Eecs 545 Github

Eecs 545 GithubIt also covers system-related topics in the second half of the semester, which helps EECS 482 and EECS 485. GitHub - zhaohengz/EECS-545: EECS 545 Machine Learning, University of Michigan. (5 pts) We will use the 1st variable (CMEDV) of the 14 variables as our response y and the remaining variables as the feature variables. This repository contains the lecture materials for EECS 545, a graduate course in Machine Learning, at the University of Michigan, Ann Arbor. EECS 442 is an advanced undergraduate-level computer vision class. EECS 545: Machine Learning, Winter 2022 EECS 545: Machine Learning, Winter 2021 EECS 545: Machine Learning, Winter 2020 EECS 598: Deep Learning, Winter 2019 EECS 203: Discrete Mathematics, Winter 2016 EECS 445: Introduction to Machine Learning, Fall 2015 EECS 203: Discrete Mathematics, Winter 2015 EECS 445: Introduction to Machine Learning. edu/~cs61a/sp12/book/ (text for Berkeley SICP in Python, . Reuse the templates from project 1, rendering them on-demand when a user loads a page. View Homework Help - hw3 from EECS 545 at University of Michigan. Penn State Code Repository (GitLab). Prerequisites: (the current formal prerequisite is currently listed as EECS 492, Artificial Intelligence, but this is inaccurate) Probability: jointly distributed random variables, multivariate. Schedule People Syllabus Canvas. The course covers a wide range of aspects of parallel computing, with the emphasis on developing efficient software. GitHub - enochyl/eecs545: Machine Learning master 1 branch 0 tags Code 12 commits Failed to load latest commit information. Notes EECS 376: Foundations of Computer Science. 30, at 5 pm in the 545 box in EECS 2420. It had no major release in the last 12 months. EECS 545 HW 3 Due Wednesday, Oct. They will help both EECS 442 (Computer Vision) and EECS 595 (NLP). A tag already exists with the provided branch name. Instructors: Clay Scott - Section 1: MW 10:30--12:00, 1571 GGBL. There is quite a bit of overlap between them, so you cannot take both for credit; you must choose one of them! Typically CSE students will choose 545 and ECE students will choose 553. master 1 branch 0 tags Code 14 commits Failed to load latest commit information. GitHub - zhaohengz/EECS-545: EECS 545 Machine Learning, University of Michigan. Project maintained by kateding1 Hosted on GitHub Pages — Theme by mattgraham. The specific embedded system we will be working with is a haptic interface, which uses force feedback to enable a human to interact with a computer through the sense of touch. Final Project EECS 545 Team KIWY. Minicursos do XIX Simpósio Brasileiro de Segurança da Informação. Design and analysis of algorithms, including paradigms such as divide-and-conquer and dynamic programming. Electrical and Computer Engineering Master's student at University of Michigan, Ann Arbor. A lot of the course is about learning Machine Learning from a mathematical perspective (this is ideal/expected if you want to become a ML or Data. EECS 545 - Fall 2008 Register Now EECS_545_W16_Practice_Final_Sol. EECS 351, or EECS 301, or any linear. com) GSI office hours: Tuesday 12-3, room EECS 2420, or by appointment. Design and analysis of algorithms, including paradigms such as divide-and-conquer and. Let's use the free source dataset at http://web. kandi X-RAY | eecs545_twitter REVIEW AND RATINGS. The course will emphasize understanding the foundational algorithms and “tricks of the trade” through implementation and basic-theoretical analysis. Topics include: camera models, multi-view geometry, reconstruction, some low-level image processing, and high-level vision problems like object and scene recognition. GitHub - akashr050/EECS545: Programming assignments of EECS545 - Machine learning master 1 branch 0 tags Go to file Code akashr050 Update README. CARAT CAKE: replacing paging via compiler/kernel cooperation. GitHub LinkedIn EECS 545 - Machine Learning This page contains files to my projects and course work from EECS 545 (Fall 2019) Final Project Statistical Arbitrage by Pair Trading using Clustering and Machine Learning, awarded third place for application track [Poster], [Paper], [Github]. Correct by Construction Language Implementations. Github; Google Scholar; EECS 545 Machine Learning. edu – Please put EECS470: in subject z Office Hours – In Media Union/Duderstat Center – Monday 4:30-6:30 – Wednesday 4:30-6:30 – Thursday 4:00-6:00 z Verilog Tutorial – 1620 CSE – Unless you know verilog extremely well, you should go –. Final Project EECS 545 Team KIWY. Satish Narayanasamy Lecture Office Hours In-Person, Tu 10:30 - 11:30 am. No credit to a student who has taken EECS 453 or 545 or 553. edu/~fessler/irt/reproduce/17/ravishankar-17-lra/. Natural Language Processing Recipes. Contribute to israeldi/Final-Project-EECS545 development by creating an account on GitHub. It covers SQLs in the first half of the semester, which is helpful and useful for EECS 485. Daning Huang / AERSP597_notes · GitLab. EECS 442: Computer Vision. Graduate students seeking to take a machine learning course should consider EECS 545. I have not taken 445, but EECS 545 assumes students to have mathematical foundations in theoretical Linear Algebra, Probability and Distribution Theory, and to be familiar with rigorous proofs. EECS 545 Machine Learning. Nagoya Travel Guide: Things to do in Nagoya, Aichi. EECS 545 HW 3 Due Wednesday, Sept. A tag already exists with the provided branch name. Available as Technical Report NWU-EECS-16-12, Department of 2018. Project maintained by kateding1 Hosted on GitHub Pages — Theme by mattgraham. This course has a little bit more emphasis on mathematical principles in comparison to EECS 445. About Ants Cs61a 2019 Github. EECS 545 Machine Learning. com) GSI office hours: Tuesday 12-3, room EECS 2420, or by appointment. The two most basic ant types are the HarvesterAnt, which adds one food to the colony during each turn, and the ThrowerAnt, which throws a leaf at a bee each turn. EECS 445: Introduction to Machine Learning. View HW2 from EECS 545 at University of Michigan. basis for graduate courses CIS 550 (Databases & Info Systems) and CIS 545 (Big Data Analytics). An Instagram clone implemented with server-side dynamic pages. Course: Machine Learning (EECS 545). Course: Machine Learning (EECS 545). GitHub - akashr050/EECS545: Programming assignments of EECS545 - Machine learning master 1 branch 0 tags Go to file Code akashr050 Update README. EECS545 Machine Learning Homework #1 Solutions Notation: As in the lecture, we will interchangeably use xi and x(i) to. Administrative z Ian Kountanis z E-mail: [email protected] umich. No credit to a student who has taken EECS 453 or 545 or 553. Class topics include low-level vision, object recognition, motion, 3D reconstruction, basic signal processing, and deep learning. LDA and linear regression (15 points) Consider training data for binary classification, (x1,y1),,(xn,yn), where xi ∈ Rd and yi ∈ {+,−}. Display the vector of sample means and the vector of sample standard deviations. Graduate course, Computer Science & Eng, University of Michigan, 2022. It has 2 star(s) with 1 fork(s). Nagoya Castle’s keep is the biggest of all Japanese castles, and has the most “haafu”, or triangular eves of any castle. EECS 549 Information Retrieval; EECS 484 Database Management System Silver Award for Open. EECS 470 : Computer Architecture Discussion #1 Friday, September 07, 2007. If you want to take AI-related courses, I recommend you to take EECS 445 first. Formatted Lecture Materials The. GitHub - enochyl/eecs545: Machine Learning master 1 branch 0 tags Code 12 commits Failed to load latest commit information. pdf University of Michigan EECS. Statistical Arbitrage by Pair Trading using Clustering and Machine Learning, awarded third place for application track [Poster], [Paper], [Github]. com/SRI-CSL/gllvmGoogle Scholar Google 545–557. Grader EECS 504, Introduction to . 00 View This Answer; EECS 545 Machine Learning Homework #2 solved EECS545 Machine Learning Homework #4 solved. Office hours: Monday 1-4 PM or by appointment. Graduate students in other disciplines are. EECS 692: Special Topics in AI: Robot Learning. Course project, EECS 545 Machine Learning, Fall 2018. Please feel to re-use any of these materials while crediting appropriately and making sure original attributions to these. Course Project of EECS 545 -- Machine learning. The course will emphasize understanding the foundational algorithms and "tricks of the trade" through implementation and basic-theoretical analysis. EECS 545: Machine Learning University of Michigan, Fall 2015. 30, at 5 pm in the 545 box in EECS 2420. EECS 545 HW 3 Due Wednesday, Oct. Students outside the ECE program interested in machine learning are welcome as well! Prerequisite. Recall that a linear classifier has the form f(x) = ‰ +class if wTx+b > 0 −class if wTx+b ≤ 0. EECS 545 Fall 2020 Air quality problem. Jake Abernethy's 545 at Michigan http://web. Prerequisite: EECS 200, at least 3 of 4 (215, 216, 230, 280), Co-requisite EECS: 4th of 4 (215, 216, 230, 280) Minimum grade of C required for enforced prerequisites. In your fourth semester, I recommend you to take EECS 484 and EECS 376. pdf University of Michigan EECS 545 - Fall 2017 Register Now. This is an undergraduate course. 545 muraster conversion errors,” UC Berkeley EECS, Tech. Welcome to EECS 370 Fall 2022! Midterm locations posted. Market for Bound Metal Additive Manufacturing 2022. Weighted Least Squares Regression (5 points) Consider. GitHub - akashr050/EECS545: Programming assignments of EECS545 - Machine learning master 1 branch 0 tags Go to file Code akashr050 Update README. This is the second of an EECS 485 three project sequence: a static site generator from templates, server-side dynamic pages, and client-side dynamic pages. Eecs 280 euchre github Jobs, Employment. Find company research, competitor information, contact details & financial data for NAGOYA RINKAI KOSOKU TETSUDO K. (5 pts) We will use the 1st variable (CMEDV) of the 14 variables as our response y and the remaining variables as the feature variables. research on automatic image colorization with GAN for the group project in course EECS 545: Machine learning. (3 credits) Principles of engineering design for electrical engineering systems. Market for Bound Metal Additive Manufacturing 2022. Winter 2017: EECS 545 Homework 2 Due: 12 March 2017, 11:59 PM EST Homework Policy: Working in groups is fine, but each member. Professor Benjamin Kuipers ([email protected] This is an entry-level machine learning course targeted for senior undergraduate and junior master students. The math and stats covered in it are comprehensive. Course Description This is an introduction to computer vision. Final group project for EECS 545, Machine Learning. Silver Award for Open-Ended Track for the project in EECS 545, Fall 2019, University of Michigan Undergraduate Excellent Scholarship, 2018, Shanghai Jiao Tong University First Prize of China Odyssey of the Mind in China Division, May 2016. I have not taken 445, but EECS 545 assumes students to have mathematical foundations in theoretical Linear Algebra, Probability and Distribution Theory, and to be familiar with rigorous proofs. Students typically range from undergraduates through postdocs, and occasionally faculty sit in on the course as well. Important points about 545 vs 553 EECS 545 and EECS 553 are more advanced Machine Learning courses. This course has a little bit more emphasis on mathematical principles in comparison to EECS 445. Autumn Leaves and Autumn Festivals in Nagoya and Aichi in 2022. Why don't some universities teach git in their Computer Science. This is the second of an EECS 485 three project sequence: a static site generator from templates, server-side dynamic pages, and client-side dynamic pages. md de742c5 on Mar 12, 2017 3 commits EECS_545 Programming assignments of EECS 545 6 years ago README. Knowledge of machine learning (EECS 545 or 445 or equivalent) and mathematical maturity This is a graduate-level research-oriented course focusing on fundamental principles ("science") of deep learning, from both theoretical and empirical perspectives. Graduate students seeking to take a machine learning course should consider EECS 545. Sphere the train-validate feature variables, i. Search for jobs related to Eecs 545 reddit or hire on the world's largest freelancing marketplace with 21m+ jobs. Scheme cs61a project github. LDA and linear regression (15 points) Consider training data for binary classification, (x1,y1),,(xn,yn), where xi ∈ Rd andyi ∈ {+,−}. 24 - 28) Current Projects and Labs Project 4 Due 11/4 8PM Lab 7 Due evening of your lab at 11:59PM, with extension until 11/1 Project 3 Due 10/21 8PM. com/thejakeyboy/umich-eecs545-lectures. EECS 545 HW 3 Due Wednesday, Oct. Find file Select Archive Format. EECS 549 Information Retrieval EECS 484 Database Management System EECS 598 Computational Modeling in Human-Computer Interaction EECS 598 Systems for AI EECS 598 Natural Language Processing with Deep Learning EECS 598 Deep Learning for Computer Vision. Fundamentals of computability and complexity -- learn to identify. If you want to take AI-related courses, I recommend you to take EECS 445 first. yshsieh/EECS545: Course Project of EECS 545. EECS 545 - Winter 2018 Register Now Dark Channel Prior-Based White Point Estimation for Automatic White Balance. About Ants Cs61a 2019 Github. Search for jobs related to Eecs 545 reddit or hire on the world's largest freelancing marketplace with 21m+ jobs. EECS 351, or EECS 301, or any linear. Important points about 545 vs 553 EECS 545 and EECS 553 are more advanced Machine Learning courses. It covers SQLs in the first half of the semester, which is helpful and useful for EECS 485. (4 credits) Theory and implementation of state-of-the-art machine learning algorithms for large-scale real-world applications. Github; Google Scholar; EECS 545 Machine Learning. , transform the feature matrix so that its rows have zero sample mean and sample variance equal to one (see Slide 17 of Lec 3 ). - GitHub - hongxin-y/EECS545-Homeworks: My own solutions of EECS545, i. Cs61a Ants Github 2019. yugt/MachineLearning: EECS 545 Fall 2018. Air pollution is a severe problem. GitHub - thejakeyboy/umich-eecs545-lectures: This repository contains the lecture materials for EECS 545, a graduate course in Machine Learning, at the University of Michigan,. This semester's offering of EECS 442 closely follows the Fall 2019 iteration taught by David Fouhey. EECS 183: Elementary Programming Concepts. EECS 545 HW 3 Due Wednesday, Oct. EECS 692: Special Topics in AI: Robot Learning. About Ants Cs61a 2019 Github. Notebook Lectures from University of Michigan's EECS 545 and EECS 445 . It's free to sign up and bid on jobs. Determine the solution of minw,b nX i=1 ci(yi- wTxi- b)2. 00 View This Answer; EECS 545 HW 6 solved $ 35. Course Description This is an introduction to computer vision. edu) Office hours: TTh 3-4 pm (3741 BBB), or by appointment. A decorative boat floating in the middle of the pond of Tokugawaen is lit up during the event and it is a beautiful sight to take in a Japanese garden. EECS 470 : Computer Architecture Discussion #1 Friday, September 07, 2007. org/blog/?p=545 http://www-inst. Advice For Umich EECS Students. This is an undergraduate course. EECS 549 Information Retrieval; EECS 484 Database Management System Silver Award for Open-Ended Track for the project in EECS 545, Fall 2019, University of Michigan; Undergraduate Excellent Scholarship, 2018, Shanghai Jiao Tong University. Due to fall break, there will be: No office hours Oct. View HW2 from EECS 545 at University of Michigan. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. GitHub LinkedIn EECS 545 - Machine Learning This page contains files to my projects and course work from EECS 545 (Fall 2019) Final Project Statistical Arbitrage by Pair Trading using Clustering and Machine Learning, awarded third place for application track [Poster], [Paper], [Github]. University of Michigan EECS 183 is an introductory course to computer science and programming, covering the basics of computing as well as problem-solving and algorithmic thinking. teaching metal machinery assembly model. 00 View This Answer; EECS 545 HW 4 solved $ 35. EECS545 Machine Learning Homework #3 solved. GitHub - akashr050/EECS545: Programming assignments of EECS545 - Machine learning master 1 branch 0 tags Go to file Code akashr050 Update README. GitHub LinkedIn EECS 545 - Machine Learning This page contains files to my projects and course work from EECS 545 (Fall 2019) Final Project Statistical Arbitrage by Pair Trading using Clustering and Machine Learning, awarded third place for application track [Poster], [Paper], [Github]. Contribute to yshsieh/EECS545 development by creating an account on GitHub. List of Deep Learning and NLP Resources Dragomir Radev. EECS 545 vs EECS 445 : r/uofm. See Go-Json-Rest project on Github. I have not taken 445, but EECS 545 assumes students to have mathematical foundations in theoretical Linear Algebra, Probability and Distribution Theory, and to be familiar with rigorous. Instructor: Clayton Scott (clayscot) Classroom: GG Brown 1571. LDA and linear regression (15 points) Consider training data for binary classification, (x1,y1),,(xn,yn), where xi ∈ Rd andyi ∈. Topics include supervised learning (regression, classification, kernel methods, neural networks, and regularization) and unsupervised learning (clustering. Machine Learning Curriculum. This semester's offering of EECS 442 closely follows the Fall 2019 iteration taught by David Fouhey. Sydr: Cutting Edge Dynamic Symbolic Execution. University of Michigan, Fall 2015. EECS 470 : Computer Architecture Discussion #1 Friday, September 07, 2007. Class topics include low-level vision, object recognition, motion, 3D reconstruction, basic signal. report / code / pretrained model, 8HG We replicate and improve upon validation accuracy from Stacked Hourglass Networks for Human Pose Estimation using Adam and larger batch size. Github. Machine Learning, University of Michigan, Fall 2018. EECS 545 - Winter 2018 Register Now Dark Channel Prior-Based White Point Estimation for Automatic White Balance. Search for jobs related to Eecs 545 reddit or hire on the world's largest freelancing marketplace with 21m+ jobs. EECS 545 and EECS 553 are more advanced Machine Learning courses. View Homework Help - homework1Solutions from EECS 545 at University of Michigan. View Homework Help - hw3 from EECS 545 at University of Michigan. Get the latest business insights from Dun. Instructor: Clayton Scott (clayscot) Classroom: GG Brown 1571 Time: MW 10:30--12:00 Office: 4433 EECS Office hours: Monday 1-4 PM or by appointment GSI: Efren Cruz (eecs545. This repository contains the lecture materials for EECS 545, a graduate course in Machine Learning, at the University of Michigan, Ann Arbor. View Homework Help - homework1Solutions from EECS 545 at University of Michigan. Prerequisites: EECS 492 (Intro to AI) or EECS 545 (Machine Learning) or permission of instructor. Design and analysis of algorithms, including paradigms such as divide-and-conquer and dynamic programming. There is quite a bit of overlap between them, so you cannot take both for credit; you must choose one of them!. eecs545_twitter has a low active ecosystem. In your fourth semester, I recommend you to take EECS 484 and EECS 376. Looking for previous terms? An introduction to Computer Science theory, with applications. This course has a little bit more emphasis on mathematical principles in comparison. When/Where: TTh 1:30 - 3:00 pm, 1690 BBB. Electrical and Computer Engineering Master's student at University of Michigan, Ann Arbor. Weighted Least Squares Regression (5 points) Consider linear regression and let c1,. EECS 504: Foundations of Computer Vision EECS 545: Machine Learning. Jeff Fessler · Canvas is primary site · Julia code: github demos . An Instagram clone implemented with server-side dynamic pages. I highly recommend taking EECS 484 as your first upper-level course. 300 Level Courses. You see the stacks I build up for you, right? It may not be the fastest way to take your favorite courses. C programming assignment help Computer networking assignment help. EECS 545: Machine Learning University of Michigan, Fall 2015. Important points about 545 vs 553 EECS 545 and EECS 553 are more advanced Machine Learning courses. EECS 545 Machine Learning. Although Table 1 only shows a few cities out of many. Penn State Code Repository (GitLab). EECS 376: Foundations of Computer Science. Graduate students seeking to take a machine learning course should consider EECS 545. Electrical Engineering and Computer Science Courses. Search for jobs related to Eecs 280 euchre github or hire on the world's largest freelancing marketplace with 21m+ jobs. Machine Learning, at University of Michigan, Ann Arbor. This repository contains the lecture materials for EECS 545, a graduate course in Machine Learning, at the University of Michigan, Ann Arbor. EECS545 Machine Learning Homework #1 Solutions Notation: As in the lecture, we will interchangeably. Prerequisites: (the current formal prerequisite is currently listed as EECS 492, Artificial Intelligence, but this is inaccurate) Probability: jointly distributed random variables, multivariate densities and mass functions, expectation, independence, conditional distributions, Bayes rule, the multivariate normal distribution (e. NAGOYA RINKAI KOSOKU TETSUDO K. EECS Professor at Michigan - currently at Google · Author has 3. zhaoerli / EECS 545 CF · GitLab. Silver Award for Open-Ended Track for the project in EECS 545, Fall 2019, University of Michigan Undergraduate Excellent Scholarship, 2018, Shanghai Jiao Tong University First Prize of China Odyssey of the Mind in China Division, May 2016. It also covers system-related topics in the second half of the semester, which helps EECS 482 and EECS 485. Instructors David Fouhey Justin Johnson Graduate Student Instructors Hansal Shah Danish Syed Anthony Liang. edu - Please put EECS470: in subject z Office Hours - In Media Union/Duderstat Center - Monday 4:30-6:30 - Wednesday 4:30-6:30 - Thursday 4:00-6:00 z Verilog Tutorial - 1620 CSE - Unless you know verilog extremely well, you should go -. We examine machine learning algorithms that can predict air quality levels within a city. Umich EECS学院分成CSE和ECE两个系,CSE就是CS 专业,ECE则偏向硬件、通信 370: eecs370. Failed to load latest commit information. Instructor: Clayton Scott (clayscot) Classroom: GG Brown 1571 Time: MW 10:30--12:00 Office: 4433 EECS Office hours: Monday 1-4 PM or by appointment GSI: Efren Cruz (eecs545. Penn State Code Repository (GitLab). Eecs 545 reddit Jobs, Employment. EECS 551, Matrix Methods for Signal Processing, Data Analysis and Machine Learning, F21, Prof. edu/Pubs/TechRpts/1996/CSD-96-916. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. GitHub - hongxin-y/EECS545-Homeworks: My own solutions of EECS545, i. Contribute to israeldi/Final-Project-EECS545 development by creating an account on GitHub. This is an entry-level machine learning course targeted for senior undergraduate and junior master students. In EECS 461 you will learn how to use a microprocessor as a component of an embedded control system. Winter 2017: EECS 545 Homework 2 Due: 12 March 2017, 11:59 PM EST Homework Policy: Working in groups is fine, but each member must submit their own Train an SVM on this data set using the LIBLINEAR software package, available for download from ~ cjlin/liblinear/ or GitHub. EECS 442 is an advanced undergraduate-level computer vision class. Nagoya is home to the second most venerated Shinto Shrine in. I led implementation of the project and it was jointly useful for research. various projects is available on github: of California. We'll also touch on very recent advances, including image synthesis, self-supervised learning, and embodied perception. md eecs545 This repository contains coursework for EECS 545 Machine Learning. Search for jobs related to Eecs 280 euchre github or hire on the world's largest freelancing marketplace with 21m+ jobs. Grader EECS 545 Introduction to Machine Learning, Winter 2020. EECS 545: Machine Learning. EECS 203 (Discrete Mathematics) Instructional Aide 個人Webサイト: geekstor. EECS 545: Machine Learning. Electrical Engineering and Computer Science Courses – Bulletin. Courseworks University of Michigan EECS 545 Machine Learning. EECS 505 vs EECS 551 vs EECS 545 vs EECS 553. Fundamentals of computability and complexity -- learn to identify what problems a computer cannot solve at all, what problems are unlikely to be efficiently solvable, and how to apply approximations to such problems. This is my python daily practice note book. Welcome to EECS 370 Fall 2022! No announcements :) Calendar. We expect ECE SIPML majors to take 553. EECS 545 HW 3 Due Wednesday, Oct. This repository contains the lecture materials for EECS 545, a graduate course in Machine Learning, at the University of Michigan, Ann Arbor. md de742c5 on Mar 12, 2017 3 commits EECS_545 Programming assignments of EECS 545 6 years ago README. Notes EECS 376: Foundations of Computer Science. EECS 545 - Fall 2008 Register Now EECS_545_W16_Practice_Final_Sol. EECS 183 is an introductory course to computer science and programming, covering the basics of computing as well as problem-solving and algorithmic thinking. Administrative z Ian Kountanis z E-mail: [email protected] umich >. Electrical Engineering Systems Design II. Umich ECE专业2021最新转码经验及课程介绍. Recall that a linear classifier has the form. Final Project EECS 545 Team KIWY. The course will emphasize understanding the foundational. Build an interactive website using server-side dynamic pages. Both of us are extremely grateful to the many researchers who have made their slides and course materials available. EECS 545 HW 3 Due Wednesday, Sept. pdf University of Michigan Machine Learn. Course Calendar | Office Hours Calendar. GitHub LinkedIn EECS 545 - Machine Learning This page contains files to my projects and course work from EECS 545 (Fall 2019) Final Project Statistical Arbitrage by Pair Trading using. Project maintained by kateding1 Hosted on GitHub Pages — Theme by mattgraham. EECS 545 CF Project ID: 41002 Star 0 17 Commits; 1 Branch; 0 Tags; 31 MB Project Storage. EECS 545 CF Project ID: 41002 Star 0 17 Commits; 1 Branch; 0 Tags; 31 MB Project Storage. Given the nature of changes between JUnit 4. EECS 545 - Fall 2008 Register Now EECS_545_W16_Practice_Final_Sol. I highly recommend taking EECS 484 as your first upper-level course. For a student in the CSCS program, it is an approved course related to complex systems. See Go-Json-Rest project on Github.