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Machine Learning for All: the Democratizing of a Technology

Our friends over at H2O.ai have produced a short new eBook “Machine learning for all: the democratizing of a technology” which covers machine learning features and automatic AI solutions, and how organizations can benefit from using them.

Machine learning for all: the democratizing of a technology

In this short eBook, you’ll discover automated machine learning using H2O.ai. H2O.ai has dedicated itself to democratizing all aspects of AI, including machine
learning. H2O Driverless AI is a machine learning solution that automates AI for nontechnical
users. So-called “AutoML” solutions like H2O Driverless AI are rising in popularity for enterprises across a wide range of industries. With it, users can build robust, fast, and accurate machine learning solutions. It also includes visualization and interpretability features that explain the data modeling results in plain English, fostering further adoption and trust in AI.

Qeexo AutoML Demo: Automating Machine Learning for Embedded Devices

Qeexo spun out of Carnegie Mellon University, has for a long time developed multi-touch technology for handset manufacturers which does ML on the device level. It has applied this approach to a new AutoML technology that allows companies to embed ML into hardware and conduct learning on sensor data.

AutoML in Practice

The compelling Oct. 15, 2019 presentation below is on behalf of one of my favorite Meetup groups: LA Machine Learning. The talk, “AutoML in Practice,” is by Danny D. Leybzon, a Solutions Architect at Qubole, a cloud-native big data platform. Automated Machine Learning (AutoML) is one of the hottest topics in data science today, but what does it mean? This presentation gives a broad overview of AutoML, ranging from simple hyperparameter optimization all the way to full pipeline automation.

DataRobot Enhances Enterprise AI Platform, Further Automating the Path from Data to Value

DataRobot, a leader in enterprise AI, unveiled new features to its Enterprise AI platform designed to automate the entire end-to-end data science process, introducing an AI Catalog and next-generation automated feature engineering.

Splice Machine Launches ML Manager Beta Program to Meet the Growing Demand for Operational AI

Splice Machine, the operational artificial intelligence (AI) data platform, announced the launch of a beta program for ML Manager, a native data science and machine learning platform. Operating on top of Splice Machine’s data platform, ML Manager empowers data science teams to maximize the performance of their machine learning models by removing the latency associated with building complex data pipelines, performing cumbersome transformations and training models on updated data.