Machine learning in Data Science

 During our task today we learnt about the basics on Machine Learning:

- Machine learning is the application of Artificial Intelligence and give computers a set of data, allowing them to use the data to sort, filter and learn more through a given algorithm.

- As the Machine/computer is given more data sets, it becomes more accurate and more things can be added to the algorithm, improving the reliability and accuracy

Monkey - Biting or non-biting

The task that we did today requires us to create an algorithm to determine whether a monkey will bite or not. To do this task, we had to identify the right classifiers that can be used to create a decision tree. Some classifiers/factors that can be identified with each monkey include:

- Mouth Open/Closed

- Glasses

- Bowtie

- Mask

- Bandage

- Messy, non-messy hair

- Teeth 

- Tongue stuck out

- One eye open/Both eyes closed/Both eyes open

- Smiling/sad

Using this classifiers we can make a decision tree and ask questions as all these are booleans (true or false)

For example, we can ask 'Is the monkey's mouth open?' If the answer is yes, we can go on to look at all the monkeys with their mouth open, look for more classifiers and ask more questions in order to filter it down

Once we have created a algorithm using the training set, we can use the testing data set to test whether the algorithm works and adjust accordingly