cloud Account 01:45 How to Create an IBM Watson Discovery Service Instance on IBM Cloud 02:51 Exploring the Interface and the Watson Discovery News Collection 2 lectures • 15min Exploring the Watson Discovery News Collection 09:58 Using the Query Builder 05:29 Ingesting and Exploring the Sample Data Set 1 lecture • 6min Create a Data Collection in Watson Discovery 06:11 Exploring the Sample Data Set 6 lectures • 23min Exploring Some of the Recommended Queries 05:03 Querying Using Natural Language 04:30 Querying Using the Discovery Query Language 06:06 Using a Term Aggregation Query 03:04 Applying Filters to Your Query 01:15 Bringing it All Together 03:30 Advanced Content (developers and advanced users) 4 lectures • 18min Exploring the Query Language Documentation 10:34 The Watson Discovery REST API 03:13 Using Postman 03:24 Watson Developer Cloud SDKs 01:08 Course Conclusion 1 lecture • 1min Conclusion 00:14 Requirements No experience with IBM Watson is necessary A computer with a modern web browser An email address to create a free IBM Cloud Account Description Discover the IBM Watson Discovery service. This service can be used to ingest and index data sets of all sizes. Automatically enrich your data with IBM Watson's advanced Natural Language Processing (NLP), Machine Learning (ML), and Artificial Intelligence (AI) technology. Give your developers, data scientists, and business users insight into your data like Keyword Extraction, Sentiment Analysis, Concept Tagging, Category Classification, Semantic Role Extraction, Emotion Analysis, Entity Extraction, and Relation Extraction. IBM Watson Discovery can even be taught your domain-specific business language by integrating with IBM Watson Knowledge Studio (not covered in this course). This course is intended for business and technical users who want to learn more about the cognitive capabilities of IBM Watson Discovery service. This is a high-level view of the tooling and technology that make up IBM Watson Discovery. After taking this course you will gain a better understanding of the types of enrichments that can be applied to your dataset and how to use the IBM Watson Discovery user interface to explore your data. Who this course is for: Technical professionals interested in IBM Watson Discovery Business professionals that want to learn about the capabilities of IBM Watson Discovery Show more Show less Instructor Johnathan Ward IBM Watson Consultant 4.2 Instructor Rating 9 Reviews 41 Students 1 Course I'm a technical consultant with 14 years of software industry experience and over 10 years of experience working with IBM products including the IBM Watson family. I currently work as a contractor for IBM Watson projects at a US government agency. I worked directly for IBM for about 7 years in the IBM Watson Group as a Technical Lead. In this position, I worked with IBM Watson services including IBM Watson Discovery, IBM Watson Explorer, and other IBM Cloud Watson services. My primary focus is in search, AI, and cloud technology. Show more Show less Udemy Business Teach on Udemy Get the app About us Contact us Careers Blog Help and Support Affiliate Impressum Kontakt Terms Privacy policy Cookie settings Sitemap © 2021 Udemy, Inc. window.handleCSSToggleButtonClick = function (event) { var target = event.currentTarget; var cssToggleId = target && target.dataset && target.dataset.cssToggleId; var input = cssToggleId && document.getElementById(cssToggleId); if (input) { if (input.dataset.type === 'checkbox') { input.dataset.checked = input.dataset.checked ? '' : 'checked'; } else { input.dataset.checked = input.dataset.allowToggle && input.dataset.checked ? '' : 'checked'; var radios = document.querySelectorAll('[name="' + input.dataset.name + '"]'); for (var i = 0; i (function(){window['__CF$cv$params']={r:'677a03f26b4940b9',m:'9a463605677f1e72b9269310b9dc65dad8237c7a-1627767945-1800-AY3CZWC371T4CQmpjA6yCuErFNEeRKSBVPHxev1ppibEq5bqLigp+vI5hWsTwVKcO6mc2U6wWcuA0zXJIYQaTPfCf/ZEk0n3aPUFsTEjlKfGppqF08wQ5ymeUL5DSVZESCUAQ97qQLMQDNMBQGMlDq3sfYrsO4GFWRVRyHpbEQhA',s:[0xd0f19ee555,0x513cdee49b],}})();
  2. How to use the Watson Discovery Service user interface How you can leverage Discovery's Natural Language Processing (NLP) and Artificial Intelligence (AI) capabilities How to explore data collections including the default Watson News Collection and a custom data set How to ingest data into IBM Watson Discovery How to automatically enrich the data within your collection How to explore and analyze IBM Watson Discovery data Learn natural language and Watson Discovery query syntax Course content 7 sections • 19 lectures • 1h 30m total length Expand all sections Couse Introduction 3 lectures • 22min Introduction to the Course Preview 02:34 IBM Watson Discovery Service Overview 09:33 Watson Discovery Demos Preview 09:57 Creating an IBM Watson Discovery Instance 2 lectures • 5min Creating an IBM Cloud Account 01:45 How to Create an IBM Watson Discovery Service Instance on IBM Cloud 02:51 Exploring the Interface and the Watson Discovery News Collection 2 lectures • 15min Exploring the Watson Discovery News Collection 09:58 Using the Query Builder 05:29 Ingesting and Exploring the Sample Data Set 1 lecture • 6min Create a Data Collection in Watson Discovery 06:11 Exploring the Sample Data Set 6 lectures • 23min Exploring Some of the Recommended Queries 05:03 Querying Using Natural Language 04:30 Querying Using the Discovery Query Language 06:06 Using a Term Aggregation Query 03:04 Applying Filters to Your Query 01:15 Bringing it All Together 03:30 Advanced Content (developers and advanced users) 4 lectures • 18min Exploring the Query Language Documentation 10:34 The Watson Discovery REST API 03:13 Using Postman 03:24 Watson Developer Cloud SDKs 01:08 Course Conclusion 1 lecture • 1min Conclusion 00:14 Requirements No experience with IBM Watson is necessary A computer with a modern web browser An email address to create a free IBM Cloud Account Description Discover the IBM Watson Discovery service. This service can be used to ingest and index data sets of all sizes. Automatically enrich your data with IBM Watson's advanced Natural Language Processing (NLP), Machine Learning (ML), and Artificial Intelligence (AI) technology. Give your developers, data scientists, and business users insight into your data like Keyword Extraction, Sentiment Analysis, Concept Tagging, Category Classification, Semantic Role Extraction, Emotion Analysis, Entity Extraction, and Relation Extraction. IBM Watson Discovery can even be taught your domain-specific business language by integrating with IBM Watson Knowledge Studio (not covered in this course). This course is intended for business and technical users who want to learn more about the cognitive capabilities of IBM Watson Discovery service. This is a high-level view of the tooling and technology that make up IBM Watson Discovery. After taking this course you will gain a better understanding of the types of enrichments that can be applied to your dataset and how to use the IBM Watson Discovery user interface to explore your data. Who this course is for: Technical professionals interested in IBM Watson Discovery Business professionals that want to learn about the capabilities of IBM Watson Discovery Show more Show less Instructor Johnathan Ward IBM Watson Consultant 4.2 Instructor Rating 9 Reviews 41 Students 1 Course I'm a technical consultant with 14 years of software industry experience and over 10 years of experience working with IBM products including the IBM Watson family. I currently work as a contractor for IBM Watson projects at a US government agency. I worked directly for IBM for about 7 years in the IBM Watson Group as a Technical Lead. In this position, I worked with IBM Watson services including IBM Watson Discovery, IBM Watson Explorer, and other IBM Cloud Watson services. My primary focus is in search, AI, and cloud technology. Show more Show less Udemy Business Teach on Udemy Get the app About us Contact us Careers Blog Help and Support Affiliate Impressum Kontakt Terms Privacy policy Cookie settings Sitemap © 2021 Udemy, Inc. window.handleCSSToggleButtonClick = function (event) { var target = event.currentTarget; var cssToggleId = target && target.dataset && target.dataset.cssToggleId; var input = cssToggleId && document.getElementById(cssToggleId); if (input) { if (input.dataset.type === 'checkbox') { input.dataset.checked = input.dataset.checked ? '' : 'checked'; } else { input.dataset.checked = input.dataset.allowToggle && input.dataset.checked ? '' : 'checked'; var radios = document.querySelectorAll('[name="' + input.dataset.name + '"]'); for (var i = 0; i (function(){window['__CF$cv$params']={r:'677a03f26b4940b9',m:'9a463605677f1e72b9269310b9dc65dad8237c7a-1627767945-1800-AY3CZWC371T4CQmpjA6yCuErFNEeRKSBVPHxev1ppibEq5bqLigp+vI5hWsTwVKcO6mc2U6wWcuA0zXJIYQaTPfCf/ZEk0n3aPUFsTEjlKfGppqF08wQ5ymeUL5DSVZESCUAQ97qQLMQDNMBQGMlDq3sfYrsO4GFWRVRyHpbEQhA',s:[0xd0f19ee555,0x513cdee49b],}})();
  3. How you can leverage Discovery's Natural Language Processing (NLP) and Artificial Intelligence (AI) capabilities How to explore data collections including the default Watson News Collection and a custom data set How to ingest data into IBM Watson Discovery How to automatically enrich the data within your collection How to explore and analyze IBM Watson Discovery data Learn natural language and Watson Discovery query syntax Course content 7 sections • 19 lectures • 1h 30m total length Expand all sections Couse Introduction 3 lectures • 22min Introduction to the Course Preview 02:34 IBM Watson Discovery Service Overview 09:33 Watson Discovery Demos Preview 09:57 Creating an IBM Watson Discovery Instance 2 lectures • 5min Creating an IBM Cloud Account 01:45 How to Create an IBM Watson Discovery Service Instance on IBM Cloud 02:51 Exploring the Interface and the Watson Discovery News Collection 2 lectures • 15min Exploring the Watson Discovery News Collection 09:58 Using the Query Builder 05:29 Ingesting and Exploring the Sample Data Set 1 lecture • 6min Create a Data Collection in Watson Discovery 06:11 Exploring the Sample Data Set 6 lectures • 23min Exploring Some of the Recommended Queries 05:03 Querying Using Natural Language 04:30 Querying Using the Discovery Query Language 06:06 Using a Term Aggregation Query 03:04 Applying Filters to Your Query 01:15 Bringing it All Together 03:30 Advanced Content (developers and advanced users) 4 lectures • 18min Exploring the Query Language Documentation 10:34 The Watson Discovery REST API 03:13 Using Postman 03:24 Watson Developer Cloud SDKs 01:08 Course Conclusion 1 lecture • 1min Conclusion 00:14 Requirements No experience with IBM Watson is necessary A computer with a modern web browser An email address to create a free IBM Cloud Account Description Discover the IBM Watson Discovery service. This service can be used to ingest and index data sets of all sizes. Automatically enrich your data with IBM Watson's advanced Natural Language Processing (NLP), Machine Learning (ML), and Artificial Intelligence (AI) technology. Give your developers, data scientists, and business users insight into your data like Keyword Extraction, Sentiment Analysis, Concept Tagging, Category Classification, Semantic Role Extraction, Emotion Analysis, Entity Extraction, and Relation Extraction. IBM Watson Discovery can even be taught your domain-specific business language by integrating with IBM Watson Knowledge Studio (not covered in this course). This course is intended for business and technical users who want to learn more about the cognitive capabilities of IBM Watson Discovery service. This is a high-level view of the tooling and technology that make up IBM Watson Discovery. After taking this course you will gain a better understanding of the types of enrichments that can be applied to your dataset and how to use the IBM Watson Discovery user interface to explore your data. Who this course is for: Technical professionals interested in IBM Watson Discovery Business professionals that want to learn about the capabilities of IBM Watson Discovery Show more Show less Instructor Johnathan Ward IBM Watson Consultant 4.2 Instructor Rating 9 Reviews 41 Students 1 Course I'm a technical consultant with 14 years of software industry experience and over 10 years of experience working with IBM products including the IBM Watson family. I currently work as a contractor for IBM Watson projects at a US government agency. I worked directly for IBM for about 7 years in the IBM Watson Group as a Technical Lead. In this position, I worked with IBM Watson services including IBM Watson Discovery, IBM Watson Explorer, and other IBM Cloud Watson services. My primary focus is in search, AI, and cloud technology. Show more Show less Udemy Business Teach on Udemy Get the app About us Contact us Careers Blog Help and Support Affiliate Impressum Kontakt Terms Privacy policy Cookie settings Sitemap © 2021 Udemy, Inc. window.handleCSSToggleButtonClick = function (event) { var target = event.currentTarget; var cssToggleId = target && target.dataset && target.dataset.cssToggleId; var input = cssToggleId && document.getElementById(cssToggleId); if (input) { if (input.dataset.type === 'checkbox') { input.dataset.checked = input.dataset.checked ? '' : 'checked'; } else { input.dataset.checked = input.dataset.allowToggle && input.dataset.checked ? '' : 'checked'; var radios = document.querySelectorAll('[name="' + input.dataset.name + '"]'); for (var i = 0; i (function(){window['__CF$cv$params']={r:'677a03f26b4940b9',m:'9a463605677f1e72b9269310b9dc65dad8237c7a-1627767945-1800-AY3CZWC371T4CQmpjA6yCuErFNEeRKSBVPHxev1ppibEq5bqLigp+vI5hWsTwVKcO6mc2U6wWcuA0zXJIYQaTPfCf/ZEk0n3aPUFsTEjlKfGppqF08wQ5ymeUL5DSVZESCUAQ97qQLMQDNMBQGMlDq3sfYrsO4GFWRVRyHpbEQhA',s:[0xd0f19ee555,0x513cdee49b],}})();
  4. How to explore data collections including the default Watson News Collection and a custom data set How to ingest data into IBM Watson Discovery How to automatically enrich the data within your collection How to explore and analyze IBM Watson Discovery data Learn natural language and Watson Discovery query syntax Course content 7 sections • 19 lectures • 1h 30m total length Expand all sections Couse Introduction 3 lectures • 22min Introduction to the Course Preview 02:34 IBM Watson Discovery Service Overview 09:33 Watson Discovery Demos Preview 09:57 Creating an IBM Watson Discovery Instance 2 lectures • 5min Creating an IBM Cloud Account 01:45 How to Create an IBM Watson Discovery Service Instance on IBM Cloud 02:51 Exploring the Interface and the Watson Discovery News Collection 2 lectures • 15min Exploring the Watson Discovery News Collection 09:58 Using the Query Builder 05:29 Ingesting and Exploring the Sample Data Set 1 lecture • 6min Create a Data Collection in Watson Discovery 06:11 Exploring the Sample Data Set 6 lectures • 23min Exploring Some of the Recommended Queries 05:03 Querying Using Natural Language 04:30 Querying Using the Discovery Query Language 06:06 Using a Term Aggregation Query 03:04 Applying Filters to Your Query 01:15 Bringing it All Together 03:30 Advanced Content (developers and advanced users) 4 lectures • 18min Exploring the Query Language Documentation 10:34 The Watson Discovery REST API 03:13 Using Postman 03:24 Watson Developer Cloud SDKs 01:08 Course Conclusion 1 lecture • 1min Conclusion 00:14 Requirements No experience with IBM Watson is necessary A computer with a modern web browser An email address to create a free IBM Cloud Account Description Discover the IBM Watson Discovery service. This service can be used to ingest and index data sets of all sizes. Automatically enrich your data with IBM Watson's advanced Natural Language Processing (NLP), Machine Learning (ML), and Artificial Intelligence (AI) technology. Give your developers, data scientists, and business users insight into your data like Keyword Extraction, Sentiment Analysis, Concept Tagging, Category Classification, Semantic Role Extraction, Emotion Analysis, Entity Extraction, and Relation Extraction. IBM Watson Discovery can even be taught your domain-specific business language by integrating with IBM Watson Knowledge Studio (not covered in this course). This course is intended for business and technical users who want to learn more about the cognitive capabilities of IBM Watson Discovery service. This is a high-level view of the tooling and technology that make up IBM Watson Discovery. After taking this course you will gain a better understanding of the types of enrichments that can be applied to your dataset and how to use the IBM Watson Discovery user interface to explore your data. Who this course is for: Technical professionals interested in IBM Watson Discovery Business professionals that want to learn about the capabilities of IBM Watson Discovery Show more Show less Instructor Johnathan Ward IBM Watson Consultant 4.2 Instructor Rating 9 Reviews 41 Students 1 Course I'm a technical consultant with 14 years of software industry experience and over 10 years of experience working with IBM products including the IBM Watson family. I currently work as a contractor for IBM Watson projects at a US government agency. I worked directly for IBM for about 7 years in the IBM Watson Group as a Technical Lead. In this position, I worked with IBM Watson services including IBM Watson Discovery, IBM Watson Explorer, and other IBM Cloud Watson services. My primary focus is in search, AI, and cloud technology. Show more Show less Udemy Business Teach on Udemy Get the app About us Contact us Careers Blog Help and Support Affiliate Impressum Kontakt Terms Privacy policy Cookie settings Sitemap © 2021 Udemy, Inc. window.handleCSSToggleButtonClick = function (event) { var target = event.currentTarget; var cssToggleId = target && target.dataset && target.dataset.cssToggleId; var input = cssToggleId && document.getElementById(cssToggleId); if (input) { if (input.dataset.type === 'checkbox') { input.dataset.checked = input.dataset.checked ? '' : 'checked'; } else { input.dataset.checked = input.dataset.allowToggle && input.dataset.checked ? '' : 'checked'; var radios = document.querySelectorAll('[name="' + input.dataset.name + '"]'); for (var i = 0; i (function(){window['__CF$cv$params']={r:'677a03f26b4940b9',m:'9a463605677f1e72b9269310b9dc65dad8237c7a-1627767945-1800-AY3CZWC371T4CQmpjA6yCuErFNEeRKSBVPHxev1ppibEq5bqLigp+vI5hWsTwVKcO6mc2U6wWcuA0zXJIYQaTPfCf/ZEk0n3aPUFsTEjlKfGppqF08wQ5ymeUL5DSVZESCUAQ97qQLMQDNMBQGMlDq3sfYrsO4GFWRVRyHpbEQhA',s:[0xd0f19ee555,0x513cdee49b],}})();
  5. How to ingest data into IBM Watson Discovery How to automatically enrich the data within your collection How to explore and analyze IBM Watson Discovery data Learn natural language and Watson Discovery query syntax Course content 7 sections • 19 lectures • 1h 30m total length Expand all sections Couse Introduction 3 lectures • 22min Introduction to the Course Preview 02:34 IBM Watson Discovery Service Overview 09:33 Watson Discovery Demos Preview 09:57 Creating an IBM Watson Discovery Instance 2 lectures • 5min Creating an IBM Cloud Account 01:45 How to Create an IBM Watson Discovery Service Instance on IBM Cloud 02:51 Exploring the Interface and the Watson Discovery News Collection 2 lectures • 15min Exploring the Watson Discovery News Collection 09:58 Using the Query Builder 05:29 Ingesting and Exploring the Sample Data Set 1 lecture • 6min Create a Data Collection in Watson Discovery 06:11 Exploring the Sample Data Set 6 lectures • 23min Exploring Some of the Recommended Queries 05:03 Querying Using Natural Language 04:30 Querying Using the Discovery Query Language 06:06 Using a Term Aggregation Query 03:04 Applying Filters to Your Query 01:15 Bringing it All Together 03:30 Advanced Content (developers and advanced users) 4 lectures • 18min Exploring the Query Language Documentation 10:34 The Watson Discovery REST API 03:13 Using Postman 03:24 Watson Developer Cloud SDKs 01:08 Course Conclusion 1 lecture • 1min Conclusion 00:14 Requirements No experience with IBM Watson is necessary A computer with a modern web browser An email address to create a free IBM Cloud Account Description Discover the IBM Watson Discovery service. This service can be used to ingest and index data sets of all sizes. Automatically enrich your data with IBM Watson's advanced Natural Language Processing (NLP), Machine Learning (ML), and Artificial Intelligence (AI) technology. Give your developers, data scientists, and business users insight into your data like Keyword Extraction, Sentiment Analysis, Concept Tagging, Category Classification, Semantic Role Extraction, Emotion Analysis, Entity Extraction, and Relation Extraction. IBM Watson Discovery can even be taught your domain-specific business language by integrating with IBM Watson Knowledge Studio (not covered in this course). This course is intended for business and technical users who want to learn more about the cognitive capabilities of IBM Watson Discovery service. This is a high-level view of the tooling and technology that make up IBM Watson Discovery. After taking this course you will gain a better understanding of the types of enrichments that can be applied to your dataset and how to use the IBM Watson Discovery user interface to explore your data. Who this course is for: Technical professionals interested in IBM Watson Discovery Business professionals that want to learn about the capabilities of IBM Watson Discovery Show more Show less Instructor Johnathan Ward IBM Watson Consultant 4.2 Instructor Rating 9 Reviews 41 Students 1 Course I'm a technical consultant with 14 years of software industry experience and over 10 years of experience working with IBM products including the IBM Watson family. I currently work as a contractor for IBM Watson projects at a US government agency. I worked directly for IBM for about 7 years in the IBM Watson Group as a Technical Lead. In this position, I worked with IBM Watson services including IBM Watson Discovery, IBM Watson Explorer, and other IBM Cloud Watson services. My primary focus is in search, AI, and cloud technology. Show more Show less Udemy Business Teach on Udemy Get the app About us Contact us Careers Blog Help and Support Affiliate Impressum Kontakt Terms Privacy policy Cookie settings Sitemap © 2021 Udemy, Inc. window.handleCSSToggleButtonClick = function (event) { var target = event.currentTarget; var cssToggleId = target && target.dataset && target.dataset.cssToggleId; var input = cssToggleId && document.getElementById(cssToggleId); if (input) { if (input.dataset.type === 'checkbox') { input.dataset.checked = input.dataset.checked ? '' : 'checked'; } else { input.dataset.checked = input.dataset.allowToggle && input.dataset.checked ? '' : 'checked'; var radios = document.querySelectorAll('[name="' + input.dataset.name + '"]'); for (var i = 0; i (function(){window['__CF$cv$params']={r:'677a03f26b4940b9',m:'9a463605677f1e72b9269310b9dc65dad8237c7a-1627767945-1800-AY3CZWC371T4CQmpjA6yCuErFNEeRKSBVPHxev1ppibEq5bqLigp+vI5hWsTwVKcO6mc2U6wWcuA0zXJIYQaTPfCf/ZEk0n3aPUFsTEjlKfGppqF08wQ5ymeUL5DSVZESCUAQ97qQLMQDNMBQGMlDq3sfYrsO4GFWRVRyHpbEQhA',s:[0xd0f19ee555,0x513cdee49b],}})();
  6. How to automatically enrich the data within your collection How to explore and analyze IBM Watson Discovery data Learn natural language and Watson Discovery query syntax Course content 7 sections • 19 lectures • 1h 30m total length Expand all sections Couse Introduction 3 lectures • 22min Introduction to the Course Preview 02:34 IBM Watson Discovery Service Overview 09:33 Watson Discovery Demos Preview 09:57 Creating an IBM Watson Discovery Instance 2 lectures • 5min Creating an IBM Cloud Account 01:45 How to Create an IBM Watson Discovery Service Instance on IBM Cloud 02:51 Exploring the Interface and the Watson Discovery News Collection 2 lectures • 15min Exploring the Watson Discovery News Collection 09:58 Using the Query Builder 05:29 Ingesting and Exploring the Sample Data Set 1 lecture • 6min Create a Data Collection in Watson Discovery 06:11 Exploring the Sample Data Set 6 lectures • 23min Exploring Some of the Recommended Queries 05:03 Querying Using Natural Language 04:30 Querying Using the Discovery Query Language 06:06 Using a Term Aggregation Query 03:04 Applying Filters to Your Query 01:15 Bringing it All Together 03:30 Advanced Content (developers and advanced users) 4 lectures • 18min Exploring the Query Language Documentation 10:34 The Watson Discovery REST API 03:13 Using Postman 03:24 Watson Developer Cloud SDKs 01:08 Course Conclusion 1 lecture • 1min Conclusion 00:14 Requirements No experience with IBM Watson is necessary A computer with a modern web browser An email address to create a free IBM Cloud Account Description Discover the IBM Watson Discovery service. This service can be used to ingest and index data sets of all sizes. Automatically enrich your data with IBM Watson's advanced Natural Language Processing (NLP), Machine Learning (ML), and Artificial Intelligence (AI) technology. Give your developers, data scientists, and business users insight into your data like Keyword Extraction, Sentiment Analysis, Concept Tagging, Category Classification, Semantic Role Extraction, Emotion Analysis, Entity Extraction, and Relation Extraction. IBM Watson Discovery can even be taught your domain-specific business language by integrating with IBM Watson Knowledge Studio (not covered in this course). This course is intended for business and technical users who want to learn more about the cognitive capabilities of IBM Watson Discovery service. This is a high-level view of the tooling and technology that make up IBM Watson Discovery. After taking this course you will gain a better understanding of the types of enrichments that can be applied to your dataset and how to use the IBM Watson Discovery user interface to explore your data. Who this course is for: Technical professionals interested in IBM Watson Discovery Business professionals that want to learn about the capabilities of IBM Watson Discovery Show more Show less Instructor Johnathan Ward IBM Watson Consultant 4.2 Instructor Rating 9 Reviews 41 Students 1 Course I'm a technical consultant with 14 years of software industry experience and over 10 years of experience working with IBM products including the IBM Watson family. I currently work as a contractor for IBM Watson projects at a US government agency. I worked directly for IBM for about 7 years in the IBM Watson Group as a Technical Lead. In this position, I worked with IBM Watson services including IBM Watson Discovery, IBM Watson Explorer, and other IBM Cloud Watson services. My primary focus is in search, AI, and cloud technology. Show more Show less Udemy Business Teach on Udemy Get the app About us Contact us Careers Blog Help and Support Affiliate Impressum Kontakt Terms Privacy policy Cookie settings Sitemap © 2021 Udemy, Inc. window.handleCSSToggleButtonClick = function (event) { var target = event.currentTarget; var cssToggleId = target && target.dataset && target.dataset.cssToggleId; var input = cssToggleId && document.getElementById(cssToggleId); if (input) { if (input.dataset.type === 'checkbox') { input.dataset.checked = input.dataset.checked ? '' : 'checked'; } else { input.dataset.checked = input.dataset.allowToggle && input.dataset.checked ? '' : 'checked'; var radios = document.querySelectorAll('[name="' + input.dataset.name + '"]'); for (var i = 0; i (function(){window['__CF$cv$params']={r:'677a03f26b4940b9',m:'9a463605677f1e72b9269310b9dc65dad8237c7a-1627767945-1800-AY3CZWC371T4CQmpjA6yCuErFNEeRKSBVPHxev1ppibEq5bqLigp+vI5hWsTwVKcO6mc2U6wWcuA0zXJIYQaTPfCf/ZEk0n3aPUFsTEjlKfGppqF08wQ5ymeUL5DSVZESCUAQ97qQLMQDNMBQGMlDq3sfYrsO4GFWRVRyHpbEQhA',s:[0xd0f19ee555,0x513cdee49b],}})();
  7. How to explore and analyze IBM Watson Discovery data Learn natural language and Watson Discovery query syntax Course content 7 sections • 19 lectures • 1h 30m total length Expand all sections Couse Introduction 3 lectures • 22min Introduction to the Course Preview 02:34 IBM Watson Discovery Service Overview 09:33 Watson Discovery Demos Preview 09:57 Creating an IBM Watson Discovery Instance 2 lectures • 5min Creating an IBM Cloud Account 01:45 How to Create an IBM Watson Discovery Service Instance on IBM Cloud 02:51 Exploring the Interface and the Watson Discovery News Collection 2 lectures • 15min Exploring the Watson Discovery News Collection 09:58 Using the Query Builder 05:29 Ingesting and Exploring the Sample Data Set 1 lecture • 6min Create a Data Collection in Watson Discovery 06:11 Exploring the Sample Data Set 6 lectures • 23min Exploring Some of the Recommended Queries 05:03 Querying Using Natural Language 04:30 Querying Using the Discovery Query Language 06:06 Using a Term Aggregation Query 03:04 Applying Filters to Your Query 01:15 Bringing it All Together 03:30 Advanced Content (developers and advanced users) 4 lectures • 18min Exploring the Query Language Documentation 10:34 The Watson Discovery REST API 03:13 Using Postman 03:24 Watson Developer Cloud SDKs 01:08 Course Conclusion 1 lecture • 1min Conclusion 00:14 Requirements No experience with IBM Watson is necessary A computer with a modern web browser An email address to create a free IBM Cloud Account Description Discover the IBM Watson Discovery service. This service can be used to ingest and index data sets of all sizes. Automatically enrich your data with IBM Watson's advanced Natural Language Processing (NLP), Machine Learning (ML), and Artificial Intelligence (AI) technology. Give your developers, data scientists, and business users insight into your data like Keyword Extraction, Sentiment Analysis, Concept Tagging, Category Classification, Semantic Role Extraction, Emotion Analysis, Entity Extraction, and Relation Extraction. IBM Watson Discovery can even be taught your domain-specific business language by integrating with IBM Watson Knowledge Studio (not covered in this course). This course is intended for business and technical users who want to learn more about the cognitive capabilities of IBM Watson Discovery service. This is a high-level view of the tooling and technology that make up IBM Watson Discovery. After taking this course you will gain a better understanding of the types of enrichments that can be applied to your dataset and how to use the IBM Watson Discovery user interface to explore your data. Who this course is for: Technical professionals interested in IBM Watson Discovery Business professionals that want to learn about the capabilities of IBM Watson Discovery Show more Show less Instructor Johnathan Ward IBM Watson Consultant 4.2 Instructor Rating 9 Reviews 41 Students 1 Course I'm a technical consultant with 14 years of software industry experience and over 10 years of experience working with IBM products including the IBM Watson family. I currently work as a contractor for IBM Watson projects at a US government agency. I worked directly for IBM for about 7 years in the IBM Watson Group as a Technical Lead. In this position, I worked with IBM Watson services including IBM Watson Discovery, IBM Watson Explorer, and other IBM Cloud Watson services. My primary focus is in search, AI, and cloud technology. Show more Show less Udemy Business Teach on Udemy Get the app About us Contact us Careers Blog Help and Support Affiliate Impressum Kontakt Terms Privacy policy Cookie settings Sitemap © 2021 Udemy, Inc. window.handleCSSToggleButtonClick = function (event) { var target = event.currentTarget; var cssToggleId = target && target.dataset && target.dataset.cssToggleId; var input = cssToggleId && document.getElementById(cssToggleId); if (input) { if (input.dataset.type === 'checkbox') { input.dataset.checked = input.dataset.checked ? '' : 'checked'; } else { input.dataset.checked = input.dataset.allowToggle && input.dataset.checked ? '' : 'checked'; var radios = document.querySelectorAll('[name="' + input.dataset.name + '"]'); for (var i = 0; i (function(){window['__CF$cv$params']={r:'677a03f26b4940b9',m:'9a463605677f1e72b9269310b9dc65dad8237c7a-1627767945-1800-AY3CZWC371T4CQmpjA6yCuErFNEeRKSBVPHxev1ppibEq5bqLigp+vI5hWsTwVKcO6mc2U6wWcuA0zXJIYQaTPfCf/ZEk0n3aPUFsTEjlKfGppqF08wQ5ymeUL5DSVZESCUAQ97qQLMQDNMBQGMlDq3sfYrsO4GFWRVRyHpbEQhA',s:[0xd0f19ee555,0x513cdee49b],}})();
  8. Learn natural language and Watson Discovery query syntax Course content 7 sections • 19 lectures • 1h 30m total length Expand all sections Couse Introduction 3 lectures • 22min Introduction to the Course Preview 02:34 IBM Watson Discovery Service Overview 09:33 Watson Discovery Demos Preview 09:57 Creating an IBM Watson Discovery Instance 2 lectures • 5min Creating an IBM Cloud Account 01:45 How to Create an IBM Watson Discovery Service Instance on IBM Cloud 02:51 Exploring the Interface and the Watson Discovery News Collection 2 lectures • 15min Exploring the Watson Discovery News Collection 09:58 Using the Query Builder 05:29 Ingesting and Exploring the Sample Data Set 1 lecture • 6min Create a Data Collection in Watson Discovery 06:11 Exploring the Sample Data Set 6 lectures • 23min Exploring Some of the Recommended Queries 05:03 Querying Using Natural Language 04:30 Querying Using the Discovery Query Language 06:06 Using a Term Aggregation Query 03:04 Applying Filters to Your Query 01:15 Bringing it All Together 03:30 Advanced Content (developers and advanced users) 4 lectures • 18min Exploring the Query Language Documentation 10:34 The Watson Discovery REST API 03:13 Using Postman 03:24 Watson Developer Cloud SDKs 01:08 Course Conclusion 1 lecture • 1min Conclusion 00:14 Requirements No experience with IBM Watson is necessary A computer with a modern web browser An email address to create a free IBM Cloud Account Description Discover the IBM Watson Discovery service. This service can be used to ingest and index data sets of all sizes. Automatically enrich your data with IBM Watson's advanced Natural Language Processing (NLP), Machine Learning (ML), and Artificial Intelligence (AI) technology. Give your developers, data scientists, and business users insight into your data like Keyword Extraction, Sentiment Analysis, Concept Tagging, Category Classification, Semantic Role Extraction, Emotion Analysis, Entity Extraction, and Relation Extraction. IBM Watson Discovery can even be taught your domain-specific business language by integrating with IBM Watson Knowledge Studio (not covered in this course). This course is intended for business and technical users who want to learn more about the cognitive capabilities of IBM Watson Discovery service. This is a high-level view of the tooling and technology that make up IBM Watson Discovery. After taking this course you will gain a better understanding of the types of enrichments that can be applied to your dataset and how to use the IBM Watson Discovery user interface to explore your data. Who this course is for: Technical professionals interested in IBM Watson Discovery Business professionals that want to learn about the capabilities of IBM Watson Discovery Show more Show less Instructor Johnathan Ward IBM Watson Consultant 4.2 Instructor Rating 9 Reviews 41 Students 1 Course I'm a technical consultant with 14 years of software industry experience and over 10 years of experience working with IBM products including the IBM Watson family. I currently work as a contractor for IBM Watson projects at a US government agency. I worked directly for IBM for about 7 years in the IBM Watson Group as a Technical Lead. In this position, I worked with IBM Watson services including IBM Watson Discovery, IBM Watson Explorer, and other IBM Cloud Watson services. My primary focus is in search, AI, and cloud technology. Show more Show less Udemy Business Teach on Udemy Get the app About us Contact us Careers Blog Help and Support Affiliate Impressum Kontakt Terms Privacy policy Cookie settings Sitemap © 2021 Udemy, Inc. window.handleCSSToggleButtonClick = function (event) { var target = event.currentTarget; var cssToggleId = target && target.dataset && target.dataset.cssToggleId; var input = cssToggleId && document.getElementById(cssToggleId); if (input) { if (input.dataset.type === 'checkbox') { input.dataset.checked = input.dataset.checked ? '' : 'checked'; } else { input.dataset.checked = input.dataset.allowToggle && input.dataset.checked ? '' : 'checked'; var radios = document.querySelectorAll('[name="' + input.dataset.name + '"]'); for (var i = 0; i (function(){window['__CF$cv$params']={r:'677a03f26b4940b9',m:'9a463605677f1e72b9269310b9dc65dad8237c7a-1627767945-1800-AY3CZWC371T4CQmpjA6yCuErFNEeRKSBVPHxev1ppibEq5bqLigp+vI5hWsTwVKcO6mc2U6wWcuA0zXJIYQaTPfCf/ZEk0n3aPUFsTEjlKfGppqF08wQ5ymeUL5DSVZESCUAQ97qQLMQDNMBQGMlDq3sfYrsO4GFWRVRyHpbEQhA',s:[0xd0f19ee555,0x513cdee49b],}})();