ITC Analytics Accelerator: Difference between revisions
Jump to navigation
Jump to search
| Line 51: | Line 51: | ||
== Five concepts == | == Five concepts == | ||
== Statistical Learning == | |||
* Frame of understanding the data based on statistics | |||
* Eg: L.Regression: Used in predictive analytics | |||
* Linear model: regression or classification | |||
== Inference vs prediction== | |||
* Inference : process of evaluating the relationship of predictor and the response | |||
* Prediction: process of using a model that is yet to happen | |||
== Flexibility vs Interpretability of models== | |||
== Regression vs classification== | |||
== Supervised vs unsupervised learning == | |||
=Role of a Translator= | =Role of a Translator= | ||
Revision as of 09:24, 28 September 2023
OVERVIEW
5i: Ideation: defining Intelligence: process of prediciton Inception: model building Intervention: Developing a segment Independance: Live DATA ENGINEERING collection Sructuring Cleaning ALGORITHUMS Classification & Regression Decision Tree Tree based Algorithums (RF model Ensemble models MODEL PERFORMANCE Model selection AI & ML ML supervised Unsupervised DEEP LEARNING Reinforment learning CNN IMPLEMENTATION of ADVANCED ANALTICS Tracking CHANGE MANAGEMENT Piller & Practics
Advanced Analytics
Value of AA
- Evolution: Excel > Storage > Tableu > Alerts > predicting the future > ML >
- Applications:
- Descriptive (historical. advanced statistics) >
- Predictive (Future. Uses ML. detection of fraud) >
- Prescriptive (influence the future. Data driven decision making); Optimization;
Five concepts
Statistical Learning
- Frame of understanding the data based on statistics
- Eg: L.Regression: Used in predictive analytics
- Linear model: regression or classification
Inference vs prediction
- Inference : process of evaluating the relationship of predictor and the response
- Prediction: process of using a model that is yet to happen