README by @KGBicheno

KGB_Agora

Kieran's Agora is a place of constant learning. While you may draw assumptions from what is being learned here, a friendly, open, and charitable discussion will be given a chance upon disagreement.

Like all Agora, it may change. This is to be celebrated. Knowledge is not static.

Who am I?

I'm a storyteller and lookout. I've been called 'Paḻaiya kai', 'hem-netjer', 'arlequin', and 'саботажник' over the years, but the roles I've played have served who I am, they've not made who I am.

Romanticism aside, I have some form of external certification in the following domains:

Certified

Continued Learning

Experienced but not continued

Uncertified

Continued Learning

Experienced but not continued

Subnodes by @KGBicheno

Python String Operations
Python Week 1 Main Page
Sharing a Jupyter notebook to Github
Week1 String operations Lab
Week1 Types Expressions and Variables Lab
Python Dictionaries
Python Lists and Tuples
Python Sets
Python Week 2 Main Page
Week2 Dictionaries Lab
Week2 Lists Lab
Week2 Sets Lab
Week2 Tuples Lab
Python Classes
Python Conditions and Branching
Python Function Scope - Global vs Local
Python Functions
Python Loops - For Loops
Python Loops - While Loops
Python Week 3 Main Page
Week3 Classes and Objects Lab
Week3 Conditions and Branching Lab
Week3 Functions and Scope Lab
Week3 Python For and While Loops Lab
Filtering and Saving Data with Pandas
One-Dimensional Numpy
Pandas
Python file handling - reading
Python file handling - writing
Python IBM API Assignment Lab
Python Week 4 Main Page
Simple APIs in Python
Two-Dimensional Numpy
Week4 Numpy in One Dimension Lab
Week4 Numpy in Two Dimensions Lab
Week4 Pandas Data Lab
Week4 Reading From Files Lab
Week4 Writing to Files Lab
IBM Digital Badge - Python for Applied Data Science
Python Week 5 Main Page
Week5 US Economic Dashboard in Python Lab
Find all divs with attributes
Find all headings with attributes
Regex Grimoire
The non-greedy question mark
Brackets
Google Chrome Developer Tools
VS Code
README
Code and calculations master page
Friends and contacts list
International Contacts Master List
List of examinations and certifications
Practice exercise list
Radio Equipment checklist
Radio Equipment manuals master list
Radio Equipment wishlist
Radio Projects Master Page
Radio readings master list
Signals and Radio Main Page
filescheat
Expressions and Variables
Introduction to Python Data Types
cheatsheet
EiTHwdfUYAAWJXr
Python - How to write test units
Python - Main Page
Python - Making an importable Python module
Python - Proper Python project preparation
Coil_rank
wget_cheat_sheet
Alternatives to 'Getting Better'
AFIRM project's list of Mental Health Contacts
Mental Health Resources Section
A Mostly Complete Chart of Neural Networks
General - Dynamic vs Static and Compiled vs Interpreted
General - Resources for all languages
Javascript - Absolute Basics
JavaScript - Comments
JavaScript - Data types
JavaScript - Emmet
Javascript - Intro to Udemy Course
JavaScript - Main Page
JavaScript - Variable Mutation and Type Coercion
Programming Main Page
hamradiocheatsheet
phoneticalphabet
Radio-Frequency-Spectrum
command_cheat_sheet_cartoon
Housing Overall
Housing Starts
IMF Quarterly GDP Forecasts
Impact On Central Banks And Markets
Impact On Jobs And Professional Opportunities
Impact On Sectors And Companies
Industrial Production
Inflation Rates and Yield Curve
ISM - Manufacturing Index
ISM - Nonmanufacturing Index
Jobless Claims
Leading Indicators
Alternatives to GDP for measuring wellbeing
Economic Indicators List
Fundamentals of Risk Analysis
Master list of economic reports with links
MBA Mortgage Applications
Monetary Policy
New Home Sales
Nonfinancial solutions
OPEC Decisions
Overview of financial market risks
Pending Home Sales
Personal Consumption Expenditures
Predicting Values With Regression
Producer Price Index
Professionals in corporate risk management
Pulling Inflation Measures Together
Quantitative and qualitative data collection for risk management
Regional Monthly Manufacturing Fed Data
Regresion Analysis In Economics
Retail Sales
Risk Management Main Page
S&P Case-Shiller Index
SAAR - Seasonally Adjusted Annual Rate
Scenario Analysis
Sector Impacts On Investments
Serial correlation in Data
Small Business Private Sector Job Contribution 2015
Sources of Economic Data
The Basics of Economic Ansalysis
The importance Of Economic Reports
The importance of the risk management process
The risk management process
Trend Analysis In Forecasting
Understanding Risk In Corporations
Use Economic Forecasts
Weekly Energy Reports
What is Fiscal Policy
What Is Inflation
english_anaphylaxis
english_asthma
english_bat_bite
english_bites_and_stings
english_burn_or_scald
english_choking_adult
english_choking_infant
english_concussion
english_COVID-19
english_CPR_adult
english_CPR_infants
english_diabetes
english_DRSABCD
english_electric_shock
english_epileptic_seizure
english_fainting
english_febrile_convulsion
english_first_aid_kit
english_fracture_and_dislocation
english_frost_bite
english_handrub
english_handwashing
english_heart_attack
english_heat-induced
english_Home_quarantine_plan
english_hypothermia
english_nose_bleed
english_poisoning
english_recovery_position
english_severe_bleeding
english_shock
english_smoke_or_embers_in_eyes
english_snake_bite
english_spider_bites
english_spinal_and_neck_injury
english_sprain_and_strain
english_stroke
english_working_from_home
First Aid Main Page
Badass Latin Threat
Economic_Glossary
Economic Reports Reading List
Difference in Differences Analysis
Direct and indirect risks
Econometrics Main Page
Economic Forecasting Methods
Economic Reports
Economics main page
Economics Resources Page
Employment And Jobs Report
Existing Home Sales
Fed Decisions And The Dot Plot
Fed Press Conference And The Testimony
Financial risk management solution costs - Liquidity and volatility
Financial risk management solution costs - Standardisation and time
Financial risk management solutions
Financial solutions - Futures and forwards
Financial solutions - Interest rate swaps
Financial solutions - Options
Five financial corporate risks
Fixed Effects Regressions
Forecast Accuracy
Four nonfinancial corporate risks
GDP - Consumption
GDP - Governemnt Spending
GDP - Investment
GDP - Net exports and trade
GDP - Regional Fed Estimates
GDP Overview
GDP vs GNP
German Ifo And Eurozone PMI
CEDA Workplace Inequality and GDP Boost Report
Deloitte Millennial Survey
Creative Works Vault Guide
DnD Tome of Millie Hide
The Grimoire of Love and War
Newton's Nightmare
Poem - An Emperor's lamenting thanks
Advanced Regression Analytics
Analysing Results
Auto Sales
Binary Regressions
Building Permits
China PMI
Construction Spending
Consumer Confidence
Consumer Price Index (CPI)
Watson at LivePerson Contact Centres
Bradesco
Module 4 - Watson Use Cases and Resources List
Toby - Watson's use cases
Watson at ADNOC
Watson at Hilton
Watson at LivePerson
Watson At Work
Watson for Oncology, Clinical Trial Matching, and Genomics
Watson IBM Use Cases Certification
Watson in use at Coca-Cola Company
Watson in use at KONE
Pasted image 20201103162748
Pasted image
Professional Machine Learning Workstation - Exxact Quote
Recommended algorithms by usage
Answering tomorrow's legal questions
AR-powered technician support
Claims assessed 25 per cent faster
Confidence in the details
Customer response in seconds - not minutes
Enriching Customer Service
Expected AI spend next year (2021)
Expert service - 60 per cent faster
Expertice on call
Four key principles of Watson
How AI amplifies an employee's role
How to get IBM on board
Maintenance done 90 per cent faster
Market data in plain language
Module 1 - Watson AI Overview
Predicting and preventing breakdowns
Preserving institutional wisdom
The business importance of recording interactions
Transfer Learning - IBM
Watson AI is changing how business is done
Watson Explorer
Watson with Audits and Compliance
Cloud services
Data Science
Module 2 - Available Watson Services
Vendor lock-in
Watson availability
Watson Discovery
Watson Natural Language Understanding
Watson Speech-to-Text
Watson Text-to-Speech
Big 5 personality model
Computer Vision, its applications, and IBM Watson
Module 3 - Advanced Watson Services
Open Source Replacements - TODO
Watson Compare and Comply
Watson Knowledge Catalogue
Watson Machine Learning
Watson OpenScale
Watson Personality Insights
Watson Studio
Watson Tone Analyser
Tpu
Tpu_Chip
Tpu_Device
Tpu_Master
Tpu_Node
Tpu_Pod
Tpu_Resource
Tpu_Slice
Tpu_Type
Tpu_Worker
Training
Training_Set
Trajectory
Transfer_Learning
Translational_Invariance
Trigram
True_Negative_(Tn)
True_Positive_(Tp)
True_Positive_Rate_(Tpr)
Unawareness_(To_A_Sensitive_Attribute)
Underfitting
Unlabeled_Example
Unsupervised_Machine_Learning
Upweighting
User_Matrix
Validation
Validation_Set
Vanishing_Gradient_Problem
Wasserstein_Loss
Weight
Weighted_Alternating_Least_Squares_(Wals)
What we need next in AI - Kevin Kelly
Wide_Model
Width
Editors resist fully automated news process
Journalists' jobs will have to change
Natural Language Generation
Natural Language Processing
News Media industry changes caused by AI
News to audience relationship has changed over 20 years
Opinions on AI replacing jobs
Optimising the editorial work process with AI
Origin stories of AI in News Media and Journalism
Popularity of AI journalistic tools
Questions of intellectual property ownership
Recurring origin stories of AI
Saad and Issa's use of AI in journalism
Sports, fans, and data-chewing bots
Tech has changed Journo hiring priorities
The threat to journalists' jobs
Traditional journalism driving AI, not AI driving journalism
Translating worldwide news with AI
Unsupervised Neural Networks for detecting Fake News
Week 3 - 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
TheAiLadder
We just don't understand understanding
Week 4 - Introduction
Main AI Page
Professional_Certificate_-_Applied_AI
Python_for_Data_Sci_and_AI_Foundational
Numerical_Data
Numpy
Objective
Objective_Function
Offline_Inference
One-Hot_Encoding
One-Shot_Learning
One-Vs.-All
Online_Inference
Operation_(Op)
Optimizer
Out-Group_Homogeneity_Bias
Outliers
Output_Layer
Overfitting
Pandas
Parameter
Parameter_Server_(Ps)
Parameter_Update
Partial_Derivative
Participation_Bias
Partitioning_Strategy
Perceptron
Performance
Perplexity
Pipeline
Policy
Polysemous
Pooling
Positive_Class
Post-Processing
Pr_Auc_(Area_Under_The_Pr_Curve)
Pre-Trained_Model
Precision-Recall_Curve
Precision
Prediction
Prediction_Bias
Predictive_Parity
Predictive_Rate_Parity
Premade_Estimator
Preprocessing
Prior_Belief
Proxy_(Sensitive_Attributes)
Proxy_Labels
Q-Function
Q-Learning
Quantile
Quantile_Bucketing
Quantization
Queue
Random_Forest
Random_Policy
Rank_(Ordinality)
Rank_(Tensor)
Rater
Re-Ranking
Recall
Recommendation_System
Rectified_Linear_Unit_(Relu)
Recurrent_Neural_Network
Regression_Model
Regularization
Regularization_Rate
Reinforcement_Learning_(Rl)
Replay_Buffer
Reporting_Bias
Representation
Return
Reward
Ridge_Regularization
Rnn
Roc_(Receiver_Operating_Characteristic)_Curve
Root_Directory
Root_Mean_Squared_Error_(Rmse)
Rotational_Invariance
Sampling_Bias
Savedmodel
Saver
Scalar
Scaling
Scikit-Learn
Scoring
Selection_Bias
Semi-Supervised_Learning
Sensitive_Attribute
Sentiment_Analysis
Sequence_Model
Serving
Session_(Tf.Session)
Shape_(Tensor)
Sigmoid_Function
Similarity_Measure
Size_Invariance
Sketching
Softmax
Sparse_Feature
Sparse_Representation
Sparse_Vector
Sparsity
Spatial_Pooling
Squared_Hinge_Loss
Squared_Loss
State-Action_Value_Function
State
Static_Model
Stationarity
Step
Step_Size
Stochastic_Gradient_Descent_(Sgd)
Stride
Structural_Risk_Minimization_(Srm)
Subsampling
Summary
Synthetic_Feature
Tabular_Q-Learning
Target
Target_Network
Temporal_Data
Tensor Flow Course Master Page
Tensor
Tensor_Processing_Unit_(Tpu)
Tensor_Rank
Tensor_Shape
Tensor_Size
Tensorboard
Tensorflow
Tensorflow_Playground
Tensorflow_Serving
Termination_Condition
Test_Set
Tf.Example
Tf.Keras
Time_Series_Analysis
Timestep
Tower
Estimator
Example
Experience_Replay
Experimenter'S_Bias
Exploding_Gradient_Problem
Fairness_Constraint
Fairness_Metric
False_Negative_(Fn)
False_Positive_(Fp)
False_Positive_Rate_(Fpr)
Feature
Feature_Column_(Tf.Feature_Column)
Feature_Cross
Feature_Engineering
Feature_Extraction
Feature_Set
Feature_Spec
Feature_Vector
Federated_Learning
Feedback_Loop
Feedforward_Neural_Network_(Ffn)
Few-Shot_Learning
Fine_Tuning
Forget_Gate
Full_Softmax
Fully_Connected_Layer
Gan
Gated Recurrent Unit
Generalization
Generalization_Curve
Generalized_Linear_Model
Generative_Adversarial_Network_(Gan)
Generative_Model
Generator
Gradient
Gradient_Clipping
Gradient_Descent
Graph
Graph_Execution
Greedy_Policy
Ground_Truth
Group_Attribution_Bias
Hashing
Heuristic
Hidden_Layer
Hierarchical_Clustering
Hinge_Loss
Holdout_Data
Hyperparameter
Hyperplane
I.I.D.
Image_Recognition
Imbalanced_Dataset
Implicit_Bias
In-Group_Bias
Incompatibility_Of_Fairness_Metrics
Independently_And_Identically_Distributed_(I.I.D)
Individual_Fairness
Inference
Input_Function
Input_Layer
Instance
Inter-Rater_Agreement
Interpretability
Intersection_Over_Union_(Iou)
Iou
Item_Matrix
Items
Iteration
K-Means
K-Median
Keras
Kernel_Support_Vector_Machines_(Ksvms)
Keypoints
L1_Loss
L1_Regularization
L2_Loss
L2_Regularization
Label
Labeled_Example
Lambda
Landmarks
Layer
Layers_Api_(Tf.Layers)
Learning_Rate
Least_Squares_Regression
Linear_Model
Linear_Regression
Log-Odds
Log_Loss
Logistic_Regression
Logits
Long_Short-Term_Memory_(Lstm)
Loss
Loss_Curve
Loss_Surface
Lstm
Machine_Learning
Majority_Class
Markov_Property
Matplotlib
Matrix_Factorization
Mean_Absolute_Error_(Mae)
Mean_Squared_Error_(Mse)
Metric
Metrics_Api_(Tf.Metrics)
Mini-Batch
Mini-Batch_Stochastic_Gradient_Descent_(Sgd)
Minimax_Loss
Minority_Class
Ml
Mnist
Model
Model_Capacity
Model_Function
Model_Training
Momentum
Multi-Class_Classification
Multi-Class_Logistic_Regression
Multinomial_Classification
N-Gram
Nan_Trap
Natural Language Understanding
Negative_Class
Neural_Network
Neuron
Nlu
Node_(Neural_Network)
Node_(Tensorflow_Graph)
Noise
Non-Response_Bias
Normalization
k-means clustering
AI and differentiation free vs paywalled content
AI and regaining market share
AI is 'polysemous' - accumulates meanings
AI is here, most unaware
AI will purify the use of journalistic skills
Autogeneration of news content
Beware when using traditional messaging theory around AI
Bots for comments moderation
Bots for news content
Can Journalists and AI Cooperate - or is it war
Collating meta-content with AI
Creatives have already been replaced in places
Creativity buffering jobs from AI takeover
Current uses of Natural Language Generated content
A-B_Testing
Accuracy
Action
Activation Function
Active Learning
Adagrad
Agent
Agglomerative_Clustering
AI Glossary
Ar
Area_Under_The_Pr_Curve
Area_Under_The_Roc_Curve
Artificial_General_Intelligence
Artificial_Intelligence
Attention Mechanism
Attribute
Auc_(Area_Under_The_Roc_Curve)
Augmented_Reality
Automation_Bias
Average_Precision
Backpropagation
Bag_Of_Words
Baseline
Batch
Batch_Normalization
Batch_Size
Bayesian_Neural_Network
Bellman_Equation
Bias_(Ethics-Fairness)
Bias_(Math)
Binary_Classification
Boosting
Bounding_Box
Broadcasting
Bucketing
Calibration_Layer
Candidate_Generation
Candidate_Sampling
Categorical_Data
Centroid-Based_Clustering
Centroid
Checkpoint
Class-Imbalanced_Dataset
Class
Classification_Model
Classification_Threshold
Clipping
Cloud_Tpu
Clustering
Co-Adaptation
Collaborative_Filtering
Confirmation_Bias
Confusion_Matrix
Continuous_Feature
Convenience_Sampling
Convergence
Convex_Function
Convex_Optimization
Convex_Set
Convolution
Convolutional_Filter
Convolutional_Layer
Convolutional_Neural_Network
Convolutional_Operation
Cost
Counterfactual_Fairness
Coverage_Bias
Crash_Blossom
Critic
Cross-Entropy
Cross-Validation
Custom_Estimator
Data_Analysis
Data_Augmentation
Data_Set_Or_Dataset
Dataframe
Dataset_Api_(Tf.Data)
Decision_Boundary
Decision_Threshold
Decision_Tree
Deep_Model
Deep_Neural_Network
Deep_Q-Network_(Dqn)
Demographic_Parity
Dense_Feature
Dense_Layer
Depth
Depthwise_Separable_Convolutional_Neural_Network_(Sepcnn)
Device
Dimension_Reduction
Dimensions
Discrete_Feature
Discriminative_Model
Discriminator
Disparate_Impact
Disparate_Treatment
Divisive_Clustering
Downsampling
Dqn
Dynamic_Model
Eager_Execution
Early_Stopping
Embedding_Space
Embeddings
Empirical_Risk_Minimization_(Erm)
Ensemble
Environment
Episode
Epoch
Epsilon_Greedy_Policy
Equality_Of_Opportunity
Equalized_Odds
AI and the time to be creative
AI in the media - Key questions to consider
AI is not magic - Demystify and Apply
AI needs barriers to be successful
AI requires buy-in from leadership
AI's Ratchet effect
AI-specific pain points
An AI initiative's success relies on measurability
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
HistoryOfAI
Introducing AI
Prioritisation
Prove the value of AI
PWC study - AI's impact on GDP by 2030
Tanmay's Journey and take on AI
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 1 - Introduction
What is AI
Women leaders in AI
Activation function
Adaptive resonance theory
Adoption starts with education
Applications for the three types of machine learning
Back-propagation
Best practice - AI lessons from early adopters
Bias
Biological comparisons
Build, deploy or collaborate
Checklist for AI Adoption
Classification - supervised learning
CNNS - Convolutional neural networks
Deep Learning in NLP
Deep Learning
Four main categories of AI implementation
Four stages of human cognition
Functional Patterns
Goal-based Patterns
Hidden Layers
How to get started with Cognitive Technology
IBM's cognitive advantage global market report
Long short-term memory - LSTM
Machine Learning
Modern Approaches in NLP
Natural Language Processing
Neural Networks
Perceptron Learning
Perceptrons
Project Debater - Understanding each other through AI
Q-learning
Quote the numbers - benefits of AI adoption
Recurrent Neural Networks in NLP
Regression - supervised learning
Reinforcement - supervised learning
Reinforcement Learning in NLP
RNNS - Recurrent neural networks
Supervised Learning
Technology Patterns
The testing set
The Three patterns of AI technology usage
The training set
The validation set
Three ways to evaluate models
Training your model
Unsupervised Learning
Week 2 - Introduction
Woodside - AI causes growth in jobs
Storyboard - Change
Storyboard - Considerations
Storyboarding - Character
Storyboarding - Interaction
Storyboarding - Main Page
Storyboarding - Scene
Storyboarding - Trigger
Testing Iot bots for feminism
The Challenge of Conversation Design
1 Stakeholders
2 Purpose
3 Context
4 Bias
5 Design and Representation
6 Conversation Design
7 Data
8 Architecture
The Feminist Design Tool
The role of the conversation designer
User research
Whimsical Chat Designer
AI Service Deployment Main Page
Creating a Discovery Collection
Data vs Insight
Week 1 Main Page
Advanced Watson Discovery
Week 2 Watson Discovery
Creating a Watson Chatbot with Discovery
Integrating Discovery and Assistant
Adding Watson Speech Services
Voice Options for your Chatbot
Deploying your Watson Assistant to Facebook Messenger
Deploying your Watson Assistant to Slack
Deployment Options for Watson Speech Assistant
IDEA-AI Link-related-as-you-type
IDEA-AI Pattern-Idea-Journo matching
IDEA_AI AI-enabled Point-Cameras collecting traffic clangers
IDEA_AI Customised sports commentary
IDEA_AI NLP-powered meta-content creation
Ideas for Newsrooms (LIST)
Floria-Storyboard
Personality-CivO
Response to 'How is feminist conversation design different'
CivO Chatbot Script Design
Stakeholders vs Users
Accessibie Language Guidelines
Chatbot Personality
Conversation Design
Feminist Chatbot Main Page
Feminist goals when creating bots
Feminist Internet
Fxa And Chatbot Railroading
Fxa and the use of 'I' by bots
Gender in conversational systems
Josie's Bot Ethics Framework
Owning bothood in chatbot conversation
NLP Citations for 'The Pile'
Advanced Context Variables
Amazon Alexa
API details for the Flower Shop Assistant
Building AI-powered Chatbots with Watson
Certification - Build AI-Powered Chatbots Without Programming (IBM)
Child Dialogue nodes
Context Variables and Slots
Deploying a Chatbot to Wordpress
Dialogues
Digressions
Dummy WordPress site Credentials
Entities
Fallback child node
Get to know the Analytics tab
Google Dialogflow
How to build a Chatbot with Watson Assistant
IBM Conversational Computation
IBM Notes on Chatbot writing
Implementing Dialogues
Intents
Introduction to Chatbots
Master Slots
Nine Criteraia for evaluating Chatbot vendors
Preparing a Chatbot for deployment
Seven most important conversational computing providers
The First Chatbot - Eliza
What are Chatbots
Data-AI-ML Pipeline creation links
EleutherAI Main Page
NLP Citations Instructions
Agile - Business Analyst Role
AWS Practictioner Certification
Certification Resources
LinkedIn Agile Training Cert Level 1
The Agile Manifesto
The four values of Agile
The Scrum Guide
Adding to the training corpus
Alternatives to Chatterbot - HugginFace
Chatterbot Training Corpus
IBM Watson Assistant can be text or voice
Implementing Chatterbot as a cog for Brook
Main Library - Chatterbot
Main Library HugginFace
The Chatterbot documentation
The Ubuntu training corpus
Why I didn't use Chatterbot
Computer Vision Main File
Applications of Computer Vision
Brainstorming Computer Vision Application Ideas
Computer Vision Week 1 Main File
Fairness in AI - Diversity In Faces dataset
Image Classification
Introduction to Computer Vision
Recent Research in Computer Vision
Computer Vision Week 2 Main File
IBM Watson Visual Recognition API
Computer Vision Week 3 Main File
Image compression and quantisation with K-means Clustering
Image processing with OpenCV (Code)
Object Detection with Haar Classifiers
Object Detection with OpenCV
Python and OpenCV
Computer Vision Week 4 Main File