Introduction to AI

[[Week 1 - Introduction]]
- [[Introducing AI]]
- [[What is AI]]
- [[Tanmay’s Journey and take on AI]]
- [[AI is not magic - Demystify and Apply]]
- [[Women leaders in AI]]
- [[AI and the time to be creative]]
- [[AI in the media - Key questions to consider]]
- [[AI needs barriers to be successful]]
- [[AI requires buy-in from leadership]]
- [[AI’s Ratchet effect]]
- [[AI-specific pain points]]
- [[Comparison of not having an AI plan in 2020]]
- [[Diversity lowers the risk of AI]]
- [[Examples and impact of AI (LIST)]]
- [[Expert Insights - AI fast forwards video for sports highlights]]
- [[Find an AI mentor]]
- [[Get To AI At Scale]]
- [[Prioritisation]]
- [[Prove the value of AI]]
- [[PWC study - AI’s impact on GDP by 2030]]
- [[The 3 Foundations - (AI) is only as good as your (IA)]]
- [[The AI Job Replacement Axiom]]
- [[The AI Ladder]]
- [[The next 10,000 business cases - Kevin Kelly]]
- [[Time-Proportion Value Increase of the Journalist]]
- [[Two Key Elements Of AI - Componentry and Process]]
[[Week 2 - Introduction]]
- [[Adaptive resonance theory]]
- [[Four stages of human cognition]]
- [[How to get started with Cognitive Technology]]
- [[Adoption starts with education]]
- [[IBM’s cognitive advantage global market report]]
- [[The Three patterns of AI technology usage]]
- [[Adoption starts with education]]
- [[Best practice - AI lessons from early adopters]]
- [[Build, deploy or collaborate]]
- [[Checklist for AI Adoption]]
- [[Four main categories of AI implementation]]
- [[Four stages of human cognition]]
- [[Functional Patterns]]
- [[Goal-based Patterns]]
- [[k-means clustering]]
- [[Technology Patterns]]
- [[Project Debater - Understanding each other through AI]]
- [[Quote the numbers - benefits of AI adoption]]
- [[Woodside - AI causes growth in jobs]]
- [[Machine Learning]]
- [[Supervised Learning]]
- [[Regression - supervised learning]]
- [[Classification - supervised learning]]
- [[Reinforcement - supervised learning]]
- [[Unsupervised Learning]]
- [[Training your model]]
- [[Three ways to evaluate models]]
- [[Deep Learning]]
- [[Neural Networks]]
- [[Back-propagation]]
- [[Perceptrons]]
- [[Bias]]
- [[Artificial Intelligence/Introduction to AI/Week 2 - Introduction/Activation function]]
- [[CNNS - Convolutional neural networks]]
- [[RNNS - Recurrent neural networks]]
- [[Artificial Intelligence/Introduction to AI/Week 2 - Introduction/Natural Language Processing]]
- [[Modern Approaches in NLP]]
- [[Recurrent Neural Networks in NLP]]
- [[Reinforcement Learning in NLP]]
- [[Deep Learning in NLP]]
- [[Long short-term memory - LSTM]]
- [[Gated Recurrent Unit]]
- [[Artificial Intelligence/Introduction to AI/Week 2 - Introduction/Activation function]]
[[Week 3 - Introduction]]
[[Week 4 - Introduction]]
- [[AI won’t look like Humans - Kevin Kelly]]
- [[All business is data business - Kevin Kelly]]
- [[Can an AI be creative]]
- [[Constraints on AI and robotic advances]]
- [[Job creation in an AI future]]
- [[Question - What can AI do]]
- [[The Ladder of AI]]
- [[We just don’t understand understanding]]

Creating Chatbots with Watson

[[Building AI-powered Chatbots with Watson]]
- [[Introduction to Chatbots]]
- [[What are Chatbots]]
- [[The First Chatbot - Eliza]]
- [[Seven most important conversational computing providers]]
- [[Nine Criteria for evaluating Chatbot vendors]]
- [[IBM Watson Assistant]]
- [[Amazon Alexa]]
- [[Google Dialogflow]]
- [[How to build a Chatbot with Watson Assistant]]
  - [[Intents]]
  - [[Entities]]
  - [[Dialogues]]
    - [[Child Dialogue nodes]]
    - [[Fallback child node]]
    - [[Implementing Dialogues]]
  - [[Context Variables and Slots]]
    - [[Advanced Context Variables]]
- [[IBM Notes on Chatbot writing]]
- [[Preparing a Chatbot for deployment]]
- [[API details for the Flower Shop Assistant]]
- [[Dummy WordPress site Credentials]]
- [[Deploying a Chatbot to Wordpress]]

Watson Overview

[[Module 1 - Watson AI Overview]]
- [[The business importance of recording interactions]]
- [[Transfer Learning - IBM]]
- [[Watson AI is changing how business is done]]
  - [[Expertice on call]]
  - [[Expert service - 60 per cent faster]]
  - [[AR-powered technician support]]
  - [[Customer response in seconds - not minutes]]
  - [[Market data in plain language]]
  - [[Confidence in the details]]
  - [[Answering tomorrow’s legal questions]]
  - [[Predicting and preventing breakdowns]]
  - [[Preserving institutional wisdom]]
  - [[Claims assessed 25 per cent faster]]
  - [[Maintenance done 90 per cent faster]]
- [[Expected AI spend next year (2021)]]
- [[Four key principles of Watson]]
- [[How AI amplifies an employee’s role]]
- [[How to get IBM on board]]
  - [[How_to_get_IBM_on_board.mp4]]
- [[Watson Explorer]]
- [[Watson with Audits and Compliance]]
[[Module 2 - Available Watson Services]]
- [[Cloud services]]
- [[Data Science]]
- [[Vendor lock-in]]
- [[Watson availability]]
- [[Artificial Intelligence/Watson AI Overview/Module 2 - Available Watson AI Services/Watson Discovery]]
- [[Watson Natural Language Understanding]]
- [[Watson Speech-to-Text]]
- [[Watson Text-to-Speech]]
[[Module 3 - Advanced Watson Services]]
- [[Watson at LivePerson Contact Centres]]
- [[Watson Compare and Comply]]
- [[Watson Knowledge Catalogue]]
- [[Watson Machine Learning]]
- [[Watson OpenScale]]
- [[Watson Personality Insights]]
- [[Watson Studio]]
- [[Watson Tone Analyser]]
- [[Big 5 personality model]]
- [[Computer Vision, its applications, and IBM Watson]]
- [[Open Source Replacements - TODO]]
[[Module 4 - Watson Use Cases and Resources List]]
- [[Watson At Work]]
- [[Toby - Watson’s use cases]]
- [[Bradesco]]
- [[Watson for Oncology, Clinical Trial Matching, and Genomics]]
- [[Watson in use at Coca-Cola Company]]
- [[Watson at ADNOC]]
- [[Watson in use at KONE]]
- [[Watson at LivePerson]]
- [[Watson at Hilton]]
- [[402_solutionbrief_200401_openscale_copyupdate_14020014USEN_.pdf]]
- [[Data_Science_Pipeline_Readiness.pdf]]
- [[ESG-Tech-Validation-IBM-Watson-Studio-Feb-2019.pdf]]
- [[How_to_get_IBM_on_board.mp4]]
- [[Watson_services.mp4]]
- [[Watson_Studio.mp4]]
- [[Watson_Compare_And_Comply.mp4]]
- [[Watson_call_centre_solution.mp4]]
- [[IBM_Watson_Professional_Solutions_Certification.pdf]]

Python for Data Science and AI

[[Python Week 1 Main Page]]
- [[Introduction to Python Data Types]]
- [[Expressions and Variables]]
- [[Week1 Types Expressions and Variables Lab]]
- [[Sharing a Jupyter notebook to Github]]
- [[Python String Operations]]
- [[Week1 String operations Lab]]
[[Python Week 2 Main Page]]
- [[Python Lists and Tuples]]
- [[Week2 Tuples Lab]]
- [[Week2 Lists Lab]]
- [[Python Dictionaries]]
- [[Week2 Dictionaries Lab]]
- [[Python Sets]]
- [[Week2 Sets Lab]]
[[Python Week 3 Main Page]]
- [[Python Conditions and Branching]]
- [[Week3 Conditions and Branching Lab]]
- [[Python Loops - For Loops]]
- [[Python Loops - While Loops]]
- [[Week3 Python For and While Loops Lab]]
- [[Python Functions]]
- [[Python Function Scope - Global vs Local]]
- [[Week3 Functions and Scope Lab]]
- [[Python Classes]]
- [[Week3 Classes and Objects Lab]]
[[Python Week 4 Main Page]]
- [[Python file handling - reading]]
- [[Week4 Reading From Files Lab]]
- [[Python file handling - writing]]
- [[Week4 Writing to Files Lab]]
- [[Pandas]]
- [[Filtering and Saving Data with Pandas]]
- [[Week4 Pandas Data Lab]]
[[Python Week 5 Main Page]]

Deploying IBM AI Services

[[AI Service Deployment Main Page]]

Resources

[[Exxact_Quote_100274-1.pdf]]
[[Pasted image.png]]
[[Professional Machine Learning Workstation - Exxact Quote]]
[[Recommended algorithms by usage]]
[[HistoryOfAI.jpeg]]
[[Creating Chatbots with Watson.pdf]]
[[Creating_Intents.pdf]]
[[Define_Domain_Specific_Intents.pdf]]
[[Create_Entities.pdf]]
[[Import_and_Export_Entities.pdf]]
[[Implement_the_Dialog.pdf]]
[[Add_a_preview_and_retrieve_your_credentials.pdf]]
[[Deploy_your_Chatbot.pdf]]
[[Explore_Context_Variables.pdf]]
[[Master_Slots.pdf]]
[[Enable_Digressions.pdf]]
[[Get_to_know_the_Analytics_tab.pdf]]
[[Pasted image 20201103162748.png]]
[[IBM_Python_for_Data_Science_Professional.pdf]]

See also the [[The Golem Project Overview]] for the ultimate implementation of this and the [[Master of Philosophy]].

For a professionally designed workstation built for machine learning, check out the [[Professional Machine Learning Workstation - Exxact Quote]]

For a discontinued project that may still be of educational value, see the [[Main Library - Chatterbot]] and [[Why I didn’t use Chatterbot]].

Currently my most popular bot is Floria from The AFIRM project, which you can read about at the [[AFIRM Overall Project Page]]

Most, it not all code is written in Python, and will link through the [[Python - Main Page]]