Chapter 11, Problem 6RP

I need help to solve problem Manually fit a linear function h_(\theta )(vec(x))=vec(\theta )^(T)*vec(x) based on the following training instances using the stochastic gradient descent algorithm. The initial values of parameters are \theta _(0)=0.1,\theta _(1)=0.1,\theta _(2)=0.1. The learning rate \alpha is 0.1. Please update each parameter at least five times.X_1,X_2,Y 0 0 20 1 31 0 31 1 4

Prove in the Natural deduction system (∃x, ¬P(x)∧Q(x)) from hypotheses ∃x, ¬P(x) and ∀y, Q(y).

implement Bresenham line drawing algorithm:For Slope |m|<1:Either value of x is increasedOR both x and y is increased using decision parameter.

Apply best chaining method to find the required facts for the given conclusion   R1: Cat(x) ^ Dog(y) -> Runs Fast(X, y) R2: Dog(y) ^ Rabbit(z) -> Runs_Fast(Y, Z) R3: Runs Fast (X, y) ^ Runs Fast (Y, z) -> Runs Fast(X, 7) Conclusion: Runs Fast(Tommy, Jony)

5. solve with step max in 30-45 minutes thank u The Marriage Law says that a marriage is said to be valid if there is no sibling relationship. Mr. Yoyok has children Ani and his wife is dead. Mrs. Tatik has a child Tedi and her husband already die. One day, Mr. Yoyok and Mrs. Tatik got married and Ani got acquainted with Tedi and plans to get married too. Prove it using the methodinference that Ani and Tedi's marriage is legal

In Python, Solve using Least Squares method for linear regression given the following data points. x = [1, 2, 3, 4, 5] and y = [1, 2, 4, 4, 6]

We use machine learning to solve problems if they satisfy three conditions. What are these conditions?

Subject : Artificial Intelligence The back-propagation algorithm, when run until a minimum is achieved, always finds the same solution (i.e., weights) no matter what the initial set of weights are. Select one: True False

it is known that a natural. law obeys the quadratic relationship y=ax^2.what is the best line of form y=px+q that can be used to model data and minimise Mean-squared-error, if all of the data points are drawn uniformly at random from the domain [0,1]?