OpenBlender

Exploit the world's data with our easy-to-use AI tool. Transform your business with AI-driven insights.

#GPT4 #ML #AI #NLP #DataScience #Analytics

[OpenBlender @OpenBlender]

'Make a Machine Learning Pipeline which inputs Business News and generates predictions for Apple Stock Price re-training through time'

https://t.co/Pf3td8QPSU

#nlp #ml #datascience #trading

[OpenBlender @OpenBlender]

@mattshumer_ In every panic “AI is going to replace me because it can now do what I currently do” scenario, the assumption is that the demand for what we currently do will remain the same. Big oversight.

[OpenBlender @OpenBlender]

AI in 2026, here's what to expect. https://t.co/ItckLr5FUh

[OpenBlender @OpenBlender]

AI in 2026, here's what to expect. https://t.co/ItckLr5FUh

[OpenBlender @OpenBlender]

@kirawontmiss Tell the teacher to google 'The original sin of mathematics' and thank me later.

[OpenBlender @OpenBlender]

Python Tutorial of the week:

Use #NLP to predict Amazon.

Have a nice Thursday 😎

#ML #AI #python

https://t.co/oNCsSmWPgZ

[OpenBlender @OpenBlender]

A deep intro to #TimeSeriesAnalysis and a comparison to using 'time aware' #MachineLearning.

#data #data4good #DataScience #deeplearning #100DaysOfMLCode #analytics #dataanalytics #salesforecasting #demandforecasting #forecasting #datascientist

https://t.co/xMrCaAIG7E

[OpenBlender @OpenBlender]

Ever wanted to Optimize portfolio R.O.I. by modeling time events?

#DataScience #Python #Statistics #Modeling #TimeSeries #AI #100DaysOfMLCode #NLP #MachineLearning

https://t.co/nwmcyNUceC

[OpenBlender @OpenBlender]

A simple way to fit 'Time To Event' data and make predictions using #Python!

#Python #AI #TimeSeries #DataScience #MachineLearning #100DaysOfMLCode

https://t.co/sw7Bc0DArh

[OpenBlender @OpenBlender]

#python tutorial of the day:

"Predict #cryptocurrencies applying #NLP to global news"!

#AI #ML #Bitcoin

https://t.co/88UH806CTl

[OpenBlender @OpenBlender]

Ever wanted to know how to model time events using the classical distributions in real data?

Here's your chance!

#DataScience #Statistics #R #Python #ML #100DaysOfMLCode

https://t.co/mmBcFa4rWq

[OpenBlender @OpenBlender]

Maybe this is what Bayes meant by 'the art of quantifying subjective information' :)

#DataScience #100DaysOfMLCode #Statistics #Python

[OpenBlender @OpenBlender]

Did you know that companies reduce their forecast error by over 80% using external features?

#data #data4good #DataScience #ML #MachineLearning #mlearning #deeplearning #100DaysOfMLCode #analytics #dataanalytics #salesforecasting #demandforecasting #forecasting #datascientist

[OpenBlender @OpenBlender]

What is the Gamma Distribution used for?

https://t.co/e4EOvuPs7Q

[OpenBlender @OpenBlender]

'Make a Machine Learning Pipeline which inputs Business News and generates predictions for Apple Stock Price re-training through time'

https://t.co/Pf3td8QPSU

#nlp #ml #datascience #trading

[OpenBlender @OpenBlender]

Ever wondered where #algorithms come from?

https://t.co/x79qVxQRoV

[OpenBlender @OpenBlender]

The best model to predict new retail store locations success using #Python!

#DataScience #100DaysOfMLCode #AI

https://t.co/enBUB7ydWh

[OpenBlender @OpenBlender]

What is the Gamma Distribution used for?

https://t.co/e4EOvuPs7Q

[OpenBlender @OpenBlender]

A simple way to fit 'Time To Event' data and make predictions using #Python!

#Python #AI #TimeSeries #DataScience #MachineLearning #100DaysOfMLCode

https://t.co/sw7Bc0DArh

[OpenBlender @OpenBlender]

OpenBlender named Gartner Cool Vendor for 2021-2022!!

#data #data4good #DataScience #ML #MachineLearning #mlearning #deeplearning #100DaysOfMLCode #NLP #analytics #dataanalytics #salesforecasting #demandforecasting #forecasting #datasciencewithpython #datascientist

[OpenBlender @OpenBlender]

Time Series Analysis and Time Aware Machine Learning, a deep and vast read.

#data #data4good #DataScience #deeplearning #100DaysOfMLCode #analytics #dataanalytics #salesforecasting #demandforecasting #forecasting #datascientist #timeseries

https://t.co/xMrCaAIG7E