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 for software development
InfoWorld’s 2018 Best of Open Source Software Award winners in software development
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
InfoWorld’s 2018 Best of Open Source Software Award winners in databases and data analytics
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
MongoDB 4.0 beefs up with global cloud clusters, multi-document ACID transactions, and HIPAA compliance
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 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 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
Want the convenience of a dynamic language and the performance of a compiled statically typed language? Try Julia
Introducing BigQuery ML for building predictive models with SQL
Google’s beta extension performs linear regression forecasting and binary logistic classification in the BigQuery data warehouse
PyTorch review: A deep learning framework built for speed
PyTorch 1.0 shines for rapid prototyping with dynamic neural networks, auto-differentiation, deep Python integration, and strong support for GPUs
