Question

6 - Illustrate (By giving an application example) the four steps of the ML modeling process

6 - Illustrate (By giving an application example) the four steps of the ML modeling process

Homework Answers

Answer #1

Machine Learning is the ability of a machine to learn from the datas of previously occurred event using certain algorithms.

4 stages of Machine learning modelling process are:

a) Managing of data: The first step is collecting, gathering and cleansing of the previous dataset which may be helpful to train the machine in order to learn new things. There may be many incidents, issues and situations from which the datas are taken and managed accordingly for the process of Machine learning.

b) Creating and training the models: Now when the datas are explored and collected, there is a need to implement an algorithm which will help in extracting the useful datas and information for the training of machine. So we need to create such models and algorithms and train them to perform the required function.

c) Model Evaluation: After creating of various models and training them, the key metrics are formed by DSS that evaluates the performances of various models. Using many techniques one model is selected having high accuracy and efficiency.

d) Deploying of model: After selection of model, its get implemented or deployed to the system to perform the task. It also monitors the outcomes of the model and take required steps to improve the efficiency of the model.

For example: If we want to build a chess game that a single player can plays chess with the computer. In this case, we first need to collect and explore the previously moves and steps taken in the chess as a good move. Then an algorithm needs to be designed that performs some functions required for the learning. Then a model need to be selected from many models which will give high accuracy and is effective. The model selected is then deployed on the game. So, the computer will think of the best move by taking help of recent moves which was taken to win the game. Then with the help of those datas the computer performs the moves. This makes the game to improve itself everytime and will perform the best moves like how a human thinks.

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