AI News, Machine Learning as a Service: making sentiment predictions in realtime with ZMQ and NLTK

Machine Learning as a Service: making sentiment predictions in realtime with ZMQ and NLTK

The purpose of this talk is not to dig into the mathematics behind machine learning (as I do not have this experience), but it’s more about showing how easy it can be to build a ML SaaS by using some of the amazing libraries such as NLTK, ZMQ and MrJob that have helped me make throughout the development.

Using Machine Learning and Data Science to Understand Human Emotions

Speaker: Michelle Casbon, Director of Data Science at Qordoba, at Spark Summit San Francisco, 2017. Qordoba's Head of Data Science Michelle Casbon ...

The incredible inventions of intuitive AI | Maurice Conti

What do you get when you give a design tool a digital nervous system? Computers that improve our ability to think and imagine, and robotic systems that come ...

Introducing ML.NET : Build 2018

ML.NET is aimed at providing a first class experience for Machine Learning in .NET. Using ML.NET, .NET developers can develop and infuse custom AI into ...

Stephen Hoover - Scaling Scikit Learn

Description What do you do if you have a lot of models to fit, don't want to spend all day with your laptop as a space heater, and have access to AWS? Take it to ...

HOW TO MAKE A CHATBOT - WORKING WITH DATA

Learn how to make your own chatbot through this amazing series! Download supplemental materials here ...

Artificial Intelligence and Machine Learning on Cisco UCS

Explore Cisco AI/ML Computing Solutions: Visit TechWiseTV: Explore the ease of managing artificial intelligence .

How to Start an AI Startup

How are you supposed to get in on the AI hype? Deep learning has enabled a whole new breed of applications, and there are still so many different ...

Stephen Whitworth - Building robust machine learning systems

Filmed at PyData London 2017 Description With the growth of AI, ever growing parts of products we build are changing from the deterministic to the probabilistic.

#HITB2018AMS D1T2 - Applying Machine Learning to User Behavior Anomaly Analysis - Eugene Neyolov

This talk is based on results of R&D project aimed to build a solution for user behavior security analytics. I will describe various methods and ideas for anomaly ...

How mobile.de brings Data Science to Production...- Florian Wilhelm, Dr Markus Schüler

PyData Berlin 2018 As Germany's biggest online car marketplace, mobile.de provides a personalized web experience. Our Data Team leverages the ...