Machine Learning
Machine Learning | News, how-tos, features, reviews, and videos
How to choose a data analytics platform
A brief guide to the analytics lifecycle, the expanding array of tools and technologies, and selecting the right data platform for your needs
Social engineering hacks weaken cybersecurity during the pandemic
Disinformation, malware, and an array of cyberattacks are rising as fast as case counts
Learn PyTorch: The best free online courses and tutorials
Look no further than these excellent free resources to master the development of deep learning models using PyTorch
The unwavering optimism of Tim O'Reilly
InfoWorld finds the Silicon Valley veteran in an at once optimistic, yet fiercely critical mood, as he talks about the opportunities artificial intelligence could afford society, while also addressing the risks of such technology if...
Kaggle: Where data scientists learn and compete
By hosting datasets, notebooks, and competitions, Kaggle helps data scientists discover how to build better machine learning models
How AI is reshaping healthcare during COVID-19 -- and beyond
Before the COVID-19 crisis, AI and machine learning technologies had just begun to move beyond the pilot stage at large healthcare companies -- but that's changing fast.
MLflow is now a Linux Foundation project
Databricks framework for managing machine learning projects will go to an open governance model
AI is now a C-suite imperative
Survey from Appen finds that C-level involvement in AI initiatives has jumped significantly
How PagerDuty helps customer service and IT teams improve responses
PagerDuty uses machine learning to anticipate issues and dramatically accelerate responses, so problems are addressed before they impact customers
When not to use AIops for cloudops
The excitement around AIops means that it’s sometimes being deployed for the wrong reasons. Here are a few situations where AIops is contraindicated
Redis 6: A high-speed database, cache, and message broker
Redis is a powerful blend of speed, resilience, scalability, and flexibility, and Redis Enterprise takes it even further
3 ways to apply agile to data science and dataops
Take an agile approach to dashboards, machine learning models, cleansing data sources, and data governance
Working with the Azure Kinect Developer Kit
Building applications on top of the Kinect depth sensor
Data science during COVID-19: Some reassembly required
Most likely, the assumptions behind your data science model or the patterns in your data did not survive the coronavirus pandemic. Here’s how to address the challenges of model drift
Quantum AI is still years from enterprise prime time
Quantum computing’s greatest potential for widespread adoption during this decade is in artificial intelligence
Julia vs. Python: Which is best for data science?
Python has turned into a data science and machine learning mainstay, while Julia was built from the ground up to do the job
Apache Spark 3.0 adds Nvidia GPU support for machine learning
The next major release of the in-memory data processing framework will support GPU-accelerated functions courtesy of Nvidia RAPIDS
How data analysis, AI, and IoT will shape the post-pandemic ‘new normal’
Only a common public health infrastructure of AI, cloud computing, streaming, and the Internet of Things can marshal our data against pandemics
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