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Q1:A All data need to be processed in training the SVM B.SVM is a linear classifier OC. All data need to be processed in testing of SVM OD. All data contribute to the optimal solution of SVMSee Answer
Q2:QUESTION 5 For a 2-D hyperplane with parameter w=(1, 2) and bias w_0=3. What is the absolute value of the geometric margin for point x=(10, -5)? (Round the answer to two decimal places)See Answer
Q3: Assignment 7: Exploring 3D Sinusoidal Data using Artificial Neural Networks DTSC 680: Applied Machine Learning Name: Directions and Overview The main purpose of this assignment is for you to gain experience using artificial neural networks to solve simple regression problems. In this assignment, you will fit a neural network to a noisy 3D sinusoidal data set. You will use a Sequential model that can be trained very quickly on the supplied data, so I want you to manually adjust hyperparameter values and observe their influence on the model's predictions. That is, you should manually sweep the hyperparameter space and try to hone in on the reasonable hyperparameter values, again, manually. (Yep, that means guess-and-check: pick some values, train the model, observe the prediction curve, repeat.) So, play around and build some models. When you are done playing with hyperparameter values, you should finish by building an ANN that models the data reasonably well! You should be able to train a model and use it to predict a curve at least as good as mine, but your goal should be to obtain a smoother and less erratic curve. (Side Note: Achieving a less erratic prediction curve could be done either by building a better model, OR by sorting the data more intelligently thereby plotting a prediction curve that looks better. I propose the ideal line is created by sorting the data in such a way that the resulting line minimizes the arc length of the curve. You don't need to worry about any of this, however you do need to generate a figure with a descent-looking prediction curve superimposed on the data.)See Answer
Q4:An alternative extra credit opportunity is to read the paper: Code Code Evolution: Understanding How People Change Data Science Notebooks Over TimeSee Answer
Q5:Assignment 2: Exploring Tree-Based Regression Methods for 2D Linear DataSee Answer
Q6: Create the following matrix by typing one command. Do not type individual elements explicitly.Q5 = Paragraph Arial 14рхSee Answer
Q7: Q 2.Consider the following Hotel, Room, Booking and Guest schemas in a DBMS. The hotel Nois the primary key for Hotel table and room No is the primary key for the Room relation. Booking stores the details of room reservations and booking No is the primary key. Guest stores the guests' details and guest No is the primary key.CLO3 Hotel(hotelNo, hotelName, hotelType, hotelAddress, hotelCity, numRoom) Room(roomNo, hotelNo, roomPrice) Booking (bookingNo, hotelNo, guestNo, checkIn, checkOut, totalGuest, roomNo) Guest(guestNo, firstName, lastName, guestAddress) (a) Write the SOL to list full details of all the hotels (b) Write the SQL to list full details of all the hotels in New York. (c) Write the SQL to list the guests in New York in descending order by last name.See Answer
Q8: 2. To fully test this circuit, you should test all four combinations of open and close the switches. In the table on Moodle record which combinations cause the bulb to light.See Answer
Q9: We are now ready to simulate. Press the "Play' button to start the interactive simulation See Answer
Q10: Q 1.Design an entity-relationship diagram for the following scenario: Hospitals with (hospital number, number of beds, name, and address) employ doctors (name, social security number, address, and subject area), each doctor treats several patients (name, gender,address, date of birth and patient number), and also a patient may be treated by several doctors. Each nurse (name, address, department, age, and social security number) is responsible for several rooms(room number and number of beds), and several patients may occupy one room.See Answer
Q11: Q 7.5 Consider the dataset y = [1,2, 3, 4, c, where c is some constant greater than 4. As c oo, what happens to 0Aand O3? O 0A and 0B both increase O 0A increases, but 0B remains constant O Both 0A and OB remain constant O 0A remains constant, but 0B increasesSee Answer
Q12: \text { Q2 } Suppose you are a famous country music artist. Every time you release a song, it lands on the Spotify Top 200 chart ("the charts") with a probability of , independent of all other factors.For the first four parts of this question, assume that you choose to release 12 songs in 2020. Q 2.1 What is the probability that exactly half of the songs you release end up on the charts in 2020? Select all that apply. $Extra \left or missing \right$ \right)\left(\frac{2}{3}\right)^{k}\left(\frac{1}{3}\right)^{12-k}-\sum_{k=7}^{12}\left( $\begin{matrix} 12 \\ k \end{matrix}$ \right)\left(\frac{2}{3}\right)^{k}\left(\frac{1}{3}\right)^{12-k} \ \left( $\begin{matrix} 12 \\ 6 \end{matrix}$ \right)\left(\frac{2}{3}\right)^{6}\left(\frac{1}{3}\right)^{6} \ \left( $\begin{matrix} 12 \\ 6 \end{matrix}$ \right)\left(\frac{1}{3}\right)^{6} \ 1-\sum_{k=0}^{5}\left( $\begin{matrix} 12 \\ k \end{matrix}$ \right)\left(\frac{2}{3}\right)^{k}\left(\frac{1}{3}\right)^{12-k} \end{array}See Answer
Q13: Q 2.5 Now suppose you decide to release n songs in 2020, where n is some even integer. Which of the following functions f(n) correctly return the probability that at least half of the songs you release in 2020 end up on the charts? $\begin{aligned} f (n) = 1 - \sum_{k = 0}^{\frac{n}{2}} (\begin{matrix} n \\ k \end{matrix}) {(\frac{2}{3})}^{k} {(\frac{1}{3})}^{n - k} \\ f (n) = (\begin{matrix} n \\ \frac{n}{2} \end{matrix}) \frac{2^{\frac{n}{2}}}{3^{n}} \\ f (n) = \sum_{k = \frac{n}{2}}^{n} (\begin{matrix} n \\ k \end{matrix}) \frac{2^{k}}{3^{n}} \\ f (n) = \sum_{k = \frac{n}{2} + 1}^{n} (\begin{matrix} n \\ k \end{matrix}) {(\frac{2}{3})}^{k} {(\frac{1}{3})}^{n - k} \\ None of the above \end{aligned}$ See Answer
Q14: 2. Define queries in SQL to obtain the following information: (a) The names of all products manufactured by 'Samsung', in ascending ordered by price. (b) The names of all products that had at least one rating of 3 or more stars. No duplicate names should be returned. (c) For all products, their name, average star rating, and most recentrating date. The results should be in descending order of averagestar rating. (d) For all cases in which the same customer rated the same productmore than once, and in some point in time gave it a lower rating2See Answer
Q15: You are given a dataset that contains occurrences of the Kettle in a single-occupancy house for the duration of a month. In this dataset, 'ts'column indicates the unix-timestamp (this can be converted to date and time) that the kettle was turned ON; and the 'second' column indicates the duration in seconds that the kettle was ON. Task 1: Find routines in the data, evaluate their periodicities and variabilities. For instance, a routine could be "breakfast", its periodicity might be every day at a certain time and variability might be a time window within the routine occurred. Task 2: Detect anomalies whenever there is a deviation from the routines. Please provide a script which attempts task 1 and 2. Please do not provide a script without explanations. See Answer
Q16: [Part B] - Calculate using scoring: +1 (matched set pixels), 0 (matched non set pixel), -1 (mismatched pixels) See Answer
Q17: 2) Please download "Virtual Box" t(www.virtualbox.org) he latest release and install. Make sure you get the 64 bit for windows executable. Please follow the instructions on the site. What do you have to be careful about when assigning system resources during the installation of virtual box?See Answer
Q18: 3) Download the iso image of your favorite LINUX distribution and install in your virtual machinei nstance.See Answer
Q19: 3. Multisim is quite a complex and sophisticated simulation tool. As suchthere are a lot of facilities avail able to you but don't let that put you off.Over the next few weeks we will use some of these facilities in thesesimulations. Feel free to experiment with others too. The first thing weneed to do is to add some components to our circuit. Do one of thefollowing: Click the 'Place' menu and select 'Place Component Right-click and select 'Place Component from the drop-down menu Press 'CNTL WSee Answer
Q20: Q6.What is preemption? Describe the difference between a preemptive and a non-preemptive scheduler. Support your answer using examples of specific preemptive and non-preemptive scheduling algorithms.See Answer

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