Yeah, I'm planning on taking Coursera's NLP course that starts in two weeks. Overall I really like the set up there (and they have more courses to choice from than Udacity), but I wish they didn't have such strict schedules, it's going to be extremely difficult for me as well. That's something I really like better that Udacity is doing. It puts more focus on learning and less on deadlines. Allows learning based on mastery versus learning based on time in the traditional way, as the Khan academy likes to talk about.
Do you have Russell/Norvig's AI:A Modern Approach? It's the classic overview book, covering a little bit of everything in AI/ML. It's a little pricey but definitely worth buying and surprisingly goes into a good bit of detail (sometimes too much) for a general book. It has a chapter on robotics and path planning so probably covers the basics of what you're looking for. Some more advanced ones are Principles of Robot Motion and Computational Principles of Mobile Robotics, both of which are helping me trying to get some of the concepts you're talking about. Still a work in progress though. good luck, -Chris ________________________________ From: Jim Bromer <jimbro...@gmail.com> To: AGI <a...@listbox.com> Sent: Sunday, January 27, 2013 3:35 PM Subject: Re: [agi] I may be destined to be a hopeless dropout from online introductory courses in AI I d On Sat, Jan 26, 2013 at 1:50 PM, Chris Nolan <settlednoma...@yahoo.com> wrote: Yeah, I've head similar problems with some of the machine learning classes as coursera. I've really like udacity's program though, not sure if you've checked it out? They've got two AI courses, one the classic Intro to AI that covers a little bit of everything: I am taking a course on Coursera and Udacity. I like both courses so far. I just did not know something about a state transition system and I did not know how to pick up on the way the professor was explaining the information. I misunderstood that something the professor had said was applicable to a state transition system. I am looking forward to both courses although it is going to be difficult for me to adhere to the Coursera schedule. Jim Bromer I found I found that I have to use the textbook with On Sat, Jan 26, 2013 at 1:50 PM, Chris Nolan <settlednoma...@yahoo.com> wrote: Yeah, I've head similar problems with some of the machine learning classes as coursera. I've really like udacity's program though, not sure if you've checked it out? They've got two AI courses, one the classic Intro to AI that covers a little bit of everything: > > >https://www.udacity.com/course/cs271 > > > >I used the first version to help me with a general AI course I took last year. >They also have a more advanced AI for Robotics class that goes into robot >planning using probabilistic methods: > > >https://www.udacity.com/course/cs373 > > > >I'm taking this one now. Overall I like their set up better than coursera's >(although it's still really good). They don't have as much classes, but they >incorporate videos and short programmng quizes in a way that makes it easier >to understand and apply. Their program is also self-paced so you don't have to >worry about Coursera's deadlines, just learning the material and getting the >work done. For both though, I've found I have to have a textbook for review >and to get the full background and proofs behind the concepts. It just doesn't >work for me otherwise. > > >-Chris > > > > > >________________________________ > From: Jim Bromer <jimbro...@gmail.com> >To: AGI <a...@listbox.com> >Sent: Friday, January 25, 2013 7:29 PM >Subject: [agi] I may be destined to be a hopeless dropout from online >introductory courses in AI > > >I am taking two Introduction to AI online courses and I am making quite a few >mistakes. Some of the mistakes are just plain mistakes. But some are due to >annoying cutsieness. Here is an example: > >True or False >State transition systems can represent actions that occur in parallel. > >Well of course they can, but since this is an introductory course the answer >has to be False. >Ok, got that one right. > >A state transition graph may have multiple outgoing/incoming directed edges >that are labelled with the same action. > >Well I had a feeling that was a trick question given the answer to the first >question, and the answer is...True. True? My best guess is that the term >label was not being applied to *some particular* labelled actions but to the >choice of actions at a particular state, whereas each state is the resultant >of the action so they are thought of as particulars (like values)? Maybe >there is some other reasoning behind this but if there is I can't figure it >out. > >This was from an introductory course in AI planning. AI Planning! I find this >stuff intensely annoying. We cannot use a state transition diagram to diagram >parallel actions? (That would be impossible for anyone to even consider. Your >mind can't handle it.) But it can be used to represent multiple >outgoing/incoming directed edges labelled with the same action? Is the >teacher kidding? Maybe you guys who have already been through this see some >error that I don't see, but I just don't see why the teacher cannot just come >out and explain the conventions that are applied to terminology (like "state >transition diagram") and save the quizzes for the good stuff. Why challenge >the students with the professor's mastery of ambiguity? > >I make a lot of really dense mistakes in these courses. I don't want to waste >my time trying to outwit the teacher's challenges about computational >phlogiston. > >Jim Bromer > > >AGI | Archives | Modify Your Subscription > > >AGI | Archives | Modify Your Subscription AGI | Archives | Modify Your Subscription ------------------------------------------- AGI Archives: https://www.listbox.com/member/archive/303/=now RSS Feed: https://www.listbox.com/member/archive/rss/303/21088071-f452e424 Modify Your Subscription: https://www.listbox.com/member/?member_id=21088071&id_secret=21088071-58d57657 Powered by Listbox: http://www.listbox.com
