added 1 report(21270) and modified significantly another report(10601) #59
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mikinty
approved these changes
Apr 4, 2022
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| - [24-104: Maker Series: Intro to Modern Making](electives/24104.md) | ||
| - [21-270: Introduction to Mathematical Finance](electives/21270.md) |
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Let's keep this in numerical order
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| - [24-104: Maker Series: Intro to Modern Making](electives/24104.md) | |
| - [21-270: Introduction to Mathematical Finance](electives/21270.md) | |
| - [21-270: Introduction to Mathematical Finance](electives/21270.md) | |
| - [24-104: Maker Series: Intro to Modern Making](electives/24104.md) |
| - Concepts (21-127, 15-151 or equivalent) | ||
| - 15-122 | ||
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| Skipping these prerequisits, especially the math ones, is not recommended. This course is essentially half math. |
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If you claim it's half math -- you should mention which maths are used.
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| Skipping these prerequisits, especially the math ones, is not recommended. This course is essentially half math. | |
| Skipping these prerequisites, especially the math ones, is not recommended. This course is essentially half math and heavily uses concepts related to probability and proof writing. |
| @@ -39,14 +47,13 @@ The class is very well organized, and follows the approximate structure: | |||
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| ## Homeworks | |||
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| Homeworks are straightforward implementations of algorithms that are covered in class. Lecture slides and the lectures themselves go into algorithms in a great depth, so the homeworks should not be too bad. In addition, since the algorithms are often well-known in the ML field, you can | |||
| find lots of support for them online as well. The handouts provided for the homework is detailed, so make sure to read that as well. Definitely make sure to write your own tests for your program if it is possible, since that can help you uncover bugs you can't find on Autolab. | |||
| Homework is usually split into programming and written sections. There are also times when homework is exclusively written. No extensive knowledge of latex is needed as a template is usually provided, although it is helpful to know. For many, the programming part may be easier than the written part. The written portion of the assignment is usually key to understanding aspects of the programming section, so skimming the written portion at bare minimum is extremely important. | |||
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| Homework is usually split into programming and written sections. There are also times when homework is exclusively written. No extensive knowledge of latex is needed as a template is usually provided, although it is helpful to know. For many, the programming part may be easier than the written part. The written portion of the assignment is usually key to understanding aspects of the programming section, so skimming the written portion at bare minimum is extremely important. | |
| Homework is usually split into programming and written sections. There are also times when homework is exclusively written. No extensive knowledge of LaTeX is needed as a template is usually provided, although it is helpful to know. For many, the programming part may be easier than the written part. The written portion of the assignment is usually key to understanding aspects of the programming section, so skimming the written portion at bare minimum is extremely important. |
| You can find [course materials here](https://github.com/SKKSaikia/CS229_ML). | ||
| ## External materials for the class | ||
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| The good news about ML is that it is a very widely taught course, so there are lots of good materials about it outside of CMU. The most notable source for ML education is Andrew Ng's CS229 course at Stanford. His course notes are great and his class has lots of great content. |
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The old link is dead, but looks like https://github.com/maxim5/cs229-2018-autumn is still alive, and it's probably worth linking https://cs229.stanford.edu/ as well
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| Disclaimer: Course taken remotely in Spring 2021. | ||
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| Course is a math/science elective possible for ECE majors. This course is an introduction to mathematical finance and an introductory course for the computational finance minor/major. This course is primarily using math to price items such as bonds and options. Heavily abstracted, so don't expect to take this course and immediately be able to model the prices of bonds and options, however it is a good starting off point. |
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Is there Black Scholes? Are there other major equations you learn about?
Is this useful for people pursuing a career in quant / finance?
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| 15% Homework | ||
| 40% Quizzes | ||
| 20% Midterm | ||
| 25% Final |
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This is worth making into a list, maybe bullets is fine
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| 15% Homework | |
| 40% Quizzes | |
| 20% Midterm | |
| 25% Final | |
| - 15% Homework | |
| - 40% Quizzes | |
| - 20% Midterm | |
| - 25% Final |
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| ## Exam | ||
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| There is one midterm and one final exam. Both are closed book, but one note sheet is allowed. Exam questions are just variants of the quiz questions, so there won't be shock questions that you've never seen before. Remember to pace yourself. |
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Remember to pace yourself ... because? Is it easy to make mistakes?
mikinty
requested changes
Apr 4, 2022
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Are you going to work on this? If not I might just add to this branch to get it in the repo |
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Summary of Changes
Checklist:
README.mdtable of contents in the root directory as links.Make sure that your contributions: