There is no “golden era of F1”. There are good individual seasons slapped between mediocre to passable seasons that contain a great race or two and that’s only sometimes. The list of actual great races to boring ones is so skewed it’s not even funny
ℹ️ #HayesHarlington - Network Rail engineers will undertake further repair work overnight, meaning NO Great Western Railway and Heathrow Express services will run in and out of London Paddington from approximately 22:00 until 06:00 tomorrow.
Oh and finally thanks to @AndrewCarterUK for his wonderful MNIST Neural Network in Plain C as a starting point for someone very familiar with C, and not so familiar with machine learning github.com/AndrewCarterUK…
Check out this fun demo! Recognizing #MNIST digits using a neural network in #FPGA. 12K FPS inference state machine on a little Artix 7 dev board. All in an easy C look. What would you want to try next? #machinelearning#embedded Read the full write up:
github.com/JulianKemmerer…
A new Signals and Threads, this one discussing memory management with the inimitable Stephen Dolan. The discussion was wide-ranging and enormously fun. I learned a ton!
signalsandthreads.com/memory-managem…
@settermjd I use the i3 tiling window manager because it allows for really efficient management of space with keyboard shortcuts. The Regolith Linux distribution bundles it in with Ubuntu!
@AndrewCarterUK Sorry Andrew. We aren't responsible for the parking outside of our stores. It will will a private parking company nominated by the landowner or local authority -Natalie
My yearly post on what the interns did this year. Some fun stuff! A library for writing Wireshark dissectors in OCaml, simulated annealing for sharding trading systems, and working on a complex migration for a deprecated regexp library.
blog.janestreet.com/what-the-inter…
@blizzar01652583 Andrew Ng does a briliant introductory course to machine learning which is free on Coursera. I'd also recommend trying to implement linear regression and a neural network with a single hidden layer without using libraries just to make sure you understand the maths.
@blizzar01652583 You could predict the two teams scores with two regression output variables. You might need some way to address that the home team score and away team score are not statistically independent.
@AndrewCarterUK In your guide you used a classification model. If I were to not only predict win, draw, loss but also the actual score, I would need to use a regression model, right?
@unreal4u It's all under the PiPHP organisation so it doesn't need to move :) github.com/PiPHP - I don't really create big projects under my GitHub namespace for exactly this reason!
@AndrewCarterUK Oh nice you could find someone! Will you transfer the repo or will they create a new one? If so: could you share it please? Thanks for all the work!
I don't have time to maintain github.com/PiPHP/GPIO anymore (PHP library for the Raspberry Pi). It needs a bit of TLC and, as it still attracts interest from users, I plan on marking it inactive. If anyone would be interested in maintaining it instead, please let me know :)