Deep Learning
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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
What is natural language processing? AI for speech and text
Deep learning has improved machine translation and other natural language processing tasks by leaps and bounds
What is deep learning? Algorithms that mimic the human brain
Deep neural networks can solve the most challenging problems, but require abundant computing power and massive amounts of data
What is machine learning? Intelligence derived from data
Machine learning algorithms learn from data to 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
Explainable AI: Peering inside the deep learning black box
Why we must closely examine how deep neural networks make decisions, and how deep neural networks can help
7 cloud services to ease machine learning
Build, train, tune, and deploy machine learning and deep learning models in these end-to-end machine learning clouds
PyTorch 1.0 accelerates Python machine learning with native code
The PyTorch 1.0 release candidate introduces Torch Script, a Python subset that can be JIT-compiled into C++ or other high-speed code
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