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Machine-learning--week-3-assignment

#Assignment for week 3

@Define machine learning? ans:machine learning is a part of AI in which machine learns and improves by itself with experience without any explicit programming.

@How do you know if a problem is machine learning problem or not? If a problem has a certain class of tasks ,with an experience E, if it improves its performance measure P, then it is said to be a ML problem.

@Which of the following is a ML problem? flipkart e-commerce site and YouTube home page sites can be called as the Machine learning algorithms as : 1)Flipkart site has huge data pertaining to what users can choose depending on the type of purchases the customer makes, eg:it gives the options to buy things which other people bought after buying a perticular item, maker the user to buy more. 2)YouTube home page can use machine learning algorithm to recommend the user to watch videos depending upon the last video watched. eg:advertisements played before watching a particular video,often relate to the category of video being watched.

@Design suitable PTE parameters for the checkers programe to formulate it as a well posed machine learning problem. *class of the Tasks(T):to play the checkers *Performance measure(P):percent of games won against opponents *Training experience (E):playing practice games against itself

@Define characteristics of the speech recognition problem as a well posed machine learning. ans:Task(T):Recognising and classifying the words with in the input. *Performance measure(P)::Number of sentences correctly classlified and answered to the question asked. *Training experience (E):A database of voice recognition system, which responds accordingly when encountered with same type or the sense of w words.

Answers to the questions I could'nt answer in the handwritten notes.

Akanksha Tonne

PES1201700275

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