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I attended GTC 2020 online and they had a set of sessions that talked about the Jetson Nano.  I realized I had let my projects go to the wayside and I wanted to get back in the fold. I picked up a Jetson Nano kit from Sparkfun as I wanted to go through V2 of the course.  (I completed V1 of the course already earlier.) I managed to get some cool swag from GTC 2020 - mug, t-shirt and some Lego blocks. Sparkfun was prompt in getting the order into my hands and I was able to unbox it earlier this evening. NVIDIA has a great getting started with the Jetson Nano page , so I followed that to get the system up and running. I'm going to document my experience going through the V2 course  in my next post.

Home built Hadoop analytics cluster: Part 1 [ Background ] [ Project Summary ] [ Building the cluster ] Background I am pursuing the UW Master of Science in Data Science degree from UW-Wisconsin - University of Wisconsin System / UW Extended Campus.  My home school is at UW La Crosse .  For the Fall 2020 semester, I am taking DS730 - Big Data: High-Performance Computing . I have been learning how to implement algorithms that allow for the distributed processing of large data sets across computing clusters; creating parallel algorithms that can process large data sets; and using tools and software such as Hadoop , Pig , Hive , and Python to compare large data-processing tasks using cloud-computing services e.g. AWS . One of the things that struck me so far in this course is how everything was "setup" for me in this course.  While I understand the intent of the course is to focus on the programming skills to handle big data within data science, part of me wants to fo...

Over the next few days I am planning on attending the GTC (GPU Technology Conference) being hosted by NVIDIA. https://www.nvidia.com/en-us/gtc/ Looking forward to some useful sessions to help with the Jetson line. One of the skills I'd like to acquire is to train an model and then optimize it for the Jetson device. More to come!

Linux Version lsb_release -a I determined I'm running Ubuntu 18.04. Docker I took the time to download Docker for Ubuntu and followed the instructions here: https://docs.docker.com/engine/install/ubuntu/ ROS Download / Setup Based on the fact that I'm running Ubuntu 18.04, I will be using the Melodic version of ROS http://wiki.ros.org/melodic/Installation Managed to get it working under python 2.7.  I really want to make sure however that I'm going to be compatible in the future, so I want to get this working under python 3.x but that will come later.  

 I've been meaning to install my Titan RTX for a while now... Finally got around to it! brianchilders@education:~$ nvidia-smi --query-gpu=name --format=csv,noheader TITAN RTX GeForce RTX 2080 Ti Will be putting the card through some TensorFlow exercises in the near future.

 Well it's been a busy life with COVID-19 and learning how to adjust to a new way of life.  I am starting to get back onto the self-driving car project and revisiting it. I have about 3-4 different hardware solutions for self-driving cars - all in various states of assembly.  I think I just need to pick one platform and stick with it. So to that effect I think I'm going to start re-reading about the ROS Robotics platform.

So I found myself on Sunday night thinking that I need to brush up on some AWS skills.  I attended a workshop at AWS re:invent 2019 put on by Paul Vincent from AWS about CDK.  I decided to read up on " Getting Started with the AWS CDK " and set up a VPC to do some other cool networking tasks.