Boss

A human sends machine learning job to the Boss. A Job is JSON object containing the the desired machine learning script and the parameters needed for successful execution. The Boss stores the Job and Creates an Order. The Order is another JSON object representing the state of a requested Job.

         Job #4
 0                        Boss
/|\ +----------------->   ____
/ \                       +""+
                          +__+
                         [ ==.]`)
                   +----+====== 0 +--+
                   +                 |
                Order #3           Job #3
                   |                 |
                Order #2           Job #2
                   |                 |
                Order #1           Job #1

Worker

The Worker uses node-scheduler to fire an HTTP request to the Boss letting it know the Worker is "bored." The Boss will then search through the Orders for the ...

I've started designing a system to manage data analysis tools I build.

1. An illegitimate REST interface
2. Interface for existing Python scripts
3. Process for creating micro-services from Python scripts
4. Interface for creating machine learning jobs to be picked up my free machines.
5. Manage a job queue for work machines to systematically tackle machine learning jobs
6. Data storage and access
7. Results access and job meta data
8. A way to visualize results

I've landed on a fairly complicated process of handling the above. I've tried cutting frameworks, as I know it'll be a nightmare to maintain, but I'm not seeing it.

• Node for ...

Saving Brain Waves to Remote MongoDB by way of Node REST API

In this section I'm going to focus getting a remote Linux server setup with MongoDB and NodeJS. This will allow us to make POST requests to our Linux server, saving the EEG data.

I'm going to assume you are able to SSH into your Ubuntu 16 LTS server for this guide. You don't have a server? No sweat. I wrote a guide on setting up a blog post which explains how to get a cheap Linux server setup.

• Setting up Nginx on Linode

1. Install MongoDB

SSH into ...

Step 1: iOS App

I'm going to assume you have Xcode installed.

Step 1.1: Install CocoaPods

CocoaPods is a package handler for Xcode. We will be using it to install Alamofire , which a Swift library for making HTTP requests. We will need HTTP call support as we will call our server to store the EEG samples.

sudo gem install cocoapods

After you hit Return it will prompt for your password

Step 1.2: Setup Xcode Project

Now, let's setup a project folder. This is main folder where all the iOS app code will live. It's a bad habit, but ...

Description

This project takes brain wave readings from a MindWave Mobile 2+, transmits them to an iOS app via Bluetooth LE. The iOS app makes calls to a remote Node server, which is a minimal REST API, passing off the brain wave sample. The Node server stores the data on a MongoDB server. The MongoDB server is then exposed to business intelligence applications use with MongoDB BI Connector. Lastly, using Tableau Professional Desktop, the data is accessed and visualizations created.

Whew.

To recap: * MindWave Mobile 2+ * iOS App (tentatively named Mind Wave Journaler; Swift) * REST Server (mind-wave-journaler; NodeJS) * MongoDB BI ...

I've used Jekyll to create my website. A lot of the heavy lifting was done by Michael Rose in the form of a Jekyll theme he created called Hpstr.

• Hpstr

Much respect.

But, setup was pretty painful for me. I knew nothing about websites, let alone creating a static page website . I've decided to set my hand to journal a lot of the nuances I ran into. Try to save someone some time. Or, save myself some time when something goes wrong.

These articles will not be on CSS, JavaScript, or HTML. After tinkering with computers for 20 years, I ...

This article logs a weekend of efforts to create a deep-learning environment which meets the following criteria

• GPU Enabled
• On Arch Linux
• Uses Keras with Tensorflow as a backend
• Main IDE being RStudio

It was a tough one.

UPDATE: 2019-01-19

It seems the Anaconda conda install tool now takes care of the gpu setup.

The following steps:

• Install NVIDIA
• Downgrade CUDA to match CDNN

Can now be replaced by installing tensorflow-gpu after installing Anaconda.

Run the following once conda is setup:

conda install -vv tensorflow-gpu

TL;DR

There was error I had a hell of a time debugging. Installing the ...

This is a jumpstart guide to connecting a Raspberry Pi Zero W to the Google Vision API.

1. Get an Account

Sadly, Google Vision API is not a completely free service. At the time of writing an API account provides 1000 free Google Vision API calls a month. Then, it's a $1.00 for each 1000 calls.

I know, I know, not too bad. But this isn't a commercial project. I'm wanting to use it for a puttering little house bot. If my wife gets a bill for $40 because I decided to stream images to the API, well, it'll ...

Not too long ago there was a post on Hackaday about a little four-wheeled bot made with a Raspberry Pi and some eBay motor drivers.

Raspberry Pi Zero Drives Tiny RC Truck

I really liked the little chassis, ordered one, and was happy to find it was delivered with the motors already mounted. (As I become an aged hacker, it's the little time savers which are genuinely appreciated.)

On buying the chassis I'd already decided to use one of my Raspberry Pi Zero W's (rp0w) to control the bot. I really like Arch Linux on the rp0w. It's light weight ...

Setup the Arch Linux SD Card

This article will be building off a previous article, where I walked through a headless setup of Arch Linux on the Raspberry Pi Zero W (rp0w). And if you aren't familiar with the term "headless setup," essentially, we are talking about setting up the SD card so you don't have to plug it into a monitor. You can plug it in to your rp0w, boot it, and SSH in.

• Installing Arch Linux on a Raspberry Pi with Immediate WiFi Access

Now you've setup the Arch Linux card and SSH'ed lets go through setting up ...