Machine Learning Study guides, Class notes & Summaries

Machine learning

Machine learning is nothing but training the machine with past data and algorithm.

Machine learning is a concept of training machine with past data and algorithm.

The objective is to write a formal analysis report finishing the objectives set forth in the final case analysis document. A sample template for the final report is provided that contains minimum requirements for the report including the following sections: Introduction, Analysis and Results, Methodology, Limitations and Conclusion. You are required to follow the report template and explain the findings including final models ran for the task.

The main objective is to write a fully executed R-Markdown program performing EDA on the given data on the human activity recognition experiment collected through smart watches.

The main objective is to write a fully executed R-Markdown program performing clustering using DBSCAN and Mixture model on the MNIST / Fashion MNIST (apparel) images that are 28 x 28 pixels resolution. Make sure to describe the final hyperparameter settings of all algorithms that were used for comparison purposes. You are required to clearly display and explain the models that were run for this task and their effect on the reduction of the Cost Function.

The main objective for this week is to write a fully executed R-Markdown program performing clustering using SOM and LLE on the image data containing MNIST (digits) and Fashion MNIST (apparel) images that are 28 x 28 pixels resolution. Make sure to describe the final hyperparameter settings of all algorithms that were used for comparison purposes.

The main objective is to write a fully executed R-Markdown program performing dimension reduction on a high dimensional image data using MNIST (digits) and Fashion MNIST (apparel) images that are 28 x 28 pixels resolution. Make sure to describe the final hyperparameter settings of all algorithms that were used for comparison purposes.

Write a formal report on your findings from the last several weeks for the regression problem of the Nutrition Case Study. The main objective is to write a fully executed R-Markdown program performing regression prediction using the best models found for and comparing the cost functions and R-square values. Make sure to describe the final hyperparameter settings of all algorithms that were used for comparison purposes. Perform EDA on MNIST and Fashion MNIST data and share your findings in the...