Artificial Intelligence

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IBM Trusted AI toolkits for Python combat AI bias

IBM has released Python toolkits for identifying and mitigating against bias in training data and machine learning models

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PyTorch vs. TensorFlow: How to choose

If you actually need a deep learning model, PyTorch and TensorFlow are the two leading options

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Get started with AI using ML.Net and Model Builder

Microsoft’s .Net machine learning tooling makes it easy to add AI to your code

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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

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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?

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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

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Ease into AI with Microsoft Flow

No-code connectors to Azure Cognitive Services make it easy to get started with artificial intelligence

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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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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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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

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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

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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

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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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5 takeaways on scaling machine learning

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

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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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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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