IBM-SkillsAcademy/artificial-intelligence-analyst

AI Analyst Videos and Tutorials

Introduction to machine learning

To evaluate clustering algorithms you can use Silhouette, which measures the separation of clusters and inter-cluster distance. See Performance Metrics in Machine Learning — Part 3: Clustering.

Introduction to IBM Watson

Introduction to IBM Watson Studio

• IBM Watson Studio: Build and train AI models in one integrated environment
• Collaborate on Watson Studio projects
• IBM Watson Studio: Collaborate on projects
• Visualize data with Brunel in Jupyter notebooks with Watson Studio
• IBM Watson Studio: Load and analyze public data sets
• Create a custom environment for Jupyter notebooks in Watson Studio
• Analyze precipitation data using a sample notebook in a project: Cloud Pak for Data as a Service
• IBM Watson Studio: Manage object storage
• IBM Watson Studio Desktop Intro Video
• Create a folder asset connection in a Watson Studio project: Cloud Pak for Data as a Service
• Manage object storage: Cloud Pak for Data as a Service

Data Refinery

• Use the Data Refinery to shape raw data

Introduction to IBM Watson Machine Learning

• Get Started with Watson Machine Learning in IBM Cloud
• Explore and prepare data - Tutorial part 1: Cloud Pak for Data as a Service
• Build and deploy a machine learning model - Tutorial part 2: Cloud Pak for Data as a Service
• How to deploy a machine learning model using a Jupyter notebook in Watson Studio?

AutoAI

• IBM Watson Machine Learning: Build a Binary Classification model using an AutoAI Experiment
• Run an AutoAI Experiment to build a Watson Machine Learning model: Cloud Pak for Data 3.5 - Binary classification model for a marketing campaign
• IBM Watson Machine Learning: Build a multiclass classification model by running an AutoAI experiment
• IBM Watson Machine Learning: Run a sample AutoAI experiment to create a machine learning model
• IBM Watson Machine Learning: Join data sets in AutoAI to create models
• IBM Watson Machine Learning: AutoAI user experience analysis: AutoAI data join multi-classification tutorial

Introduction to natural language processing

Natural language processing concepts and components

Natural language processing evaluation metrics

Natural language processing and IBM Watson

• Create and train a Natural Language Classifier Model in a project: Cloud Pak for Data as a Service

Introduction to IBM Watson Knowledge Studio

• Iterative model development: best practices

Introduction to chatbots

Introduction to IBM Watson Assistant

• Watson Assistant Tooling Overview
• IBM Watson Assistant: Intents
• IBM Watson Assistant: Intent Recommendations
• IBM Watson Assistant: Dialog
• Watson Assistant – Slots tutorial: part 1, part 2
• Watson Assistant – Advanced dialog tutorial
• IBM Watson Assistant: Search Skill
• IBM Watson Assistant: Access Control
• IBM Watson Assistant: Web Chat
• Watson Assistant Disambiguation
• How to request Wikipedia API via Watson Assistant Webhooks
• Watson Assistant Intent Conflict Resolution

Designing and building an intelligent solution

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• Cloud Pak for Data as a Service videos