Cs170 spring 2019

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cs170 spring 2019

Michael Ball Gerald Friedland. Anthony D. Joseph Gonzalez. Eric Paulos. John D. Natacha Crooks Anthony D. Michael Ball Armando Fox. Avishay Tal Umesh Vazirani.

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Alessandro Chiesa TBD. Sanjam Garg. Alistair Sinclair. Nir Yosef. Sergey Levine. Ren Ng. Alvin Cheung Aditya Parameswaran. Anca Dragan. Stuart J. Russell Dawn Song.As part of the Unified Community Platform project, your wiki will be migrated to the new platform in the next few weeks.

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cs170 spring 2019

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Submit Code.Jonathan Shewchuk Please send email only if you don't want anyone but me to see it; otherwise, use Piazza. I check Piazza more often than email.

I'm usually free after the lectures too. This class introduces algorithms for learningwhich constitute an important part of artificial intelligence. Topics include classification: perceptrons, support vector machines SVMsGaussian discriminant analysis including linear discriminant analysis, LDA, and quadratic discriminant analysis, QDAlogistic regression, decision trees, neural networks, convolutional neural networks, boosting, nearest neighbor search; regression: least-squares linear regression, logistic regression, polynomial regression, ridge regression, Lasso; density estimation: maximum likelihood estimation MLE ; dimensionality reduction: principal components analysis PCArandom projection, latent factor analysis; and clustering: k -means clustering, hierarchical clustering, spectral graph clustering.

Enough programming experience to be able to debug complicated programs without much help. Unlike in a lower-division programming course, the Teaching Assistants are under no obligation to look at your code.

You should take these prerequisites quite seriously: if you don't have them, I strongly recommend not taking CS Here's a short summary of math for machine learning written by our former TA Garrett Thomas. Stanford's machine learning class provides additional reviews of linear algebra and probability theory. I highly recommend them, even if you think you already understand linear algebra.

It's not enough to know how to work with matrix algebra equations; it's equally important to have a geometric intuition for what it all means. To learn matrix calculus which will rear its head first in Homework 2check out the first two chapters of The Matrix Cookbook. Another locally written review of linear algebra appears in this book by Prof.

Laurent El Ghaoui. An alternative guide to CS material if you're looking for a second set of lecture notes besides minewritten by our current TA Soroush Nasiriany and our former TA Garrett Thomas, is available at this link. I recommend reading my notes first, but reading the same material presented a different way can help you firm up your understanding. Both textbooks for this class are available free online.

Hardcover and eTextbook versions are also available. You have a total of 8 slip days that you can apply to your semester's homework.

We will simply not award points for any late homework you submit that would bring your total slip days over eight. However, each individual assignment is absolutely due five days after the official deadline.

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Even adding extensions plus slip days combined, no single assignment can be extended more than 5 days. We have to grade them sometime! The video is due Thursday, May 7and the final report is due Friday, May 8. Homework 1 is due Wednesday, January 29 at PM.GitHub is home to over 50 million developers working together to host and review code, manage projects, and build software together. Work fast with our official CLI. Learn more. If nothing happens, download GitHub Desktop and try again.

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cs170 spring 2019

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CS 2020-2021 Draft Schedule

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Introduction to Database Systems

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Etcheverry Julia. Dasgupta, C. Papadimitriou, and U. Vazirani Logistic Email cs [at] berkeley. Course Staff Instructors Alessandro Chiesa.

Spring 2019 Ready-to-Wear

Vinay Koshy. Hey, I'm Vinay! I'm currently a senior, majoring in CS, and this is my second semester teaching CS I love consuming food, movies, and music almost as much as I love talking about them, so do stop by and chat some time. Hey folks. I have an electric skateboard, a yellow notebook and a blue pen.

I recently bought the skateboard; you'll probably see me wobbling around. Feel free to ask me about any of these! In my free time I try to go outside and sometimes play games. Come say hi! In my free time, I enjoy playing chess, reading classics, lifting, and eating chicken. Hi everybody! I'm a 4th year CS and Applied Math major. I'm a fourth year Math and CS major. In my free time, I enjoy writing self-referential staff bios that have exactly one hundred fifty seven characters.

I'm a third year CS major.Dasgupta, C. Papadimitriou, and U. Vazirani DPV. CS Schedule Discussions Calendar. Section 1solutions. Discussion solutions. HW 1solutions. Section 2solutions. FFT Walkthrough. HW 2solutions. HW 2 walkthrough. Section 3solutions. HW 3solutions. HW 3 walkthrough.

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Section 4solutions. HW 4solutions. HW 4 walkthrough. Section 5solutions. HW 5solutions. Section 6solutions. Midterm walkthrough. HW 6solutions. Section 7solutions. HW 7solutions. Section 8solutions.