AI News, AI startup launches Driverless AI, an automated machine learning platform

AI startup launches Driverless AI, an automated machine learning platform

The data science and machine learning software landscape is changing.

Today, announced a new release of its award-winning automated machine learning platform Driverless AI. The latest innovations in Driverless AI include accelerated automatic pipelines of feature engineering and machine learning to generate highly optimized, low-latency production-ready code for deployment on the edge.

This is ideal for enterprises that need to deploy low-latency scoring engines that can deliver submillisecond inferencing for real-time applications to a range of devices.

at over 5,000 organizations and our customers include the likes of Cisco, PayPal and Progressive. also partners with leading technology companies such as NVIDIA, IBM, AWS, Azure and Google and is proud of its growing customer base, which includes Capital One, Progressive Insurance, Comcast, Walgreens and Kaiser Permanente. recently launched Driverless AI that uses AI to do AI in order to provide an easier, faster and cheaper means of implementing data science. In February 2018, Gartner named as a Leader in the 2018 Magic Quadrant for Data Science and Machine Learning Platforms.

Driverless AI combines open source frameworks with the power of GPUs to create an extensible platform to build data science recipes that solve an entire class of problems for the industry.

Driverless AI automates some of the most difficult data science and machine learning workflows such as feature engineering, model validation, model tuning, model selection and model deployment.

Interpretable Machine Learning Using LIME Framework - Kasia Kulma (PhD), Data Scientist, Aviva

This presentation was filmed at the London Artificial Intelligence & Deep Learning Meetup: ...

What role does Deep Learning play in Self Driving Cars?

deep learning and self driving cars Autonomous Drive is here and .. - Ep. 14 (Deep Learning SIMPLIFIED) is a software platform that offers a host of machine learning algorithms, as well as one deep net model. It also provides sophisticated data munging, ...

How to Train Your Models in the Cloud

Let's discuss whether you should train your models locally or in the cloud. I'll go through several dedicated GPU options, then compare three cloud options; AWS ...

World Models Explained

A recent paper called 'world models' has gotten really popular in the machine learning community. They trained an AI to play a racing game by having it learn ...

The Best Way to Prepare a Dataset Easily

In this video, I go over the 3 steps you need to prepare a dataset to be fed into a machine learning model. (selecting the data, processing it, and transforming it).

Machine Learning Interpretability with Driverless AI

In this webinar, Andy Steinbach, Head of AI in Financial Services at NVIDIA, moderates a discussion with Patrick Hall, Senior Director of Product at on ...

AI, Machine Learning & Supply Chain // Manuel Davy, CEO of Vekia

Data Driven Paris: "Artificial Intelligence, Machine Learning and Supply Chain" by Manuel Davy, CEO of Vekia.

How to Simulate a Self-Driving Car

We're going to use Udacity's car simulator app as an environment to create our own autonomous agent! We'll use Keras to train a convolutional neural network ...

Your First ML App - Machine Learning for Hackers #1

This video will get you up and running with your first ML app in just 7 lines of Python. The app will be able to recognize Iris flowers. I created a Slack channel for ...