In this problem, we write a program to estimate the parameters for an unknown polynomial using the polyfit() function of the numpy package. 

1)Please plot the noisy data and the polynomial you found (in the same figure). You can use any value of m selected from 2, 3, 4, 5, 6.

2)Plot MSE versusorder m,for m = 1, 2, 3, 4, 5, 6, 7, 8respectively.Identify the best choice of m.

3)Change variable noise_scaleto 150, 200, 400, 600, 1000 respectively,re-run the algorithm and plot the polynomialswith the m found in 2). Discuss the impact of noise scale to the accuracy of the returned parameters.[You need to plot a figure like in 1) for each choice of noise_scale.]

4)Change variable number_of_samplesto 40, 30, 20, 10 respectively, re-ran the algorithm and plot the polynomialswith the m found in 2). Discuss the impact of the number of samples to the accuracy of the returned parameters.[You need to plot a figure like in 1) for each choice of number_of_samples.]A simulateddataset will be providedas below.The polynomial used is y = 5 * x + 20 * x2+ x3.Simulated data is given as follows in Python:import matplotlib.pyplot as pltplt.style.use(‘seaborn-whitegrid’)import numpy as npnoise_scale = 100number_of_samples = 50x =  25*(np.random.rand(number_of_samples, 1) -0.8)y = 5 * x + 20 * x**2 + 1 * x**3 + noise_scale*np.random.randn(number_of_samples, 1)plt.plot(x,y,’ro’)

 Discuss the limitations of memory management schemes in early systems. What were the most problematic aspects of these schemes? Why were they sufficient for the first three generations of computers? 

McHoes, Ann and Flynn, Ida.  Understanding Operating Systems, 8th ed., Cengage Learning, 2018

(ISBN 978-1-305-67425-7 )

1. In class we wrote a MapReduce program in Java to compute the word counts for any given input. In this assignment, you will repeat solving the same problem but using Hadoop streaming. 

2. Create two scripts in Python namely wordcount_map.py and wordcount_reduce.py to be used by the mappers and reducers of the streaming job. 

3. Your script files must be executable (consider chmod command), and must include the necessary shebang (like in the attached script files).

 4. Attached are the script files we used in class to demonstrate Hadoop streaming, namely: maxtemp_map.py and maxtemp_reduce.py. They can help you to get started. 

5. Recall the streaming command:

 $ mapred streaming \    

 -files <executable_map>,<executable_reduce> \   

  -mapper <executable_map> \    

 -reducer <executable_reduce> \   

  -input <input-path> \    

 -output <output-path> 

(extra options: -combiner, -numReduceTasks, etc.)

MaxTemperature Example file is the program file discussed in Class.

1. What things do you think to make up the Web?
2. When arriving at a crime scene, is it better to shut down the computer immediately or insure it stays on? What are the tradeoffs?

Your Task: Develop an “intake” briefing for a group  of software engineers who have been tasked with developing a standard  set of security review processes for virtual teams. The purpose of these  processes is to ensure that compliance for software security  requirements is verified resulting in software applications and  software-based products where security is “built in.” The company also  intends that these processes be used towards the organization’s  achievement of Capability Maturity Model Integration (CMMI) Level 3 —  Defined.

Background: Software development is a complex task,  especially as technology changes at the speed of light, environments  evolve, and more expectations are placed upon vendors who want to be  competitive within the software market. Many software development  organizations also depend upon virtual teams whose members are  geographically dispersed. This complexity also makes implementing and  testing security features (for software applications) much more  challenging.

Format: This week, the format for your deliverable  (posting) will be “Talking Points.” Talking points are presented in  outline format and contain the content that you would put on slides in a  slide deck. Your outline should include 5 to 7 major points (“slide  titles”) followed by 3 to 5 supporting points for each. Remember to put  enough information into the talking points that your peer reviewers can  understand what you intend to cover in each section of your briefing.  Remember to introduce the topic at the beginning, present your analysis,  and then close your briefing with an appropriate summary. Include a  list of sources (3 or more) which attendees could refer to if they wish  to fact check your work.