Publications by Abdelmalek Hajjam

Data605-Assignment13

03.05.2020

Question 1 Use integration by substitution to solve the integral below. \[ \int{4e^{-7x}dx}\] we have \[ \int{4e^{-7x}dx} = 4 \int{e^{-7x}dx}\] Let u = -7x \[ du = -7dx \Leftrightarrow \frac{du}{-7}=dx \Leftrightarrow dx = -\frac{1}{7}du\] Therefore: \[ \begin{split} \int{4e^{-7x}dx} &= \int{\frac{-7 \times 4}{-7}e^{-7x}dx} \\ &= \int{\frac{-4...

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Data 605 - Assignment 14

09.05.2020

In General, Taylor Series expansion is: \[f\left( x \right) \quad =\quad \sum _{ n=0 }^{ \infty }{ \frac { { f }^{ (n) }(a) }{ n! } { (x-a) }^{ n } }\] Let’s write Taylor series of a function f(x) centered at 0: \[ \begin{split} f(x) &= \sum_{n=0}^{\infty} \frac{f^{(n)}(0)}{n!}x^n \\ &= f(0) + \frac{f'(0)}{1!}x + \frac{f(0)}{2!}x^2 + \frac...

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Data605-Discussion16

12.05.2020

Exercise 7, Page 720 Find the total differential dz for z = 5x − 7y \(dz = f_x(x, y)dx + f_y(x, y)dy\) \(f_x(x, y)dx = 5\) \(f_y(x, y)dy = -7\) Therefore: \[ \begin{split} dz &= f_x(x, y)dx + f_y(x, y)dy \\ &= 5 + (-7) \\ &= \boxed{ -2 } \end{split} \] Exercise 9, Page 728 In Exercises 7 – 12, funcions z = f(x, y), x = g(t) an...

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Data612 - Project2

19.06.2020

Problem Statement The goal of this assignment is for you to try out different ways of implementing and configuring a recommender, and to evaluate your different approaches. For assignment 2, start with an existing dataset of user-item ratings, such as our toy books dataset, MovieLens, Jester [http://eigentaste.berkeley.edu/dataset/] or another da...

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Data612 - Project Proposal

15.07.2020

Recommender System For GoodReads site Goodreads is a social cataloging website that allows individuals to search freely its database of books, annotations, quotes, and reviews. Users can sign up and register books to generate library catalogs and reading lists. They can also create their own groups of book suggestions, surveys, polls, blogs, and ...

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Data612-Discussion3

13.07.2020

As more systems and sectors are driven by predictive analytics, there is increasing awareness of the possibility and pitfalls of algorithmic discrimination. In what ways do you think Recommender Systems reinforce human bias? Reflecting on the techniques we have covered, do you think recommender systems reinforce or help to prevent unethical targe...

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Data612-Discussion1-2

13.07.2020

Attacks on Recommender Systems The problem Read the article below and consider how to handle attacks on recommender systems. Can you think of a similar example where a collective effort to alter the workings of content recommendations have been successful? How would you design a system to prevent this kind of abuse? Overview Recommender systems...

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Data612-Discussion1_1

13.07.2020

Overview According to Wikipedia, recommender systems as a specific type of information filtering (IF) technique that attempts to present information items (movies, music, books, news, images, web pages, etc.) that are likely of interest to the user. That definition goes on to note that recommendations are generally based on an information item (t...

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Data612-Project5

09.07.2020

Objective Adapt one of your recommendation systems to work with Apache Spark and compare the performance with your previous iteration. Things that were taken into consideration were the efficiency of the systems as well as Spark’s complexity. This assignment was completed using sparklyr in R. Data Utilized and Loading our Dataset is the MovieL...

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Data612-Discussion4

14.07.2020

Mitigating the Harm of Recommender Systems Read one or more of the articles below and consider how to counter the radicalizing effects of recommender systems or ways to prevent algorithmic discrimination. Renee Diresta, Wired.com (2018): Up Next: A Better Recommendation System https://www.wired.com/story/creating-ethical-recommendation-engines/ Z...

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