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Tags: machine learning*

"Machine learning is a subset of artificial intelligence in the field of computer science that often uses statistical techniques to give computers the ability to "learn" (i.e., progressively improve performance on a specific task) with data, without being explicitly programmed.

https://en.wikipedia.org/wiki/Machine_learning

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1. Stock predictions with Transformer and Time Embeddings | Towards Data Science

   2020-07-07 Tags: time-series, embedding, stock, prediction, transformer, deep learning, data science by klotz
2. More on Anomaly Detection with Neural Networks and Autoencoders: Measuring Sequence Abnormality

   2020-07-04 Tags: anomaly detection, neural network, autoencoder by klotz
3. Anything2Vec: Mapping Reddit into Vector Spaces

   2020-06-30 Tags: word embedding, embedding, reddit by klotz
4. 11 Essential Neural Network Architectures, Visualized & Explained

   2020-06-29 Tags: neural network, architecture, deep learning by klotz
5. Sarcasm Classification (Using FastText) - Towards Data Science

   2020-06-29 Tags: fast text, machine learning, deep learning, classification, nlp, text, sarcasm, tutorial by klotz
6. Building A Mental Model for Backpropagation - Towards Data Science

   2020-06-28 Tags: backpropagation, model, python, deep learning by klotz
7. Making your Ubuntu deep learning ready - Towards Data Science

   2020-06-26 Tags: ubuntu, deep learning, kuda, nvidia, linux by klotz
8. Why, How and When to apply Feature Selection - Towards Data Science

   2020-06-26 Tags: feature selection, feature engineering, machine learning by klotz
9. Shortest Path Distance Approximation Using Deep Learning: Node2Vec

   2020-06-25 Tags: node2vec, graph embedd6, embedding, deep learning, algorithms by klotz
10. Machine Learning for Anomaly Detection on VM and Host Performance Metrics

    2020-06-25 Tags: machine learning, production engineering, anomaly detection, metrics, modified dbscan, algorithms, clustering, splunk, mltk, datadog by klotz

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