Artificial Intelligence
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5 machine learning tools to ease software development
AI-driven development tools that provide code auto-completion, code vulnerability detection, and even cutting-edge code generation
The moral side of cloud-based data science
Armed with big data, machine learning, predictive analytics, and unlimited data access, how do we limit the potential for harm?
The best machine learning and deep learning libraries
TensorFlow, Spark MLlib, Scikit-learn, PyTorch, MXNet, and Keras shine for building and training machine learning and deep learning models
Ease into AI with Microsoft Flow
No-code connectors to Azure Cognitive Services make it easy to get started with artificial intelligence
Supervised learning explained
Supervised learning turns labeled training data into a tuned predictive model
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
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
5 takeaways on scaling machine learning
Twitter and Facebook can teach us a lot about effective artificial intelligence
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
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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