Deep Learning
Deep Learning | News, how-tos, features, reviews, and videos
Supervised learning explained
Supervised learning turns labeled training data into a tuned predictive model
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
Machine learning algorithms explained
Machine learning uses algorithms to turn a data set into a model. Which algorithm works best depends on the problem
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
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
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
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
Review: Azure Machine Learning challenges Amazon SageMaker
Microsoft Azure’s plush, Python-based environment covers the full machine learning and deep learning development cycle
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
Guided automation for machine learning
Implementing a web-based blueprint for semi-automated machine learning, using the open source Knime Analytics Platform
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
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
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
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
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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