Undergrad ML4T - Revision history

Dave: /* OBSOLETE */

2019-08-16T18:48:48Z

OBSOLETE

Dave at 18:48, 16 August 2019

2019-08-16T18:48:20Z

Dave at 19:39, 9 January 2018

2018-01-09T19:39:48Z

Dave at 19:08, 9 January 2018

2018-01-09T19:08:52Z

Dave: /* Textbooks, Software & Other Resources */

2018-01-02T22:58:50Z

Textbooks, Software & Other Resources

Dave: /* Instructor */

2018-01-02T22:57:48Z

Instructor

Dave: /* Instructor */

2018-01-02T22:57:29Z

Instructor

Dave: /* Instructor information */

2018-01-02T22:56:46Z

Instructor information

Dave: /* Plagiarism */

2018-01-02T22:40:40Z

Plagiarism

Dave at 22:36, 2 January 2018

2018-01-02T22:36:46Z

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 ==OBSOLETE==
-This page holds information specific to offerings of CS 4646 which are _not_ cross-listed with the grad class, CS 7646.  The current courses _are_ cross-listed.
+This page holds information specific to offerings of CS 4646 which are ''not'' cross-listed with the grad class, CS 7646.  The current courses ''are'' cross-listed.
 ==Undergraduate Class==

← Older revision		Revision as of 18:48, 16 August 2019
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		+	==OBSOLETE==
		+
		+	This page holds information specific to offerings of CS 4646 which are _not_ cross-listed with the grad class, CS 7646. The current courses _are_ cross-listed.
		+
	==Undergraduate Class==		==Undergraduate Class==

@@ Line 39: / Line 39: @@
 Software:
-* Follow these instructions to set up the software: [[ML4T_Software_Setup]]
+* Follow these instructions to set up the software: [[Undergrad_ML4T_Software_Setup]]
 Other resources:
@@ Line 64: / Line 64: @@
 Software we'll use: In order to complete the programming assignments you will need to a development environment that you're comfortable with.  We use Unix, but you can also work with Windows and Mac OS environments.  You must download and install a set of Python modules to your computer (including NumPy, SciPy, and Pandas).
-How to install the software: [[ML4T Software Setup]]
+How to install the software: [[Undergrad_ML4T Software Setup]]
 ==Logistics==

← Older revision		Revision as of 19:08, 9 January 2018
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		+	==Undergraduate Class==
		+
		+	Note: This page and everything on it pertains to the ''undergraduate'' offering of ML4T, CS 4646. If you are enrolled in the graduate class (online or on campus), you are in the wrong place!
		+
	==Overview==		==Overview==

@@ Line 27: / Line 27: @@
 There is one required textbook for the class:
-* What Hedge Funds Really Do by Romero and Balch [https://www.amazon.com/What-Hedge-Funds-Really-Introduction-ebook/dp/B00MYFT0TQ] - Kindle version usually ~$10
+* [https://www.amazon.com/What-Hedge-Funds-Really-Introduction-ebook/dp/B00MYFT0TQ What Hedge Funds Really Do by Romero and Balch] - Kindle version usually ~$10
 The following textbooks are also helpful:
-* Python for Finance by Yves Hilpisch [https://www.amazon.com/Python-Finance-Analyze-Financial-Data-ebook/dp/B00QUBHNBW]
+* [https://www.amazon.com/Python-Finance-Analyze-Financial-Data-ebook/dp/B00QUBHNBW Python for Finance by Yves Hilpisch]
-* Machine Learning by Tom Mitchell
+* [https://www.amazon.com/Learning-McGraw-Hill-International-Editions-Computer/dp/0071154671 Machine Learning by Tom Mitchell]
 Software:

@@ Line 13: / Line 13: @@
 [http://imtc.gatech.edu/people/c-david-byrd David Byrd]<BR>
 Research Scientist, Interactive Media Technology Center at Georgia Tech<BR>
-PhD Student, School of Interactive Computing<BR>
+PhD Student, School of Interactive Computing at Georgia Tech<BR>
 ==Course Designer==

@@ Line 9: / Line 9: @@
 This course ramps up in difficulty towards the end.  The projects in the final 1/3 of the course are challenging.  Be prepared.
-==Instructor information==
+==Instructor==
 [http://imtc.gatech.edu/people/c-david-byrd David Byrd]<BR>

← Older revision		Revision as of 22:40, 2 January 2018
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	In most cases I expect that all submitted code will be written by you. I will present some libraries in class that you are allowed to use (such as pandas and numpy). Otherwise, all source code, images and write-ups you provide should have been created by you alone.		In most cases I expect that all submitted code will be written by you. I will present some libraries in class that you are allowed to use (such as pandas and numpy). Otherwise, all source code, images and write-ups you provide should have been created by you alone.
		+
		+	Collaboration is permitted only at the "whiteboard level". You may discuss general approaches and algorithms, including high-level pseudocode. You should not share code or line-by-line level pseudocode with other students.
		+
		+	Do not turn in code you found on the web. Do not push your code to any public repository. I also use github and StackOverflow...
		+
		+	There are no group projects in this class.

	==Class Policies==		==Class Policies==

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 * David Byrd's slides on how to vectorize technical analysis methods: [[media:CDB_vectorize_me.pptx]]
-==Prerequisites==
+==Prerequisites & Target Audience==
 This is the new undergraduate flavor of ML4T, CS 4646.  In order to better progress the class, we make some assumptions about what a CS undergraduate student should know before taking our course.  Specifically, you should have taken CS 1332 (data structures) and CS 3600 (intro AI).  For example, we expect you should understand tree-based data structures (from 1332), object-oriented programming (from 1331), basic Markov Decision Processes (from 3600), and basic probability and statistics (from 3600 or a math class).
@@ Line 64: / Line 64: @@
 ==Logistics==
-* OMSCS: We will use Udacity for lecture videos.
+* Refer to this wiki for assignment instructions, syllabus, and course information.
 * We will use T-Square for ALL submissions: [https://t-square.gatech.edu/portal T-Square] (pick appropriate course site)
-* We will use Piazza or Reddit for interaction and discussion.  Consult the page for the current semester for a link.
+* We will use Piazza for interaction and discussion.  Consult the page for the current semester for a link.
 ==Grading==
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 Students taking the course Pass/Fail must earn at least a 75% to pass.
 See semester syllabus for assignment weights.
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 ** Mac: OS X 10.6 or higher with latest updates installed
 ** Linux: Any recent distribution that has the supported browsers installed
 ==Office hours==
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 * For Pass/Fail students: Your overall grade must be 75% or higher to get a passing grade.
-* Official communication is by email: We use piazza or reddit for discussions, but it is not an official communications channel. All official communications to you will be sent via t-square to your official GT email address.  Similarly, you should communicate important items to us by email as well.
+* Official communication is by email: We use piazza for discussions, but it is not an official communications channel. All official communications to you will be sent via t-square to your official GT email address.  Similarly, you should communicate important items to us by email as well.
 * Student responsibilities: Be aware of the deadlines posted on the schedule.  Read your GT email every day.  Start work on projects even if they are not open on t-square.
@@ Line 129: / Line 119: @@
 * We require that your code run properly on one of the servers we have set up at GT. To assist you with this, and to furthermore help you test your code for each assignment we have equipped these servers with a server process that will run your code against a set of test cases.
 * If a problem crops up with your submitted code we will not consider reassessing it if it has not been tested as described above.