Passing Project 3 of Udacity's Artificial Intelligence Nanodegree | Learning Intelligence 9

Key Takeaways

what's going on learners welcome to learning intelligence episode 9 IV log series documenting my journey through myself created artificial intelligence nanodegree in this episode I'm working through project 3 of NRC artificial intelligence no degree which is creating a project domain that dependent language planner or planning program of some sort using artificial intelligence to plan the most efficient way for airports to manage their cargo through photography is a relatively simple problem there's only a few airports and only a few pieces of cargo but I think that the fundamental principles in terms of how to organize and how to build one of these planners is is valuable and it can be the benefits of it is using these type of languages of pddl I believe it's called project and a planning domain dependent language is that it can be scaled up to two airports of greater size and lots of different cargo sources and whatnot so people like or big logistics company like Stoll and other shipping companies I can't really think of it over my head we'll be able to use algorithms like this to effectively plan their delivery routes they're transporting routes so that they can save on time and get their packages to you and I quicker they can save on fuel so many things this is what happens when you try to complete every task on the project at once I'm going to gue sheets document here tracking the performance of some my algorithms we've talked about in previous episodes of breakfast search depth-first graph search a few others there'll be more on that soon got some test running here in terminal I think this one's gonna this one's gonna timeout it's trying to solve an Air Cargo problem using the breadth-first tree search algorithm and look at this one a simple problem had 5960 nodes whereas with another algorithm it only had 170 so this breast first tree search that's no good for the problem I'm trying to solve I think so far start search algorithms the best one poor that was technical then we go into here all these different tabs open with different different help sections on the Udacity oh I promise you in a Crow's that one little tip that I learned command shift T brings back a tab that you closed you've got more coding windows up here I'm still having trouble going from one Python program to another I'll show you so if we go up here I'm having trouble understanding where is it here so from importing say if we import another function class something like that into this essentially object orientated programming I'm having trouble understanding the origins of that function and then how how to use it in the current window that I mean my brain is is overloaded at the moment so I've out sourced my task or the next tasks I have to do to this bad boy I like using a notebook for for some technical difficulty technically difficult stuff I can't even talk right now so these are the things that I've done today I like to put big green ticks next to the tasks that I've done and there's what we're going to be doing tomorrow we've got plenty of plenty of functions to implement as we work towards submitting project three of the Udacity artificial intelligence now agree if you want some intense focus sessions check out this brain fm I'll put it in the description but essentially it's music curated to develop extreme focus relaxation and sleep I haven't tried these two because they're the paid version but I just did this one the focus for a two hour long session and I got an incredible amount of work done and it's time for me to take a break now but I just quickly run you through what I'm doing because I didn't really understand a lot of the classes and functions in my planning draft up high or this file here I went through each and every class each and every function and wrote down a whole bunch of notes how I can understand them check this out that's six seven pages here essentially went through everything parameters symbol instance instances created more classes I went through it all but now I've got a deeper understanding of of the program as it solves and what the what the goals are the program itself sorry and what the goals are of each function and so rather than just diving in and me trying to code the functions and sort of not knowing what the background is I now have an overall concept of what the background is and I'm starting to employ the functions more and more easily note to self do that for future reference if you don't understand something spend the first I just spent two hours planning on what to do that's like if you got to cut down a tree spend the first couple of hours sharpening the axe it'll make it a lot easier check it out boys and girls project three officially submitted and waiting for marking so if we go here look what we can do we'll move this project into the done column so got a few more things to do but if you want to find this Trello board I made it public so it'll be in the description says project three done or at least my first submission is up there I'm confident of this one will pass I went through the rubric which I should have done at the start and made sure that my project ticked off all the boxes that was required there but of course you'll see as soon as I get the marks back how I did if I need to resubmit it or whatnot and the feedback I get from a reviewer I'm gonna celebrate with the work out and I'll come back soon your dossier reviewers are really quick so we'll see how we go check this out I want to take some time to highlight Udacity support team and the Udacity reviewers so I submitted my project at 1:55 p.m. and it was reviewed by 3:15 p.m. just over an hour an hour and 15 minutes of Arabelle so I went to Jim and came back and the project was done I didn't pass have to do some do some changes but that's all good I've implemented now already it was only a few minor changes but just over an hour and look at this look at the amount of feedback I got given couldn't whole paragraph answering my questions here feedback on each and every single criteria and then comments on my code all within an hour so that took me probably close to 15 to 20 hours to to implement the whole project and the reviewers must be absolute Wizards they were able to go through my entire thing pick out where I was wrong compliment me on we're done well and get it back to me in just over an hour so I'm gonna resubmit the corrected version that I did I'm confident this time it will definitely pass because I implemented their feedback to the best of my ability and then I'm gonna go watch mr. robot do you watch it it's like my favorite show put a comment below if you watch mr. robot welcome to get out we officially past project free and look at this amazing review again brilliant learner great work well done and then some amazing more recommendations to go and learn more I'm pretty sweaty I just went for a ride and came home and checked the email to say that I'd passed my project so I'm stoked I've got a few things to do I think that's gonna be it's gonna be wrap up for this video that's enough coding for the week actually I lied I'm gonna get in and do some challenges on hacker rank you haven't heard of hacker rank by the way I'll show you quickly so is this website where you can practice different coding challenges I'm gonna do the 30 days of code introduction to Python to get some more more practice in part and I think the more practices better as long as you're like if you're learning a new language the more you could speak it the better you get at it so I'm gonna do daily challenge I'm hacker rank it shouldn't take too long because I'm still an intro challenges and then I've got some planning to do for my next week of classes next week of learning in the artificial intelligence nano degree I go to class on probable the Bayes Nets inference in Bayes nets hidden Markov models and then the final project of term one before we move on to some deep learning in applications but that's it for this look I'm still puffin from the workouts do go beard the sweat dripping down me but that's it for this week of learning intelligence thank you so much for tuning in if you want to see anything in a future video post a comment below the sweat in my eyes otherwise keep learning and we'll catch you next week