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1. Autoencoders: An Ultimate Guide for Data Scientists

   A detailed overview of the architecture, Python implementation, and future of autoencoders, focusing on their use in feature extraction and dimension reduction in unsupervised learning.

   2024-10-18 Tags: autoencoders, machine learning, data science, neural networks, feature extraction, dimension reduction, unsupervised learning, encoder, decoder by klotz
2. Deep Learning for Anomaly Detection: A Comprehensive Survey | by Guansong Pang | Jul, 2020 | Towards Data Science

   2020-07-10 Tags: deep learning, anomaly detection, data science, production engineering by klotz
3. 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
4. Deep Learning Primer with Keras - Towards Data Science

   2020-04-21 Tags: keras, deep learning, tutorial, primer, medium, data science by klotz
5. “Deploy TensorFlow models with Istio on Kubernetes”

   2019-05-20 Tags: istio, kubernetes, tensorflow, data science, production engineering by klotz
6. TPOT in Python (article) - DataCamp

   2018-09-21 Tags: data science, deep learning, python, automation by klotz
7. Recent Advances for a Better Understanding of Deep Learning − Part I

   2018-08-19 Tags: sgd, data science, deep learning by klotz
8. A “weird” introduction to Deep Learning – Towards Data Science

   2018-05-15 Tags: deep learning, data science, introduction by klotz
9. Deep Learning With Apache Spark — Part 2 – Towards Data Science

   2018-06-29 Tags: deep learning, spark, apache, data science, transfer learning by klotz
10. Deep Learning With Apache Spark — Part 1 – Towards Data Science

    2018-05-15 Tags: spark, deep learning, data science by klotz

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