Machine Learning

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

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Time series analysis with KNIME and Spark

Train and evaluate a simple time series model using a random forest of regression trees and the NYC Yellow taxi data set

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Supervised learning explained

Supervised learning turns labeled training data into a tuned predictive model

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What is TensorFlow? The machine learning library explained

TensorFlow is a Python-friendly open source library for numerical computation that makes machine learning faster and easier

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What’s new in TensorFlow 2.0

Google’s TensorFlow 2.0 is now available in beta, with a focus on improving performance, ease, compatibility, and continuity

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Tips For building an effective AI ecosystem

As AI becomes more prevalent, organizations must make it easier for developers to unlock AI’s potential

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Reinforcement learning explained

Reinforcement learning uses rewards and penalties to teach computers how to play games and robots how to perform tasks independently

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Natural language processing explained

Deep learning has improved machine translation and other NLP tasks by leaps and bounds

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Deep learning explained

Deep neural networks can solve the most challenging problems, but require abundant computing power and massive amounts of data

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Machine learning explained

Able to learn from data, machine learning algorithms can solve problems that are too complex to solve with conventional programming

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Machine learning algorithms explained

Machine learning uses algorithms to turn a data set into a model. Which algorithm works best depends on the problem

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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

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Microsoft smartens up Azure Cognitive Services

Decision services based on reinforcement learning and other machine learning enhancements are coming to the Azure cloud

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5 takeaways on scaling machine learning

Twitter and Facebook can teach us a lot about effective artificial intelligence

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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

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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

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Machine learning and data visualization for clickstream analysis

How to use the KNIME Analytics Platform to understand the behavior of website visitors

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TensorFlow unveils MLIR for faster machine learning

Sublanguage project promises faster compilation and easier hardware optimization for high-performance machine learning models

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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

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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

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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

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