...predict values - Revision history

BPeat at 03:52, 2 March 2024

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BPeat at 11:38, 17 August 2023

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BPeat at 01:42, 6 July 2023

2023-07-06T01:42:30Z

BPeat at 18:08, 27 June 2023

2023-06-27T18:08:43Z

BPeat at 02:00, 12 June 2023

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BPeat at 18:30, 9 May 2023

2023-05-09T18:30:35Z

BPeat: Text replacement - "http:" to "https:"

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Text replacement - "http:" to "https:"

BPeat at 21:31, 13 September 2020

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BPeat at 21:26, 13 September 2020

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BPeat at 21:16, 13 September 2020

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 * ...predict a distribution rather than point prediction with labeled data, then try the [[Fast Forest Quantile Regression]]
 * ...accuracy matters, fit where small deviations are not penalized, then try [[Support Vector Regression (SVR)]]
-* ...accuracy matters, I can NOT accept a long training time, and have little memory, then try a [[Decision Forest Regression]]
+* ...accuracy matters, I can NOT accept a long training time, and have little [[memory]], then try a [[Decision Forest Regression]]
-* ...accuracy matters, I can NOT accept a long training time, then try a [[Gradient Boosting Machine (GBM)]] with large memory fooprint
+* ...accuracy matters, I can NOT accept a long training time, then try a [[Gradient Boosting Machine (GBM)]] with large [[memory]] fooprint
 * ...accuracy matters, I can accept a long training time, then try a [[General Regression Neural Network (GRNN)]]
 * ...accuracy matters, I can allow long training times, then try the [[Neural Network#Deep Neural Network (DNN)|Deep Neural Network (DNN)]]

@@ Line 23: / Line 23: @@
 ** [https://bookdown.org/max/FES/engineering-numeric-predictors.html Feature Engineering and Selection: A Practical Approach for Predictive Models - 6 Engineering Numeric Predictors | Max Kuhn and Kjell Johnson]
 ** [https://docs.aws.amazon.com/machine-learning/latest/dg/regression-model-insights.html Regression Model Insights |] [[Amazon | Amazon Web Services]]
-* [[Excel]] ... [[LangChain#Documents|Documents]] ... [[Database]] ... [[Graph]] ... [[LlamaIndex]]
+* [[Excel]] ... [[LangChain#Documents|Documents]] ... [[Database|Database; Vector & Relational]] ... [[Graph]] ... [[LlamaIndex]]
 When a value is being predicted, as with stock prices, supervised learning is called regression. Prediction problems (e.g. What will the opening price be for shares tomorrow?) are a subset of regression problems for time series data. [https://www.infoworld.com/article/3394399/machine-learning-algorithms-explained.html Machine learning algorithms explained | Martin Heller - InfoWorld]

← Older revision		Revision as of 01:42, 6 July 2023
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	___________________________________		___________________________________

−	* [[Capabilities]]

	* [https://medium.com/@srnghn/machine-learning-trying-to-predict-a-numerical-value-8aafb9ad4d36 Machine Learning: Trying to predict a numerical value \| Stacey Ronaghan - Medium]		* [https://medium.com/@srnghn/machine-learning-trying-to-predict-a-numerical-value-8aafb9ad4d36 Machine Learning: Trying to predict a numerical value \| Stacey Ronaghan - Medium]

@@ Line 24: / Line 24: @@
 ** [https://bookdown.org/max/FES/engineering-numeric-predictors.html Feature Engineering and Selection: A Practical Approach for Predictive Models - 6 Engineering Numeric Predictors | Max Kuhn and Kjell Johnson]
 ** [https://docs.aws.amazon.com/machine-learning/latest/dg/regression-model-insights.html Regression Model Insights |] [[Amazon | Amazon Web Services]]
+* [[Excel]] ... [[LangChain#Documents|Documents]] ... [[Database]] ... [[Graph]] ... [[LlamaIndex]]
 When a value is being predicted, as with stock prices, supervised learning is called regression. Prediction problems (e.g. What will the opening price be for shares tomorrow?) are a subset of regression problems for time series data. [https://www.infoworld.com/article/3394399/machine-learning-algorithms-explained.html Machine learning algorithms explained | Martin Heller - InfoWorld]

@@ Line 14: / Line 14: @@
 * ...accuracy matters, I can accept a long training time, then try a [[General Regression Neural Network (GRNN)]]
 * ...accuracy matters, I can allow long training times, then try the [[Neural Network#Deep Neural Network (DNN)|Deep Neural Network (DNN)]]
-* ...forecast the future [[Forecasting]] using [[Excel - Data Analysis#Excel - Forecasting|Excel]]
+* ...forecast the future [[Forecasting]] using [[Excel#Excel - Forecasting|Excel - Forecasting]]
 ___________________________________

@@ Line 20: / Line 20: @@
 * [[Capabilities]]
-* [http://medium.com/@srnghn/machine-learning-trying-to-predict-a-numerical-value-8aafb9ad4d36 Machine Learning: Trying to predict a numerical value | Stacey Ronaghan - Medium]
+* [https://medium.com/@srnghn/machine-learning-trying-to-predict-a-numerical-value-8aafb9ad4d36 Machine Learning: Trying to predict a numerical value | Stacey Ronaghan - Medium]
 * [[Evaluating Machine Learning Models]]
-** [http://bookdown.org/max/FES/engineering-numeric-predictors.html Feature Engineering and Selection: A Practical Approach for Predictive Models - 6 Engineering Numeric Predictors | Max Kuhn and Kjell Johnson]
+** [https://bookdown.org/max/FES/engineering-numeric-predictors.html Feature Engineering and Selection: A Practical Approach for Predictive Models - 6 Engineering Numeric Predictors | Max Kuhn and Kjell Johnson]
-** [http://docs.aws.amazon.com/machine-learning/latest/dg/regression-model-insights.html Regression Model Insights |] [[Amazon | Amazon Web Services]]
+** [https://docs.aws.amazon.com/machine-learning/latest/dg/regression-model-insights.html Regression Model Insights |] [[Amazon | Amazon Web Services]]
-When a value is being predicted, as with stock prices, supervised learning is called regression. Prediction problems (e.g. What will the opening price be for shares tomorrow?) are a subset of regression problems for time series data. [http://www.infoworld.com/article/3394399/machine-learning-algorithms-explained.html Machine learning algorithms explained | Martin Heller - InfoWorld]
+When a value is being predicted, as with stock prices, supervised learning is called regression. Prediction problems (e.g. What will the opening price be for shares tomorrow?) are a subset of regression problems for time series data. [https://www.infoworld.com/article/3394399/machine-learning-algorithms-explained.html Machine learning algorithms explained | Martin Heller - InfoWorld]