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.

The best open source software of 2019

Visual Studio Code vs. Sublime Text: How to choose

Visual Studio Code vs. Sublime Text: How to choose

Do you want a maximum-flexible editor with just the right IDE features, or the fastest and most efficient editor you can find? You can have both

Visual Studio Code vs. Visual Studio: How to choose

Visual Studio Code vs. Visual Studio: How to choose

Deciding between Visual Studio Code and Visual Studio may depend as much on your work style as on the language support and features you need. Here’s how to decide

Snowflake review: A data warehouse made better in the cloud

Snowflake review: A data warehouse made better in the cloud

A fast, no-fuss data warehouse as a service, Snowflake scales dynamically to give you the performance you need exactly when you need it

Semi-supervised learning explained

Semi-supervised learning explained

Using a machine learning model’s own predictions on unlabeled data to add to the labeled data set sometimes improves accuracy, but not always

Deep learning frameworks: PyTorch vs. TensorFlow

Deep learning frameworks: PyTorch vs. TensorFlow

If you actually need a deep learning model, PyTorch and TensorFlow are both good choices

Automated machine learning or AutoML explained

Automated machine learning or AutoML explained

AutoML frameworks and services eliminate the need for skilled data scientists to build machine learning and deep learning models

Couchbase review: A smart NoSQL database

Couchbase review: A smart NoSQL database

Flexible, distributed document database offers an easy query language, mobile synch, independently scalable services, and strong consistency within a cluster

The best NoSQL databases

The best NoSQL databases

Highly flexible and hugely scalable, NoSQL databases offer a range of data models and consistency options to suit your application

Unsupervised learning explained

Unsupervised learning explained

Unsupervised learning is used mainly to discover patterns and detect outliers in data today, but could lead to general-purpose AI tomorrow

The best graph databases

The best graph databases

These stellar databases combine horizontal scalability with highly efficient engines for storing and analyzing connected data

The best machine learning and deep learning libraries

The best machine learning and deep learning libraries

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

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