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.

Review: Azure Machine Learning challenges Amazon SageMaker

Review: Azure Machine Learning challenges Amazon SageMaker

Microsoft Azure’s plush, Python-based environment covers the full machine learning and deep learning development cycle

InfoWorld’s 2019 Technology of the Year Award winners

InfoWorld’s 2019 Technology of the Year Award winners

InfoWorld editors and reviewers recognize the year’s best software development, cloud computing, big data analytics, and machine learning tools

What is Keras? The deep neural network API explained

What is Keras? The deep neural network API explained

Easy to use and widely supported, Keras makes deep learning about as simple as deep learning can be

Review: The 6 best JavaScript IDEs

Review: The 6 best JavaScript IDEs

WebStorm, Visual Studio 2017, Visual Studio Code, NetBeans, Komodo, and Eclipse pull out the stops for JavaScript, Node.js, and friends

Review: The 10 best JavaScript editors

Review: The 10 best JavaScript editors

Sublime Text, Visual Studio Code, Brackets, and Atom rise to the top, but several others are also worth considering

Homebrew tutorial: How to use Homebrew for MacOS

Homebrew tutorial: How to use Homebrew for MacOS

The open source Homebrew package manager gives Mac users access to Unix command-line utilities that Apple left out — and a lot more

TigerGraph review: A graph database designed for deep analytics

TigerGraph review: A graph database designed for deep analytics

Highly parallelized and horizontally scalable, TigerGraph shines for use cases that require multi-hop analytic queries

SQL tutorial: Learn SQL on MariaDB

SQL tutorial: Learn SQL on MariaDB

Follow this step-by-step guide to install MariaDB, load data, connect to a database, and execute SQL queries including table joins

Review: MXNet deep learning shines with Gluon

Review: MXNet deep learning shines with Gluon

With the addition of the high-level Gluon API, Apache MXNet rivals TensorFlow and PyTorch for developing deep learning models

How to use Knime for data science

How to use Knime for data science

Free, open-source Knime allows you to visually assemble data processing “nodes” into machine learning, deep learning, and other analytics workflows

SQL tutorial: Learn SQL on PostgreSQL

SQL tutorial: Learn SQL on PostgreSQL

Follow this step-by-step guide to install PostgreSQL, load data, connect to a database, and execute SQL queries including table joins

The best open source software for software development

The best open source software for software development

InfoWorld’s 2018 Best of Open Source Software Award winners in software development

The best open source software for machine learning

The best open source software for machine learning

InfoWorld’s 2018 Best of Open Source Software Award winners in machine learning and deep learning

The best open source software for data storage and analytics

The best open source software for data storage and analytics

InfoWorld’s 2018 Best of Open Source Software Award winners in databases and data analytics

Review: Keras sails through deep learning

Review: Keras sails through deep learning

Keras sequential models make deep neural network modeling about as simple as it can be

Review: MongoDB takes on the world

Review: MongoDB takes on the world

MongoDB 4.0 beefs up with global cloud clusters, multi-document ACID transactions, and HIPAA compliance

What is CUDA? Parallel programming for GPUs

What is CUDA? Parallel programming for GPUs

You can accelerate deep learning and other compute-intensive apps by taking advantage of CUDA and the parallel processing power of GPUs

Go tutorial: Get started with Google Go

Go tutorial: Get started with Google Go

Go is a concise, simple, safe, and fast compiled language that trades features for speed. Isn’t it time you gave it a try?

DataStax review: Cassandra made faster and easier

DataStax review: Cassandra made faster and easier

DataStax Enterprise 6 offers greater throughput than Cassandra, lower latency, and useful extras that make it easier to run

Julia tutorial: Get started with the Julia language

Julia tutorial: Get started with the Julia language

Want the convenience of a dynamic language and the performance of a compiled statically typed language? Try Julia

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