Machine Learning
Machine Learning | News, how-tos, features, reviews, and videos
Tips For building an effective AI ecosystem
As AI becomes more prevalent, organizations must make it easier for developers to unlock AI’s potential
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
Deep learning has improved machine translation and other NLP tasks by leaps and bounds
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
Able to learn from data, machine learning algorithms can solve problems that are too complex to solve with conventional programming
video
Financial services embraces AI | TECH(talk)
With artificial intelligence (and machine learning) showing up in numerous industries, it's no surprise they're now gaining traction in financial services. Coming soon to a banking chatbot near you....
Machine learning algorithms explained
Machine learning uses algorithms to turn a data set into a model. Which algorithm works best depends on the problem
Review: UiPath aces robotic process automation
UiPath Enterprise RPA Platform is a remarkably complete toolkit for process automation that is also remarkably easy to use
Microsoft smartens up Azure Cognitive Services
Decision services based on reinforcement learning and other machine learning enhancements are coming to the Azure cloud
5 takeaways on scaling machine learning
Twitter and Facebook can teach us a lot about effective artificial intelligence
Review: Kinetica analyzes billions of rows in real time
GPU database is not only hugely scalable, but integrates graph analysis, location intelligence, and machine learning with standard SQL
Delta Lake gives Apache Spark data sets new powers
A new open source project from Databricks adds ACID transactions, versioning, and schema enforcement to Spark data sources that don't have them
Machine learning and data visualization for clickstream analysis
How to use the KNIME Analytics Platform to understand the behavior of website visitors
TensorFlow unveils MLIR for faster machine learning
Sublanguage project promises faster compilation and easier hardware optimization for high-performance machine learning models
AI systems are biased, and cloud availability makes it worse
IT will have to be on the lookout for hidden biases and take action to minimize the harm
How to model time-series anomaly detection for IoT
Machines fail. By creating a time-series prediction model from historical sensor data, you can know when that failure is coming
How to use anomaly detection in Azure machine learning
Machine learning is about more than vision and speech, as Azure’s latest machine learning service shows
AI cloudops is coming, whether you like it or not
New cloud monitoring and cloud management tools are becoming self-learning, with both pros and cons today
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