AI Solver

• AI Solver ... Algorithms ... Administration ... Model Search ... Discriminative vs. Generative ... Optimizer ... Train, Validate, and Test

Aids in selecting a starting algorithm for your solution; at that point discover similar algorithms to see which works best for your task (and data) at hand.

Lets get going? I want to...

• ...detect patterns...
  • ...predict values/quantity/outcomes
  • ...predict categories so I can classify each data point into a specific groups
  • ...cluster data points to discover relationships and structure; find hidden structure
  • ...make a Recommendation
• ...identify the most important features (attributes) or perform Dimensional Reduction
• ...find outliers; unusual points, anomaly detection
• ...find a Generative AI-type solution to identify the most plausible theory among competing explanations
  • A Framework for Picking the Right Generative AI Project | A Framework for Picking the Right Generative AI Project | M. Zao-Sanders & M. Ramos - Harvard Business Review
• ... automate processes; understand (semantic parsing) complete sentences, understanding synonyms of matching words, Sentiment Analysis, or Speech Recognition, (speech) translation ...Natural Language Processing (NLP)
• ... pathfinding; learn a series of actions; find the best/shortest route to an objective; win a game, traveling salesman problem

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• Algorithms & Neural Network Models to learn about approaches used to solve specific AI-related problems
• Model Search
• How to pick an algorithm | Willem Meints
• Model Mindmap | Mindmeister
• An easy guide to choose the right Machine Learning algorithm | Yogita Kinha - KDnuggets
• Everything you should know about AI models | Eray Eliaçık - Dataconomy

Microsoft Azure Studio Cheatsheet

• How to choose algorithms for Microsoft Azure Machine Learning | Microsoft
• Overview diagram of Azure Machine Learning Studio capabilities | Microsoft

Scikit Machine Learning Map

SAS

• AI

Notes

• Notes on Artificial Intelligence, Machine Learning and Deep Learning for curious people | Özgür Genç - Towards Data Science