Currently a Marketing summer intern at ValueFirst Digital Media Pvt. Ltd ...
Full BioCurrently a Marketing summer intern at ValueFirst Digital Media Pvt. Ltd
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A Step-by-step guide to master Machine Learning
Machine learning is a solution for the problem of elicitation where general rules are learned from specific observed data from the domain.
The proposition of machine learning on several industries, professional field and the personnel are considered astounding by some and appalling. Ones outlook will largely depend on your profession and the work one does.
- Support Vector Machines
- Gradient Boosting Machines
- Random Forest
- Bagged Decision Trees
- Neural Networks
- Investigate a suite of simpler more interpretable models, such as
- Generalized Linear Models
- LASSO and Elastic Net Regularized Generalized Linear Models
- Multivariate Adaptive Regression Splines
- K Nearest Neighbors
- Naive Bayes
- The speed of spread of accuracy on a problem across models.
- Having a model that is simple to identify with and clarify to others.
- A reasonably elevated worth model very quickly to adapt and apply in the algorithms too.
- More complex methods are slower to run and return a result.
- Sometimes you want the complex mode over the simpler models
- The performance ceiling is pursued first, rather than last when there might be time and pressure and motivation to extract the most from the best methods