- Hello, if you could help me with this issue I'm having, it is really important. BInary classification not working. https://datascience.stackexchange.com/questions/124519/neural-network-for-binary-classification-not-working 2 comments learnmachinelearning
- A data visualization library to visualise polar coordinates. https://datascience.stackexchange.com/questions/109985/plot-polar-coordinates-2d-on-a-poinc%c3%a1re-sphere-surface-as-either-heat-map-or-s 4 comments learnmachinelearning
- How to structure a multi-target prediction problem when the targets depend on eachother https://datascience.stackexchange.com/questions/60131/how-to-structure-a-multi-target-prediction-problem-when-the-targets-depend-on-ea 6 comments learnmachinelearning
- Calling model.fit() with batch results in much worse results than calling it for each item? https://datascience.stackexchange.com/q/56117/76484 8 comments reinforcementlearning
- Why use Variational Autoencoders VAE insted of Autoencoders AE in Anomaly Detection? https://datascience.stackexchange.com/questions/48533/why-use-variational-autoencoders-vae-insted-of-autoencoders-ae-in-anomaly-detect 15 comments learnmachinelearning
- Why is Manhattan distance superior for high dimensional data? https://datascience.stackexchange.com/questions/20075/when-would-one-use-manhattan-distance-as-opposite-to-euclidean-distance 9 comments datascience
- Unstable MLP's accuracy on train dataset https://datascience.stackexchange.com/questions/19763/unstable-mlps-accuracy-on-train-dataset 3 comments learnmachinelearning
- Data Science conferences? http://datascience.stackexchange.com/q/8941/11097 3 comments datascience
- Data Science Podcasts? http://datascience.stackexchange.com/questions/9000/data-science-podcasts 6 comments datascience
- Data Science Podcasts? http://datascience.stackexchange.com/questions/9000/data-science-podcasts 14 comments statistics
- Data Science conferences? http://datascience.stackexchange.com/q/8941/11097 4 comments datascience
Linking pages
- GitHub - dive-into-machine-learning/dive-into-machine-learning: Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.) https://github.com/hangtwenty/dive-into-machine-learning 39 comments
- Recommendations for Engineers - Pawel Cislo https://pawelcislo.com/recommendations/ 0 comments
- Semantic Segmentation in the era of Neural Networks | AI Summer https://theaisummer.com/Semantic_Segmentation/ 0 comments
- 101+ Resources to Learn Data Science - code(love) http://code-love.com/2017/05/27/learn-data-science/ 0 comments
- GitHub - jonathan-bower/DataScienceResources: Open Source Data Science Resources. https://github.com/jonathan-bower/DataScienceResources 0 comments
- How we built an NLP-flavored Data Science curriculum and hackathon course | by Catarina Cruz Silva | Medium https://medium.com/unbabel/how-we-built-a-nlp-flavored-data-science-curriculum-and-hackathon-course-66fa47013ee5 0 comments