AI News, Educating everyone to create value from data with machine learning
- On Sunday, June 3, 2018
- By Read More
Educating everyone to create value from data with machine learning
In the PAPIs team, we share the vision that a predictive world will be a much better world.
We are beginning to enter this new world where we can do things such as predicting demand to make better usage of our resources, where we can anticipate breakdowns and other issues (including medical ones) so we can take action to prevent them.
In this world, information systems also give us access to the right content at the right time, businesses serve customers better by predicting their needs, and tedious tasks that require intelligence are automated.
Bret Victor, a designer behind the 1st iPad, wrote in his 2006 essay Magic Ink: “Until machine learning is as accessible and effortless as typing the word “learn,” it will never become widespread”.
5 years later, the McKinsey Big Data report pointed at a shortage of talent necessary for organizations to take advantage of big data in the coming years.
Today, there’s a new wave of data analysis tools that provide an important part of the solution by removing many barriers to entry to machine learning.
Some of these tools were presented last year at PAPIs ’14, the 1st International Conference on Predictive APIs and Apps, and I believe that they are key to exploiting the value of data at large scale, in all domains.
- On Tuesday, March 26, 2019
Open source Machine Learning and Predictive APIs - Alex Housley #PAPIsConnect
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Why and How To Leverage Predictive APIs In Any Application
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Ubiquitous Machine Learning - Keiran Thompson - PAPIs.io '14
Big Data gets all the headlines but the larger shift will come from machine learning becoming ubiquitous. API services like Datagami enable non-specialist web ...
Demo of using the PredictionIO Machine Learning system with the DreamHouse Salesforce App Cloud sample app.
Azure Machine Learning Studio: Creating and using API w/Postman and C#
Dataset: Next video: ..
Predict YouTube Subscribers count with Azure Machine Learning Studio (Part 2)
I got this wrong, you can see when Social blade predicted the 10K subs here: ...
Shortening the time from analysis to deployment with ML-as-a-Service
This presentation shows one architecture design using RESTful resources, document oriented databases and pre-trained pipelines to achieve real-time ...
Datacratic's Machine Learning Database (MLDB) #MP53
Montreal, April 13, 2015 - Nicolas Kruchten is giving the first ever public demo of Datacratic's Machine Learning Database (MLDB): a product which is distributed ...
Alex Housley - Seldon, an open source machine learning platform
Alex Housley speaking at Playfair Capital's Machine Intelligence 2015 event in London. Alex is the founder and CEO at Seldon, a predictive AI platform released ...