Martin Heller

Contributing Editor

Martin Heller is a contributing editor and reviewer for InfoWorld. Formerly a web and Windows programming consultant, he developed databases, software, and websites from his office in Andover, Massachusetts, from 1986 to 2010. More recently, he has served as VP of technology and education at Alpha Software and chairman and CEO at Tubifi. Disclosure: He also writes for Hewlett-Packard's TechBeacon marketing website.

Reinforcement learning explained

Natural language processing explained

Natural language processing explained

Deep learning has improved machine translation and other NLP tasks by leaps and bounds

Deep learning explained

Deep learning explained

Deep neural networks can solve the most challenging problems, but require abundant computing power and massive amounts of data

Machine learning explained

Machine learning explained

Able to learn from data, machine learning algorithms can solve problems that are too complex to solve with conventional programming

Amazon Neptune review: A scalable graph database for OLTP

Amazon Neptune review: A scalable graph database for OLTP

Amazon’s graph database service offers ACID properties, immediate consistency, and auto-scaling storage for billions of relationships

Machine learning algorithms explained

Machine learning algorithms explained

Machine learning uses algorithms to turn a data set into a model. Which algorithm works best depends on the problem

Review: Kinetica analyzes billions of rows in real time

Review: Kinetica analyzes billions of rows in real time

GPU database is not only hugely scalable, but integrates graph analysis, location intelligence, and machine learning with standard SQL

AnzoGraph: A graph database for deep analytics

AnzoGraph: A graph database for deep analytics

AnzoGraph is a fast, horizontally scalable, OLAP graph database that brings a wealth of analytics capabilities to large graphs

Review: OmniSci GPU database lifts huge data sets

Review: OmniSci GPU database lifts huge data sets

GPU acceleration of database, rendering, and visualization enables interactive exploration of data sets with billions of rows

The best machine learning and deep learning libraries

The best machine learning and deep learning libraries

Why TensorFlow, Spark MLlib, Scikit-learn, PyTorch, MXNet, and Keras shine for building and training machine learning and deep learning models

Review: Google Cloud AutoML is truly automated machine learning

Review: Google Cloud AutoML is truly automated machine learning

Google’s AutoML lets you create customized deep learning models without any knowledge of data science or programming

Cloud IDE review: AWS Cloud9 vs. Eclipse Che vs. Eclipse Theia

Cloud IDE review: AWS Cloud9 vs. Eclipse Che vs. Eclipse Theia

You don’t have to develop locally to get full IDE support. We compare three great tools that let you edit and debug code from a browser

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