Artificial Intelligence
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3 ways to kick off a devops program
Timing is everything, but so is knowing how CI/CD, IaC, and AIops can impact your business
Will Google's AI make you artificially stupid?
The biggest threat from AI isn't software that steals your job. It's software that steals your mind.
Why SaaS-based AI training will be a game changer
As machine learning engines multiply, we see the benefits of having them train each other, versus using limited training data we may or may not have
6 best programming languages for AI development
Which programming language should you pick for your machine learning or deep learning project? These are your best options
Handicapping the AI modeling horse race
AI has become a core focus for application developers everywhere. It’s as hot in the consumer space as it is in business, industry, research, and government
video
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...
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
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
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
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.
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
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
Deep learning frameworks: PyTorch vs. TensorFlow
If you actually need a deep learning model, PyTorch and TensorFlow are both good choices
video
AI and your smartphone: How AI is transforming mobile apps
Computerworld’s Ken Mingis and Michael Simon from PCWorld and Macworld talk about how more mobile apps use artificial intelligence and how it improves features.
Get started with AI using ML.Net and Model Builder
Microsoft’s .Net machine learning tooling makes it easy to add AI to your code
5 machine learning tools to ease software development
AI-driven development tools that provide code auto-completion, code vulnerability detection, and even cutting-edge code generation
The moral side of cloud-based data science
Armed with big data, machine learning, predictive analytics, and unlimited data access, how do we limit the potential for harm?
The best machine learning and deep learning libraries
TensorFlow, Spark MLlib, Scikit-learn, PyTorch, MXNet, and Keras shine for building and training machine learning and deep learning models
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