Everyone has already heard of or use GitHub's Copilot or ChatGPT to build their next billion dollars idea. I am a boring java dev and have spent the last few months (racing DeepRacer, working, helping

I'm very excited about being able to attend AWS re:Invent in person this year. Let me share which sessions I've reserved seats in. Assumptions Workshops > other session types - there are many types

In this post I will share how to add an AWS service to AWS CLI utility and for use with boto3. One of the missing features AWS DeepRacer Community have been regularly raising has been lack of CLI access

Today I will run a machine-learning-backed code analysis against the Python-based deepracer-utils project. As the AWS re:Invent continues, many new products have been announced. I was especially impressed

I have spent a lot of time thinking about the log analysis solutions in the last 10 months. I would like to present to you the new log analysis solution to which I have transformed my notebooks that I

I took up a new hobby seven months ago. I'm a boring Java dev, I work with legacy systems, I like improving them and making them maintainable, non-legacy elements of my company's ecosystem. When I attended

In the Community it is important to us to help new members when they struggle, enable them when they want to contribute and support them in progressing from passive to active contributors. This is why

August has been an incredible month in the AWS DeepRacer world. The Udacity & AWS DeepRacer Scholarship Challenge brought a lot of attention and this has lead to many new community members with varying

August started in the world of AWS DeepRacer with a high C - Friendly folks at Udacity created this challenge that you might want to get your hands dirty with: AWS DeepRacer Scholarship Challenge. TLDR:

In the previous post I mentioned raising a pull request to AWS with my version of log analysis. I received first feedback, including that from myself. The issues I was aware of were: broken timestamp handling

Over the whole time I've spent learning to DeepRace, I kept mentioning how log analysis was important to me. Let me expand on it a little bit. Log analysis I wrote a post about analysing the logs with

After the first virtual race came the second: Kumo Torakku, which is Japanese for a cloud-shaped truck. Kumo Torakku A couple new things got introduced in June. The track came with a city scenery that

Amazon have released a video yesterday to tell about the Virtual League and I'm in it: In terms of training I'm still blocked by the costs. Support have provided feedback regarding half of the problem,

After the AWS London Summit I joined the first virtual race: The London Loop. I must admit that I didn't write during that time because it was very competitive and I have spend a lot of time trying to

Training a model for DeepRacer involves getting a lot of data and then while you can ignore it, you can also analyze it and use for your own benefit. You can spend an hour watching the stream as your car

On Wednesday I took part in autonomous car racing league. Let me share the story. I'll start with a trailer from Amsterdam: What is it all about? Amazon's AWS is organising a series of Summits - one day

Having completed the tutorial and started training, I had to decide on a proper way to get my DeepRacer going and doing it well. Analyzing the track I started with a bunch of default sample rewards like

A lot happened Since I wrote the recent post. The most important aspect is the general availability of an AWS DeepRacer Console. This has very significant influence on my plans. AWS DeepRacer Console is

I was very lucky to take part in AWS re:Invent this year. It is a big conference by Amazon, organized in Las Vegas. Events like this serve a number of purposes, among which I could mention new products

Let's play a game with kids. Time for some computer science without computers. Source: Pixabay Polska wersja tutaj We usually spend summer with my family in Poland. It takes some effort to get seven kids