Supervised learning and predictive modeling: decision trees, rule induction, nearest neighbors, Bayesian methods, neural networks, support vector machines, and model ensembles. Programming Assignments for machine learning specialization courses from University of Washington through Coursera. This is the course for which all other machine learning courses are judged. The course uses the open-source programming language Octave instead of Python or R for the assignments. It has a 4.35-star weighted average rating over 84 reviews. In this course, we’ll focus on machine learning techniques for supervised and unsupervised learning problems, including deep learning. The teacher and creator of this course for beginners is Andrew Ng, a Stanford professor, co-founder of Google Brain, co-founder of Coursera, and the VP that grew Baidu’s AI team to thousands of scientists.. All courses in this program were 10 weeks long, with 3-hour lectures held once a week. UW students create virtual coding program for kids. So, this is my review of the University of Washington Data Science certificate. In December, I completed the third of three courses in the University of Washington’s Professional & Continuing Education’s (PCE) Certificate in Data Science program. Find helpful learner reviews, feedback, and ratings for Machine Learning Foundations: A Case Study Approach from University of Washington. Machine learning is behind the biggest innovations in artificial intelligence — so much so that AI and machine learning have become nearly synonymous. In terms of the library and packages, I only used graphlab and SFrame for Machine Learning Foundations. Uses python 2.7 64 bit and GraphLab software. Machine-Learning-Specialization-University of Washington. ... From fabrication and mobile technologies, to data science and machine learning, Allen School researchers are working with clinicians and other collaborators on innovative solutions to assist in the fight against COVID-19. University of Washington Machine Learning Track (Still being released, currently on course 2/6): Supposed to be a comprehensive overview of modern machine learning methods. The University of Washington is one of the world's top centers of research in machine learning. CSEP 546 - Machine Learning - Autumn 2019 Tuesdays 6:30-9:20pm buildings: - Allen Center, room 305 - Microsoft Building 99, room 1915 CSE446: Machine Learning. We are active in most major areas of machine learning and in a variety of applications like natural language processing, vision, computational biology, the web, and social networks. Read stories and highlights from Coursera learners who completed Machine Learning Foundations: A Case Study Approach and wanted to share their experience. Great course!\n\nEmily and Carlos teach this class in a very interest way. Techniques used: Python, pandas, numpy,scikit-learn, graphlab. Catalog Description: Methods for designing systems that learn from data and improve with experience. Just finished the regression course and it was excellent; if this level of quality continues it might be the best bet. Background: I ended up choosing the University of Washington program for a few reasons: it was part-time with only one 3-hour class per week, it was on-line, the application process was not very difficult, and I was able to get my employer to pay for it. Reviewing the UW Data Science Certificate Program 19 Jan 2016. More.