Deep Learning

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Supervised learning explained

Supervised learning turns labeled training data into a tuned predictive model

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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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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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Review: Google Cloud AutoML is truly automated machine learning

Google’s AutoML lets you create customized deep learning models without any knowledge of data science or programming

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AI, machine learning, and deep learning: Everything you need to know

All about the business benefits, technology frameworks and models, and application of artificial intelligence for better business outcomes

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How to use deep learning to write Shakespeare

LSTM recurrent neural networks can be trained to generate free text. Let’s see how well AI can imitate the Bard

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Review: Azure Machine Learning challenges Amazon SageMaker

Microsoft Azure’s plush, Python-based environment covers the full machine learning and deep learning development cycle

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What is Keras? The deep neural network API explained

Easy to use and widely supported, Keras makes deep learning about as simple as deep learning can be

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Guided automation for machine learning

Implementing a web-based blueprint for semi-automated machine learning, using the open source Knime Analytics Platform

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How to automate machine learning

KNIME’s blueprint for guided automation allows business analysts to train, test, and tune machine learning models via web browser

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AWS piles on the machine learning services

Hosted TensorFlow, pay-as-you-go inference serving, reinforcement learning, and automatic data labeling come to the Amazon cloud

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Reinforcement learning comes into AI’s mainstream

Developers now have the tools to get started with this revolutionary technology that is poised to become mainstream

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Review: MXNet deep learning shines with Gluon

With the addition of the high-level Gluon API, Apache MXNet rivals TensorFlow and PyTorch for developing deep learning models

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How to use Knime for data science

Free, open-source Knime allows you to visually assemble data processing “nodes” into machine learning, deep learning, and other analytics workflows

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