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Linking pages
- How to Get a Job in Deep Learning - Deepgram Blog ⚡️ http://blog.deepgram.com/how-to-get-a-job-in-deep-learning/ 86 comments
- Amazon Machine Learning – Make Data-Driven Decisions at Scale | AWS News Blog https://aws.amazon.com/blogs/aws/amazon-machine-learning-make-data-driven-decisions-at-scale/ 51 comments
- Linear regression - Eli Bendersky's website http://eli.thegreenplace.net/2016/linear-regression/ 37 comments
- GitHub - awesomedata/awesome-public-datasets: A topic-centric list of HQ open datasets. https://github.com/caesar0301/awesome-public-datasets 34 comments
- GitHub - fkkarakurt/Nerve: This is a basic implementation of a neural network for use in C and C++ programs. It is intended for use in applications that just happen to need a simple neural network and do not want to use needlessly complex neural network libraries. https://github.com/fkkarakurt/Nerve 31 comments
- GitHub - winkjs/wink-nlp: Developer friendly Natural Language Processing ✨ https://github.com/winkjs/wink-nlp 23 comments
- GitHub - picnicml/doddle-model: doddle-model: machine learning in Scala. https://github.com/picnicml/doddle-model 4 comments
- Your First Deep Learning Project in Python with Keras Step-by-Step - MachineLearningMastery.com http://machinelearningmastery.com/tutorial-first-neural-network-python-keras/ 4 comments
- GitHub - Stream-AD/MemStream: MemStream: Memory-Based Streaming Anomaly Detection https://github.com/Stream-AD/MemStream 3 comments
- GitHub - awesomedata/awesome-public-datasets: A topic-centric list of HQ open datasets. https://github.com/awesomedata/awesome-public-datasets 2 comments
- GitHub - vaseline555/Federated-Learning-PyTorch: PyTorch implementation of a federated learning https://github.com/vaseline555/Federated-Learning-PyTorch 2 comments
- SAITS: : Self-attention-based imputation for time series: Expert Systems with Applications: An International Journal: Vol 219, No C https://dl.acm.org/doi/abs/10.1016/j.eswa.2023.119619 2 comments
- New – Amazon SageMaker Clarify Detects Bias and Increases the Transparency of Machine Learning Models | AWS News Blog https://aws.amazon.com/blogs/aws/new-amazon-sagemaker-clarify-detects-bias-and-increases-the-transparency-of-machine-learning-models/ 1 comment
- Qix/dl.md at master · ty4z2008/Qix · GitHub https://github.com/ty4z2008/Qix/blob/master/dl.md 1 comment
- Ultimate Guide: 200+ Free Datasets for Data Science, Machine learning, AI, NLP - Big Data Analytics News https://bigdataanalyticsnews.com/datasets/ 1 comment
- Review of deep learning: concepts, CNN architectures, challenges, applications, future directions | Journal of Big Data | Full Text https://journalofbigdata.springeropen.com/articles/10.1186/s40537-021-00444-8 1 comment
- How to Learn Machine Learning Online Free in 2022? https://www.mltut.com/how-to-learn-machine-learning-online-free/ 0 comments
- Comparison of machine learning methods in email spam detection https://www.matchilling.com/comparison-of-machine-learning-methods-in-email-spam-detection/ 0 comments
- Can increasing depth serve to accelerate optimization? – Off the convex path http://www.offconvex.org/2018/03/02/acceleration-overparameterization/ 0 comments
- Learn Logistic Regression (and beyond) – Win Vector LLC http://www.win-vector.com/blog/2010/11/learn-a-powerful-machine-learning-tool-logistic-regression-and-beyond/ 0 comments
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