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Posted revised homework with new due date and small corrections. Posted
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convex optimization notes, references, updated 'this week'.
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davidrosenberg committed Feb 3, 2015
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2 changes: 1 addition & 1 deletion data/assignments.yml
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Label: Homework 1
Description: Ridge regression and SGD
Due: 2015-02-04
Due: 2015-02-06
PDF: {hw1.pdf: "homework/hw1.pdf"}
ZIP: {hw1.zip: "homework/hw1.zip"}
# Solutions: {hw1_solutions.zip: "homework/hw1-sgd/hw1_solutions.zip"}
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14 changes: 11 additions & 3 deletions data/lectures.yml
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Label: Lecture
Topics:
L1/L2 regularization:
Loss functions:
Reading (Supplemental):
- "KPM 13.3, 13.4.1"
- "HFT Ch. 3"
- {Bottou's SGD Tricks: "refs/bottou-sgd-tricks-2012.pdf"}
Optimization methods for Lasso:
SVM intro:
Convexity:
Losses for classification:
Convex Optimization:
Slides and Notes:
# - {Extreme Abridgement of BV: "docs/convex-optimization.pdf"}
Reading (Supplemental):
- {Extreme Abridgement of BV: "docs/convex-optimization.pdf"}
- BV Ch 1-5
2015-02-05:
Label: Lab
Topics:
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2 changes: 1 addition & 1 deletion data/this-week.yml
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Lecture/Lab: Week 1
Lecture/Lab: Week 2
Assignment: Homework 1
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4 changes: 2 additions & 2 deletions index.hbs
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<p> Course details can be found in the <a href="docs/syllabusDS-GA1003-Spring2015.pdf">syllabus</a>.</p>

<p> This term we will be using Piazza for class discussion. The system is highly catered to getting you help fast and efficiently from classmates, the Lab Instructor, graders, and the Instructor. Rather than emailing questions to the teaching staff, you are encouraged to <a href="https://piazza.com/nyu/spring2015/dsga1003/home">post your questions on Piazza</a>. If you have any problems or feedback for the developers, email <a href="mailto:team@piazza.com">team@piazza.com</a>.</p>
<p> This term we will be using Piazza for class discussion. The system is highly catered to getting you help fast and efficiently from classmates, the Lab Instructor, graders, and the Instructor. Rather than emailing questions to the teaching staff, you are encouraged to <a href="https://piazza.com/nyu/spring2015/dsga1003/home">post your questions on Piazza</a>. If you have any problems or feedback for the developers, email <a href="mailto:team@piazza.com">team@piazza.com</a>. Without registering, you can also view an <a href="https://piazza.com/class/i2jg9qgaxwr5fq?cid=14">anonymized version of our Piazza board</a>.</p>



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<li><a href="http://cds.nyu.edu/course-pages/ds-ga-1001-intro-data-science/"><strong>DS-GA-1001: Intro to Data Science</strong></a> or its equivalent
<li><strong>Solid mathematical background</strong>, equivalent to a 1-semester undergraduate course in each of the following: linear algebra, multivariate calculus (primarily differential calculus), probability theory, and statistics.
<li><strong>Python programming required</strong> for all homework assignments (not necessary for auditors)
<li><em>Recommended:</em> Computer science background up to a "data structures and algorithms course
<li><em>Recommended:</em> Computer science background up to a "data structures and algorithms" course
<li><em>Recommended:</em> At least one advanced, proof-based mathematics course
<li>Some prerequisites may be waived with permission of the instructor.
</ul>
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2 changes: 1 addition & 1 deletion templates/lectures.hbs
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</ul>
</div>
<div class="reading icon">
<h1>Reading</h1>
<h1>References</h1>

<ul>{{> _reading }}</ul>
</div>
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2 changes: 1 addition & 1 deletion templates/this-week.hbs
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</ul>
</section>
<section>
<h1><a href="#{{lectureSlug this}}">Reading</a></h1>
<h1><a href="#{{lectureSlug this}}">References</a></h1>

<ul>{{#each Events}}{{> _reading }}{{/each}}</ul>
</section>
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