Machine Learning

Machine Learning | News, how-tos, features, reviews, and videos

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Robotic + human hands touch via a futuristic virtual interface.

Google previews site for sharing machine learning experiments

TensorBoard.dev allows you to upload and share TensorBoards and visualize model graphs and metrics

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Google Cloud launches TensorFlow Enterprise

Google Cloud service combines the TensorFlow machine learning platform with enterprise support and managed services

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Qubole review: Self-service big data analytics

Cloud-native data platform puts Spark, Presto, Hive, and Airflow at your fingertips, while controlling your cloud spending

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Technology that scares us | TECH(talk)

Drones, self-driving vehicles and intrusive tech devices have our otherwise fearless hosts on edge. Watch as IDG TECH(talk) hosts Ken Mingis and Juliet Beauchamp, plus Macworld’s Michael Simon discuss why that tech scares them and...

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Google Dex language simplifies array math for machine learning

LLVM-powered experimental language for array processing aims for an important corner of the math library space

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What surgery taught me about the cloud

In the process of fixing my shoulder, I discovered some lessons for all enterprises regarding the effective integration of information

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A2ML project automates AutoML

Common Python API for cloud-based AutoML services would allow data scientists to train their data sets against multiple AutoML models

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The best open source software of 2019

InfoWorld recognizes the leading open source projects for software development, cloud computing, data analytics, and machine learning

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AI gets real (sort of) in the enterprise

Turns out AI isn’t magic pixie dust to sprinkle over legacy processes and legacy tech, but a fundamental rethinking of how to do business

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Swift for TensorFlow aims for high-performance machine learning

Future plans for the project that brings Swift to machine learning include C++ interoperability, improved automatic differentiation, and support for distributed training

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Artificial intelligence today: What’s hype and what’s real?

Two decades into the AI revolution, deep learning is becoming a standard part of the analytics toolkit. Here’s what it means

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Inside AI ebook: Artificial intelligence in the enterprise

AI is having a profound effect on enterprises. But where do you begin? A variety of tools and techniques can help you get started on your own implementation. Download our 17-page guide on real-world artificial intelligence.

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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

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How Qubole addresses Apache Spark challenges

The Qubole Data Platform brings streamlined configuration, auto-scaling, cost management, and performance optimizations to Spark-as-a-service

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IBM Trusted AI toolkits for Python combat AI bias

IBM has released Python toolkits for identifying and mitigating against bias in training data and machine learning models

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Deep learning frameworks: PyTorch vs. TensorFlow

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

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Machine learning operations don’t belong with cloudops

Giving systems enabled with machine learning to the cloud operations team to manage is not only a mistake, it’s dangerous

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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

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