Wondering if Create ML has a Sound Classifier as well.. Will make it easy to classify different bird's sounds or to identify music notes from different instruments.. something like piano/guitar notes classifier
HN user
uberneo
Great product!! Super simple to onboard, cheap and very useful. What service are you using from sending Emails and Text notification?
With that sliding keyboard it reminds me of Nokia N900. I still have one of those .. might dust it off so !!
Simple example of MicroPayments using Bitcoin Lightning Network - https://twitter.com/micropaylink/status/1231255048509952002?...
few more similar (python based) command line options for Firefox Send - https://github.com/nneonneo/ffsend & https://github.com/ehuggett/send-cli
Would be great to have something like curl -X POST @myFilePath "https://api.send.firefox.com"
This looks really great with such a simple UI.last year I tried to do a realtime sentiment analysis on twitter messages using TextBlob.It was fast but not very accurate. Can you suggest any other library which might works fast enough on realtime messages.
This will work!!
parseFloat((0.2 * 0.1).toFixed(10))
I can imagine , as a tech stack , you must be using ccxt , nodejs and some Timeseries database ? Also what all distinct "channels" you are saving ?
Hey , just check your product , its looks great!! good job. Wondering from how long you have been storing this data and have you using the Public API from each exchange to fetch all this data?
This reminds me of the movie "The Hummingbird Project" - https://www.imdb.com/title/tt6866224/ , where speed matters in all Financial transactions and even a 1ms matters in the game
I can see that there is no variable of "fees" which usually applies even on a LIMIT order. For example Coinbase Pro has Maker fees of 0.15%. Ideally this fees should be added to BUY order and subtracted from SELL order, as that will actually cost you.
Well thats a really great initiative as this gives good money to the local villagers who are just enough educated to do this respectable office job. One concern is how they are handling the sensitive client data and why does client trust on them for sensitive proprietary data.
More details about how you are doing this would be great. May be a high level diagram
Try to use Wijmo -- https://www.grapecity.com/en/wijmo Its off the shelf plugin and compatible with raw JS , AngularJS, Angular 2 , React & Vue. I agree that documentation is not that great but the with few examples you will be ready to go very easily.
Clean execution !! Is there a functionality where you can create dependencies between jobs, means run job 2 only on the successful run of job 1.
Also are simply creating a cron entry based on whats inputted in frontend?
Would be interested to see the flow and that how you are generating and saving the logs
How about if you are just identifying that whether its a Male or Female and their ages without uniquely identifying that it was 'John Doe'.. Does GDPR will still have problems with that ?
I still remember how happy i was holding the first Opensource Linux phone in my hands back in 2008 . It was fun to compile a basic c program using gcc . I remember my first hack of my life #1024 http://neofundas.blogspot.ie/2009/09/1024-hardware-fixdeep-s... Also remember when at 6.30 AM in morning you have to type "ps -ef | grep -i alarm" , find the process id and then kill -9 id to stop the alarm and that too using the stylus. Definitely these commands will make sure that you will wake up 100% , a perfect alarm :)
Well charts is a good addon but just wanted to understand how they are able to do this ... i mean Machine Learning part , for example if somebody asks "Show me sales of X product in last year" , from machine learning perspective how this gets interpreted in actual SQL query ..
I have never thought that this day will come and finally we need technology to remind us about meeting our friends. Its sad. On the side note nice little well executed project.
Nice. I like this realtime data , plus you can see historic images well. Might be good image dataset for doing some Machine Learning Prediction of Weather, something like take snapshot for a certain area and based on the Historical images predict the next Cyclone
If you are just getting started then https://www.floydhub.com/ is a good place as they provide initial 100 mins on GPU for free and then later on approx 50% cheaper than AWS
Another good idea if somebody make a Good self paced book for Machine Learning. There are millions of tutorials available online but its the similar situation as Ruby on Rails. All somebody need is to just aggregate all this info in a single book and with Machine Learning hotness these days you will probably end up selling few of them. Just an idea
Recently i have started working with NightmareJs to scrape few sites. There also you have to mention the flow as in click here , grab this data n all. Wondering how is it different from that . Also can we use it to scrape data from a site and save to database?
Added the missing Teradata support as the source (kind of) - https://discuss.redash.io/t/teradata-data-source-support/83/...
Waiting to resolve few more --
1) Functionality for CSV/XLS file import , like in Tableau . Some discussion on - https://discuss.redash.io/t/support-csv-data-source/216/5
2) Functionality to select "ALL" in filters
3) Functionality to merge data from multiple data source. I know it does exists in Paid version but waiting for it come in Opensource version.
Super interesting stuff . Farmlogs is another related example - https://farmlogs.com/
Looks good, any github?
Its a pure Time Series data with sensor is recording approx every 1 sec. Which protocol you are using to send this data to server , as posting every 1 sec oever TCP for a sensor doesn't seems a good idea. For any IoT which protocol you guys prefer to push data to server
Nice weekend project -- How often you are sending data to Elasticsearch and how does Kibana is polling the Elastic?
Another good combination would be Influxdb + chronograf
Nice aggregation -- Would be handy , if the books available will be by Category and Source (Amazon , Safari, O'Reilly)
Do you mind sharing the Tech stack behind this .. does Android app is uploading data every second and how you are ingesting all this data in realtime .. which Database are you using?