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 machine learning and deep learning libraries

The best distributed NoSQL databases

The best distributed NoSQL databases

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

The best distributed relational databases

The best distributed relational databases

These SQL relational databases offer both horizontal scalability and support for ACID transactions—some on a global scale

TensorFlow 2 review: Easier machine learning

TensorFlow 2 review: Easier machine learning

Now more platform than toolkit, TensorFlow has made strides in everything from ease of use to distributed training and deployment

Supervised learning explained

Supervised learning explained

Supervised learning turns labeled training data into a tuned predictive model

10 new tricks your old database can do

10 new tricks your old database can do

You might be surprised by the powerful “NoSQL” features lurking in your old Oracle, SQL Server, MySQL, or PostgreSQL database

Reinforcement learning explained

Reinforcement learning explained

Reinforcement learning uses rewards and penalties to teach computers how to play games and robots how to perform tasks independently

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

Load More