Q 1) How will you

choose the right algorithm?

·

Using past data and optimize future

result is called as machine learning. There is various techniques using which

we can select the right algorithm.

·

Depending upon the two things the

algorithm is choose. First is Data and second one is target value.

·

If you have target value then we will

select the supervised learning.

·

If your target value is like A/B/C or

Yes/No then we will select “classification”.

·

And if the target value is numeric then

we will go far the “regression”.

·

And if you don’t have any target value

then go far the unsupervised learning i.e “clustering”. Clustering means

putting the similar type of data together.

Q 2)Write in detail

about the different steps that you will perform to develop the m/c learning

algorithm for a given scenarios?

There are following

steps which is required to develop a m/c learning application.

1)Collect a data.

2)Prepare a i/p data.

3)Analyze a i/p data.

4)Train the algorithm.

5)Test the algorithm.

6)Use it.

spam detection:

For spam detection we

choose decision tree algorithm. Decision tree algo. Build a tree structure base

on the given training set of data, which is used to classify unlabeled data.

for spam detection we use itrative

dichotomiser 3 (ID3) algorithm.

This algo. Build a decision tree based on entropy and the information gain.

Automated Breaking:

Automated breaking system is used in self-driving cars. There are three major task that need to be

consider while developing the algorithm the are as follows:

·

The detection of an

Object

·

The Identification of

an Object.

·

The Object

Localization and Prediction of Movement of the object.

The m/c learning algo. Classify this above

steps in to following classes. decision

matrix algorithms, cluster algorithms, pattern recognition algorithms and

regression algorithms.

Stock market prediction

For the stock-market prediction the regression technique is

used. Suppose we want to compare the bank nifty price affect the canara’s stock

price. In this case the algo. Will take the first 40 days data as a tanning set

and last 20 days data as a test data.

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