3. Recall that the logistic regression hypothesis is defined as: hol x) = g(@" x). 2 where function g is the sigmoid function. The sigmoid function is defined as: 1+ Implement the sigmiod function so it can be called by the rest of your program. When done, try testing a few values by calling sigmoid(x) in the code section below. For large positive values of x, the sigmoid should be close to 1, while for large negative values, the sigmoid should be close to 0. Evaluating sigmoid(0) should give you exactly 0.5. Your code should also work with vectors and matrices. For a matrix, your function should perform the sigmoid function on every element. * Provide different input values and check your implementation signoid(e) function g = signoid(z) 8- zeros(size(z)); [m, n]=size(z); % Instructions: Compute the signoid of each value of z (z can be a matrix, vector or scalar). for 1-1:m for j-1:n (1,j)=1/(1+exp( -z(i,j))); end end end

3. Recall that the logistic regression hypothesis is defined as: hol x) = g(@" x). 2 where function g is the sigmoid function. The sigmoid function is defined as: 1+ Implement the sigmiod function so it can be called by the rest of your program. When done, try testing a few values by calling sigmoid(x) in the code section below. For large positive values of x, the sigmoid should be close to 1, while for large negative values, the sigmoid should be close to 0. Evaluating sigmoid(0) should give you exactly 0.5. Your code should also work with vectors and matrices. For a matrix, your function should perform the sigmoid function on every element. * Provide different input values and check your implementation signoid(e) function g = signoid(z) 8- zeros(size(z)); [m, n]=size(z); % Instructions: Compute the signoid of each value of z (z can be a matrix, vector or scalar). for 1-1:m for j-1:n (1,j)=1/(1+exp( -z(i,j))); end end end

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Your checkWinner function should determine whether or not the game is over. If the game is over, it should print who won (if anyone), and return true. If the game is not over, it should return false. The game is over if someone wins by getting three X's or three O's in a row, column or diagonal. So there are 8 different combinations of 3-in-a-row moves. You may assume that the board has a size of 3 (length and width). The TicTacBoard.java file I'm giving you uses a variable for that size, but you can assume it's always 3. The game is also over if the board is full but nobody won. I recommend you write some other functions to help in determining if the game is over. Remember you should never copy and paste code if you can avoid it. Write a function to perform a common, generalizable task, and call that function every time you need it. (Like I did with my dispRow method.) Please follow the standard conventions for indentation, meaningful variable names, etc. like the examples in class…
Your checkWinner function should determine whether or not the game is over. If the game is over, it should print who won (if anyone), and return true. If the game is not over, it should return false. The game is over if someone wins by getting three X's or three O's in a row, column or diagonal. So there are 8 different combinations of 3-in-a-row moves. You may assume that the board has a size of 3 (length and width). The TicTacBoard.java file I'm giving you uses a variable for that size, but you can assume it's always 3. The game is also over if the board is full but nobody won. I recommend you write some other functions to help in determining if the game is over. Remember you should never copy and paste code if you can avoid it. Write a function to perform a common, generalizable task, and call that function every time you need it. (Like I did with my dispRow method.) Please follow the standard conventions for indentation, meaningful variable names, etc. like the examples in class…
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please code in python MCQ are a very popular form of assessment because they can be automatically graded…and the students can choose an answer at random if they don’t know.The goal of this exercise is to write a function scoreMCQ(attempt, correct), where attempt is a string that contains the answers of the student and correct is a string with the correct answers.The function should return the number of correct answers.Check first that both strings have the same length, otherwise raise an exception.If both strings are empty the score should be 0 of course.To test your code, you can copy paste the following assert statements as your main function:assert(scoreMCQ("","")==0), "First test failed"assert(scoreMCQ("TFTF","TTTT")==2), "Second test failed"assert(scoreMCQ("TTTT","TTTT")==4), "Third test failed"assert(scoreMCQ("CCCC","ABCD")==1), "Fourth test failed"print("All tests succesfull")
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A proposition Q follows from a proposition P, if Q is never false when P is true. Suppose we want to check this in a particular case. Which of the following is correct? Select one: a. We need to check that whenever P is false, Q is also false. b. We need to check that whenever Q is false, P is also false. c. We need to check that whenever Q is true, P is also true. d. We need to check that Q is true when P is true, and that Q is false when P is false.
This is a programming assignment. You can use any programming language. Program a GeneticAlgorithm to find an integer number between 0 and 31 that maximizes the function f (x) = x2.The initial procedure is given as below.• Population size: 6• Crossover probability: 100%• Mutation probability: 5%• Terminating criteria:o When your program produces an average of candidates is equal to or greater than29, then you can accept it as a terminating condition.• Fitness function:o You can use the function itself (f (x) = x2)as your fitness function.1. For the 1st generation, you need to print the process and result of selection, crossover, andmutation operation.you need to print the corresponding integer values and bits (binary values)of selection, crossover, and mutation operation. You also need to decide andprint the crossover point and the mutation point.2. From the 2nd generation, you do not have to print all results of selection, crossover,mutation operations. You can just print the result…
Rolling a single six-sided die produces a random number between 1 and 6 with a uniform distribution. Rolling two dice produces a number between 2 and 12 with a binomial distribution. In this lab you will simulate a number of dice rolls and graph the number of occurrences of each value. 1) Create a function called rollDie() that takes no parameters, and returns a random value between 1 and 6. Do not seed the random number generator in this function. int rollDie() 2) Create a function called initArray() that takes a data array and the size of the array as parameters and fills each element with the summed results of rolling two dice. Do not assume that the data array has been initialized. void initArray(int data[], int size) 3) Create a function called sortArray() that takes an array and the size of the array as parameters, and sorts the array using the sediment sort. void sortArray(int data[], int size) The sediment sort works as follows: start with the second element in the array if…
Write a function that takes in two variables, x, and y. The function should compute the correlation coefficient( Pearson's, Spearman, and Kendall). Perform a hypothesis test on the correlation coefficient using the function cor. test() Using Rstudio
Implement one or more functions to meet the expectation as follows: The call of division(5, 2); will give 2 and the call of division(5.0, 2.0); will give 2.5. Provide the definition(s) only!
attached image contains external data Question 1 a) The world population data spans from 1960 to 2017. We'd like to build a predictive model that can give us the best guess at what the future or past population of a particular country was or might be. First, however, we need to formulate our data such that sklearn's Ridge regression class can train on our data. To do this, we will write a function that takes as input a country name and return a 2-d numpy array that contains the year and the measured population. Function Specifications: Should take a str as input and return a numpy array type as output. The array should only have two columns containing the year and the population, in other words, it should have a shape (?, 2) where ? is the length of the data. The values within the array should be of type int. Hint: You'll need to use both the the population and country map dataframes given above. def get_year_pop(country_name): b) Now that we have have our data, we…
You shouldn't date someone whose age is less than half your own age plus 7. Write a boolean-valued function can_date(age1, age2) that takes the ages of two people and return True if they can date. The ages are not in any particular order - the bigger one may be either first or last.