Serdar Yegulalp

Senior Writer

Serdar Yegulalp is a senior writer at InfoWorld, covering software development and operations tools, machine learning, containerization, and reviews of products in those categories. Before joining InfoWorld, Serdar wrote for the original Windows Magazine, InformationWeek, the briefly resurrected Byte, and a slew of other publications. When he's not covering IT, he's writing SF and fantasy published under his own personal imprint, Genji Press.

13 frameworks for mastering machine learning

3 open source projects that make Kubernetes easier

3 open source projects that make Kubernetes easier

From cluster state management to snapshots and DR, companion tools from Heptio, Kubed, and Kubicorn aim to fill the gaps in Kubernetes

Machine learning comes to your browser via JavaScript

Machine learning comes to your browser via JavaScript

A new JavaScript library runs Google's TensorFlow right in the browser with GPU acceleration—a novel way to bring machine learning to the masses

Apache Spark 2.2 gets streaming, R language boosts

Apache Spark 2.2 gets streaming, R language boosts

The latest additions to Apache's all-in-one in-memory processing framework simplify stream processing and flesh out support for the R language

How to get started with Kubernetes

How to get started with Kubernetes

From Hello Minikube to Kubernetes Anywhere to example microservices apps, the options for learning Google’s container orchestration tool abound

What's new in Kubernetes 1.7

What's new in Kubernetes 1.7

The container orchestration standard adds local storage, encryption for secrets, and under-the-hood extensibility

Best of NoSQL: 7 document databases compared

Best of NoSQL: 7 document databases compared

Which document-oriented database is right for your app? Follow this guide to the most developer-friendly NoSQL databases

Easier, faster: The next steps for deep learning

Easier, faster: The next steps for deep learning

Rapidly advancing software frameworks, dedicated silicon, Spark integrations, and higher level APIs aim to put deep learning within reach

What's the Go language really good for?

What's the Go language really good for?

Learn the strengths, weaknesses, use cases, and future directions of Google's hit programming language

Data in, intelligence out: Machine learning pipelines demystified

Data in, intelligence out: Machine learning pipelines demystified

Data plus algorithms equals machine learning, but how does that all unfold? Let’s lift the lid on the way those pieces fit together, beginning to end

MIT-Stanford project uses LLVM to break big data bottlenecks

MIT-Stanford project uses LLVM to break big data bottlenecks

Written in Rust, Weld can provide orders-of-magnitude speedups to Spark and TensorFlow

Hidden gems: 14 Python libraries too good to overlook

Hidden gems: 14 Python libraries too good to overlook

Parsing, image processing, web crawling, GUI creation -- these little-known Python libraries have you covered

Load More