Job Interview Tips and Open Ocean Swim | 100 Days of Code 4

What's good, y'all? It's day 14 of the 100 Days of Code series. Thank you all for joining in. What am I up to today? Well, this morning I've just been uploading some videos to YouTube, and now I'm going to be studying deep learning all day. I'm at my friend's place using his internet because it's a bit faster than mine, but I'm all about Udacity today. So some new, new classes just got released. I've got this video by Siraj, How to Succeed in Any Programming Interview. I'm going to start my day of studying off watching this. I'll take down some notes and I'll hit you up with them so you can learn too. And then later on I'll show you what my assignments are for the next, I don't know, the next phase in this program. See you soon. What's really cool about Siraj is that he can fit a whole bunch of information into a short video. That's something I want to aspire to. So his video on how to succeed in any program interview, I've got a whole page of notes and it was only about a 5-minute interview, but I'll pull out my top 3 things. So how How to succeed in any programming interview? Of course, study. So I don't know if I'll ever go for a programming interview. Maybe I will, but who knows. But incredibly, incredibly important to study. Like any, any job interview, just study. Make sure you know your stuff. If it's on your resume, make sure you know what you're talking about. Number 2 for me would be to build your portfolio. So if I'm an interviewer, I don't really care about what you can do. I care about what you've done. So have you worked on any projects? Have you contributed to any projects? Are you currently involved in a project? Something like that. Because everything else is just theoretical unless you can sort of show me some evidence of what you've actually done. That's what I'm most interested in. And what's the last one? So number 4, probably no, number 3, sorry, would be reach out. Don't be afraid to ask. Like if you see a job you like, of course apply for it on the website, but then do some research. Find the actual recruiter that's doing for that by searching LinkedIn, searching Google, using a bunch of keywords searches, finding that person, email them, reach out, say, hey, I've seen your position here. What, what can I do? That's, that's exactly what I did actually to get an interview at Airbnb, um, over the phone for technical support, not any programming, but technical support. Um, I reached out to the recruiter on LinkedIn and she, she called me up the next day. So I didn't get the job, but that's all right. Wasn't meant to be. Oh, and that's probably number 4 actually. If you don't get it, that's all right. Take, take it as a stepping stone to the next one. But I'll link the video that I just watched, Siraj's video, in the description, and that way you can find out a lot more. So yeah, check it out, it's awesome. Actually, check out all of Siraj's channel, it's amazing. I'm going to get back to doing more deep learning study, and I'll show you my projects later. Sup y'all! So I've been sitting here on my friend's balcony just doing some reading, updating some YouTube video thumbnails and whatnot, and checking over where I'm up to date in terms of my deep learning course. And other study areas. I spent most of today at the library, as you can see here. Today was all about deep learning, so about 3, 3 and a bit hours on my Udacity course. And here's the project I was telling you about. So what do we have to do? Generate my own TV script. Did I get that zoom right? So, I've got to take in 27 seasons worth of Simpsons episodes, analyze their scripts using machine learning, and then generate my own TV script of a scene in Moe's Tavern based off the 27 seasons that I've analyzed. So, good luck to me. This is due in about 12 days. So, where does that put us? Maybe June 8th, I think. I think is about 12 days from now. Or maybe, maybe less, but I'm not sure. And how have I been tracking all my stuff? I'll show you here as well. So I use Trello to track. So these are the resources for my Udacity course. We've got projects, to-do, this is what I'm currently doing. I include some other courses in there because they're all related to deep learning because it's such a big field. And then here's what I keep track of what I've already done. So if we go across April, March, whatnot. I need to really get better at this zoom. Um, but yeah, really handy tools. Toggl and Trello really keeps me on top of all this stuff that I'm doing. Check out this sunset, by the way. I don't know how well my camera will pick that up, but look at that. Got a beautiful view. Construction site over here. Amazing sunset over there. That's it for learning today. That's it for the vlog today. I've got some friends coming over later. We're all gonna watch a movie called Generation Iron 2. Really excited for that. And then probably work out because it'll hype us up. So I'll catch you tomorrow. I think it's day 15. What's good, y'all? Day 15 of 100 Days of Code. I just finished meditating with Headspace. I'm doing the Headspace Pro little 3-pack. I've done about 300 or so sessions now. It's changed my life. If you've never tried meditation, highly suggest it to you. But now it's time to have a cold shower. Check it out. Only cold. Been having cold showers lately. Really wakes you up. Incredibly— incredible health benefits. I actually did a video on the benefits of cold showers, but let's see. Gonna focus on the breath. Cold exposure is good for the body, but it's every single time, it's incredibly difficult. Aye! Never feel more alive than after a cold shower. Try it. Big day of machine learning. Check this out. I've been learning about neural networks and their representation. I got 5 out of 5 on my quiz, but I'm still yet to do my programming assignment, which is multiclass classification and neural networks. So I've got to do something in MATLAB to recognize a whole bunch of handwritten data— sorry, handwritten digits. So I've got to work out how to write a neural network for that. But I want to show you something else. This is my time tracking app called Toggle. And so this is what I did last week, or about last week. I don't know if you can see this there. Machine learning Coursera. So about 22 hours or just under 22 hours of study. Most of it was machine learning. Camera's not working, but yeah, I'll just read it out to you. 22 hours total of study. Machine learning course, 10 hours. Python, 5 hours. Treehouse, 1 hour. Oh, this is all gonna add up. I'm reading it out wrong. Udacity deep learning course, about 10 hours as well. So mostly between Udacity and machine learning course, uh, Udacity deep learning and machine learning on Coursera through Stanford University. And they both, they both encompass Python anyway, so you might as well say Python is, is across all of them. But that is me done for coding today. It is the 26th of May, day 15 of the 100 Days of Code Challenge. I'm gonna go see my friend this evening, and because he's going for a swimming race tomorrow, so I might even record a little bit of that. But I'll catch you tomorrow. May 27th, 2017. My boy is about to do an ocean swim. How you feeling, cuz? I need the carbs. What do you got there? You got cereal with yogurt, berries, and almonds. How far are you swimming? 2 kilometers in obviously crystal conditions. Check out this morning. So you gotta go brisk 12 degrees, but the water temp's about 21. So they're your markers? Yeah. All right, so you'll be going right out here, then to here, then out, back in, finish line. No, no, no. I'll make sure I get a video of you. Sounds good, brother. Am I even— I don't know if I'm even in frame. Wait, actually, I'll show you where we are starting. I start in the bay. I start around here, and then we go even further along the national park, and then we actually end up coming back along these cones. Oh, you come back? So start here, out back and around, come in here around the headland. We'll check back in when he's finished. I need to drop some kids off. 10, 9, 8, 7, 6, 5, 4, 3, 2, 1. Glad it's him, not me. I'll do the next one. I'll give you guys a quick brief. A little wave in behind, but here we go. Chelsea's up and running. Give him a round of applause. Here we have Chelsea Gubeka. How you feel? Swim Nusa 2017. Check it out. Just finished my third assignment of machine learning. So this is the end of week 3 of the machine learning course I'm doing on Coursera. Absolutely loving it. It's pretty difficult at the moment, but slowly learning it. It's, it's really exciting what's going on. And you'll check it out, 28th of May 2017. Today's day 17. Of the 100 Days of Code Challenge. I didn't do any code yesterday, that was day 16, because I was at— as you'll see in the previous clips, I was at, uh, the coast with one of my friends and he was doing a swimming challenge. Awesome work, so proud of you, Don, if you're watching this. Congratulations, you did an amazing job. So I was chilling out with him and his girlfriend and his family and whatnot at the beach house. I was happy to take a day off and get back into it this week. I've got a few goals for this week, so I'm gonna get on top of my Udacity course, which is— I've got an assignment due on June 6th, so Project 3, aka generate a new Simpsons episode after analyzing 27 seasons worth of text through sentiment analysis and RNNs, so recurrent neural networks. And something also really cool, next weekend I got accepted into an advanced starters bootcamp So, for June 3 and 4. So, I'm going to try to get this done before this, and it's the 28th. So, I've got, I don't know, 4, 5 days. 5 days to get it done. We can do it. You'll see it all anyway. I'll let you know once I finish my third Udacity assignment. But what's the Young Starters Bootcamp? So, I don't really know, but essentially I'm going along and hopefully some of my team are coming with me, which is my little brother and one of my best friends. To a mentorship program so they can, uh, we can give them our startup idea and then they can blow it out of the water for us and tell us where we're going wrong apparently and see, see what, what we can do to improve. So try to get some footage there, but this is going to be the last clip of Vlog 4, so I hope you're enjoying it. I'll, I'll let you know more about the, the projects I'm working on next week, uh, in the next video, which we'll upload and probably 3 or 4 days from now. So stay tuned. And if you want to see anything else, like whatever you want— workouts, food, cooking, whatever, other stuff— let me know in the comments or hit me up on social media @MrDeeburke anywhere. But thank you so much for watching. I'll catch you in the next video, and I've got to go get back into some code. Peace!