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-
Free ChapterIntroducing the IBM Watson Platform
-
Getting Started with coding for IBM Watson
-
Build Conversational Systems Using the Watson Conversation Service
- Watson Assistant in Depth
- Watson Assistant in Depth (continued)
- Define Intents and Entities Workspace
- Define Intents
- Define Entities
- Build Dialog Overview
- Build Dialog Conditions and Responses
- Build Dialog Context, Slots and Folders
- Build Dialog Advanced Responses and APIs
- Evaluate and Deploy the Model
- Build: IT Support Assistant
- Improving Models Continuously
- Applying the Capability in Various Use Cases
-
Rich Text Analytics Using Watson Natural Language Understanding for Your Application
-
Adding Speech Recognition Capabilities to Your Apps Using Watson Speech to Text
- Watson Speech to Text in Depth
- Watson Speech to Text in Depth (Continued)
- Key Concepts
- Key Concepts (Continued)
- Testing Watson Speech To Text Model
- Improving STT Model Using Custom Words
- Improving STT Model Using Custom Words(continued)
- Build Your Own Custom Acoustic Model
- Build: Company Earnings Call Transcript Application
- Applying the Capability in Various Use Cases
-
Train Image Recognition Models Using Watson Visual Recognition
- Watson Visual Recognition in Depth
- Watson Visual Recognition in Depth (Continued)
- Classifying Images
- Classifying Images (Continued)
- Detecting Food and Faces
- Extracting Text from Images
- Introduction to Watson Studio
- Overall Approach to Training
- Training the Classifier
- Invoke Model, Best Practices and Applicable Cases
- Apply the Capability in Various Use Cases and Convert to Core ML
About this
video
IBM Watson has evolved from being a game show winning question & answering computer system to a set of enterprise-grade artificial intelligence (AI) application program interfaces (API) available on IBM Cloud. These Watson API’s can ingest, understand & analyze all forms of data, allow for natural forms of interactions with people, learn, reason - all at a scale that allows for business processes and applications to be reimagined.
This course will give you a hands-on introduction to getting a detailed understanding of the Watson AI API’s, how to train them and eventually build applications using them. You will go through the fundamentals behind each of the API’s, lots of code examples on how to use them on different types of unstructured data, spot the scenarios where you can apply them as well as real-life use case examples. You will learn about how to build conversational apps a.k.a., chat-bots, analyze text at a deeper level, transcribe audio, training a machine to classify & detect objects in pictures, extract entities, emotions, sentiment and relationships from news articles etc.
You will also learn the different types of data basics of AI including machine & deep learning, approach to building AI systems. You will learn about the basics of getting started with IBM Cloud, Watson and setting up an environment to build AI infused apps.
By the end of the course, you will have a complete understanding of the various Watson API’s and will have developed the skills to effectively use them in applications and business processes you may be working on.
All the code and supporting files for this course are available at: https://github.com/PacktPublishing/Learning-to-Build-Apps-Using-Watson-AI
Style and Approach
This practical course is packed with step-by-step instructions, working examples, and helpful advice on getting started with IBM Watson. This comprehensive course is divided into clear bite-size chunks so you can learn at your own pace and focus on the areas of most interest to you.
- Publication date:
- November 2018
- Publisher
- Packt
- Duration
- 11 hours 49 minutes
- ISBN
- 9781788620789