AI Solver - Revision history

BPeat at 12:00, 6 March 2024

2024-03-06T12:00:11Z

2024-03-06T11:59:31Z

2024-03-06T11:56:50Z

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@@ Line 21: / Line 21: @@
 Lets get going?  I want to...
-* ...detect:
+* ...detect patterns or relationships ... [[Causation vs. Correlation|Correlation analysis]] or [[Forecasting|Time series analysis]]
-** ...patterns or relationships ... [[Causation vs. Correlation|Correlation analysis]] or [[Forecasting|Time series analysis]]
+** [[...predict values]]/quantity/outcomes
-*** [[...predict values]]/quantity/outcomes
+** [[...predict categories]] so I can classify each data point into a specific groups
-*** [[...predict categories]] so I can classify each data point into a specific groups
+** [[...cluster]] data points to discover relationships and structure; find hidden structure
-*** [[...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

@@ Line 22: / Line 22: @@
 * ...detect:
-** ... patterns or relationships ... [[Causation vs. Correlation|Correlation analysis]] or [[Forecasting|Time series analysis]]
+** ...patterns or relationships ... [[Causation vs. Correlation|Correlation analysis]] or [[Forecasting|Time series analysis]]
-** [[...predict values]]/quantity/outcomes
+*** [[...predict values]]/quantity/outcomes
-** [[...predict categories]] so I can classify each data point into a specific groups
+*** [[...predict categories]] so I can classify each data point into a specific groups
-** [[...cluster]] data points to discover relationships and structure; find hidden structure
+*** [[...cluster]] data points to discover relationships and structure; find hidden structure
-** ...make a [[Recommendation]]
+*** ...make a [[Recommendation]]
 * ...identify the most important features (attributes) or perform [[Dimensional Reduction]]
 * [[...find outliers]]; unusual points, anomaly detection

@@ Line 21: / Line 21: @@
 Lets get going?  I want to...
-* ...detect patterns...
+* ...detect:
 ** [[...predict values]]/quantity/outcomes
 ** [[...predict categories]] so I can classify each data point into a specific groups

@@ Line 31: / Line 31: @@
 ** [https://hbr.org/2023/03/a-framework-for-picking-the-right-generative-ai-project 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)]]
-* ... [[Reinforcement Learning (RL) |pathfinding]]; learn a series of actions; find the best/shortest route to an objective; win a game, traveling salesman problem
+* ... [[Reinforcement Learning (RL) |pathfinding]]; learn a series of actions; find the best/shortest route to an objective; win a game, traveling salesman problem ... [[Q Learning]], [[Deep Q Network (DQN)]]
-* ... train [[Assistants]], [[Personal Companions]], or [[Agents]] to make optimal decisions or sequences of actions in an environment; use [[Reinforcement Learning (RL)]] algorithms (e.g., [[Q Learning]], [[Deep Q Network (DQN)]])
+* ... train [[Assistants]], [[Personal Companions]], or [[Agents]]
 _____________________________________________________________________________________

@@ Line 32: / Line 32: @@
 * ... automate processes; understand (semantic parsing) complete sentences, understanding synonyms of matching words, [[Sentiment Analysis]], or [[Speech Recognition]], (speech) translation ...[[Natural Language Processing (NLP)]]
 * ... [[Reinforcement Learning (RL) |pathfinding]]; learn a series of actions; find the best/shortest route to an objective; win a game, traveling salesman problem
 _____________________________________________________________________________________

@@ Line 14: / Line 14: @@
 </script>
 }}
-* [[AI Solver]] ... [[Algorithms]] ... [[Algorithm Administration|Administration]] ... [[Model Search]] ... [[Discriminative vs. Generative]] ... [[Optimizer]] ... [[Train, Validate, and Test]]
+* [[AI Solver]] ... [[Algorithms]] ... [[Algorithm Administration|Administration]] ... [[Model Search]] ... [[Discriminative vs. Generative]] ... [[Train, Validate, and Test]]

@@ Line 41: / Line 41: @@
 * [https://www.kdnuggets.com/2020/05/guide-choose-right-machine-learning-algorithm.html An easy guide to choose the right Machine Learning algorithm | Yogita Kinha - KDnuggets]
 * [https://dataconomy.com/2023/04/best-ai-models-types-how-to-choose-what-is/  Everything you should know about AI models | Eray Eliaçık - Dataconomy]
 https://cdn-images-1.medium.com/max/600/1*iPIGiJIcQjzZheEgTzOnhA.png
@@ Line 47: / Line 48: @@
 *[https://docs.microsoft.com/en-us/azure/machine-learning/studio/algorithm-choice How to choose algorithms for Microsoft Azure Machine Learning | Microsoft]
 *[https://docs.microsoft.com/en-us/azure/machine-learning/studio/studio-overview-diagram Overview diagram of Azure Machine Learning Studio capabilities | Microsoft]
 <img src="https://docs.microsoft.com/en-us/azure/machine-learning/studio/media/studio-overview-diagram/ml_studio_overview_v1.1.png" width="1225" height="900">