Artificial Intelligence Third Edition Book 2018 Best Study Materials

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Candidates can get Best Artificial Intelligence Third Edition Books 2018 also a Top List of Main Study Materials for 2017-2018 entrance exam in India.

  • ARTIFICIAL INTELLIGENCE Third Edition
    by Kevin Knight and Elaine Rich

Syllabus:-

Prerequisites: Prior programming experience is expected; although we don’t expect that you know Python, we do expect you to be able to pick it up rapidly; facility with basic concepts of propositional logic and probability are expected. NOTE: This course has substantial elements of both programming and mathematics, because these elements are central to modern AI. You should be prepared to review basic probability on your own if it is not fresh in your head.

Expectations: I expect you to work hard, but will help you as much as possible to understand the material. However, I do expect you to read the book. I’ve tried to keep the readings as short as is reasonable. I expect you to do this ahead of time and come to class prepared: homeworks due on before class on day X will include topics we will discuss in class on day X. We will talk about solution in class if people have questions.

Lateness and handin: Homework assignments may not be turned in late. Projects may be turned up up to two days late, but once they’re one minute late, you lose 20% of your points (i.e., if you would have gotten 90%, you will instead get 70%). Homeworks are NOT accepted by email. You can view your current grade on the CS grades system.

Grading and solutions: We will post solutions to homeworks and projects quickly after the due dates. We will also email you your scores once grading has been completed. If you handed something in and do not get a score for an assignment, you have a one week moratorium on complaints.

Participation grade: You can contribute to your participation in several ways. You can actively participate in class discussions and asking questions in class. I realize some people do not like asking questions or participating, and while I can empathize with this, it is a skill you should learn. You may also get participation points by using the Q/A system actively, either asking questions or providing answers. Finally, if you have questions that you’d like answered during class, but don’t want to post them or ask them yourself, just write the question down on a scrap of paper and hand it to me before class. If you put your name on it, then that’s counts too.

Overall grade: Your overall grade is computed as (sum of homework scores – minimum homework score) * 1.5 + (sum of project scores) * 7 + (midterm score) * 18 + (final score) * 25 + (participation score) * 4. This is then mapped to a letter grade as follows: >=90 (A), >=80 (B), >=70 (C), >=60 (D). For your category, if the ones digit is <3, you get a -, and if it’s 7 or above you get a +. For instance, a 93 would be an A- and an 86 would be a B. After that, I’ll figure in any extra credit and perhaps push some people up over boundaries if it’s really close.

Add/drop deadlines: University policy: http://registrar.umd.edu/current/registration/Schedule%20Adjustment.html; If you’re going to drop, please please please do it now! I can’t do anything about waitlist; if you must, complain to management :).

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