Question
subject : Machine Learning 1- Differentiate Machine Learning, Deep Learning, Artificial Intelligence, Data Science and Natural Language Processing, Data mining with example application to each
subject : Machine Learning
1- Differentiate Machine Learning, Deep Learning, Artificial Intelligence, Data Science and Natural Language Processing, Data mining with example application to each one.
2- Write a table of comparison for Linear regression- single and multi-variable, Logistic regression, KNN, Support Vector Machines, Decision Trees, and K-means in terms of algorithm description, process, evaluation, accuracy, advantages and dis-advantages.
3- Implement a K-means algorithm on real time-application, using available dataset.
4- Let's assume we want to play badminton on a particular day say Saturday how will you decide whether to play or not. Let's say you go out and check if it's hot or cold, check the speed of the wind and humidity, how the weather is, i.e. is it sunny, cloudy, or rainy. You take all these factors into account to decide if you want to play or not. Write a Observations of the last ten days and represent, predict accuracy for the concept Play Badminton.
Step by Step Solution
There are 3 Steps involved in it
Step: 1
Get Instant Access to Expert-Tailored Solutions
See step-by-step solutions with expert insights and AI powered tools for academic success
Step: 2
Step: 3
Ace Your Homework with AI
Get the answers you need in no time with our AI-driven, step-by-step assistance
Get Started