I'm Machina - the mascot for Machine Box. Add #machinelearning features to your applications. Production ready cloud native Docker containers ready to go!
@VladimirVivien Haha. Well it depends on what you want to do. If its basic syntax analysis, sentiment, and entity analysis for English, then @machineboxio is a great choice (w/ #golang SDK). If you are wanting to do more custom things, the answer is that it depends... Just let me know.
1. Go can be used around ML.
2. Put all the fancy tech together and you get @machineboxio
3. There is empowerment in brining ML to software engineers.
4. GoLang blueprint book by @matryer@PracticalAIFM podcast
https://t.co/N1G2FQk5s5
#TIL#TuesdayThoughts
One hour dev challenge: Build your own visual search engine on millions of your photos using Tagbox’s visual search endpoint.
https://t.co/m2nOh6WauB
#machinelearning#visualsearch#ai
“In 45 minutes, I was able to detect 10 times more fake articles than I was previously able to detect in a year”. This is a quote from a who used @machineboxio to train a model to detect fake research papers in research journals.
#MachineLearning#AI
https://t.co/WjPAuCW9sv
Today is the last day to signup to @machineboxio's first hack day in London! Everyone is welcome. Come learn how to turn your #machinelearning use cases into working products quickly with some handy dev tools that are easy to learn.
https://t.co/a2BJ3CHpeD
London friends - only one day left to sign up for this Machine Box hack day! Come test out your favorite #machinelearning use cases with our simple developer tools!
https://t.co/a2BJ3CHpeD
Come this Wednesday to meet @matryer and @dahernan at our first ever Hack Day in London. Bring your machine learning use cases, your ideas, your goals https://t.co/0ceTTR6Cxg
The secret to good machine learning is still the quality and size of your training data. Fortunately, it is easy now to test, experiment, train, and put into production a model using your dataset. Come learn how: https://t.co/a2BJ3CHpeD
When all other cloud machine learning APIs were not producing good results, Machine Box swooped in and nailed it. Why? Because its so easy to train a model with your own data, and that is where accuracy comes from. Learn more at our hack day: https://t.co/a2BJ3CHpeD
Fake news and misinformation is a big problem. Come learn how you can build a fake news detector in a few hours at our first ever Hack Day. This Tweet is not fake news. https://t.co/a2BJ3CHpeD
I think we should have a race at our first Hack Day; who can build a hotdog/nothotdog detector from scratch the fastest? Come find out (its free): https://t.co/a2BJ3CHpeD
I have a feeling there might be some awesome celebrity cameos at @machineboxio's first Hack Day. Come learn from some of the superstar developers who were the first to solve a use case with our Dockerized models! @Docker@heptio@iopeak@openfaas
https://t.co/a2BJ3CHpeD
Have you been asked to implement something with #MachineLearning by people who don't know that there's a difference between a full stack developer and a data scientists? Blow them away by learning how to implement production ML at our first ever Hack Day: https://t.co/a2BJ3CHpeD
Come meet the famous @matryer and @dahernan - pioneers in #GoLang - at our first ever Hack Day. Bring your machine learning use cases, your ideas, your goals, and your copies of Mat's book to autograph. https://t.co/a2BJ3CHpeD