Przydatne linki:
→ Włodzisław Duch → playground.tensorflow.org
→ sztucznainteligencja.org.pl → scikit-learn.org → datacamp.com → towardsdatascience.com → datasciencecentral.com → kdnuggets.com → kaggle.com
→ how_neural_networks_work → python.astrotech.io/machine-learning/neural-network → how-to-build-your-own-neural-network-from-scratch → neural_networks_with_python_numpy → simple-neural-network-python
Narzędzia:
→ Python → scikit-learn Machine Learning in Python → Jupyter - with Python, JupyterLab, with Julia, with R or with C++ → Keras - deep learning library for Python → TensorFlow (Google) → Anaconda → Matlab → STATISTICA - StatSoft → ¶rodowisko R
Dane:
→ toolbox.google.com/datasetsearch → Otwarte zbiory danych na UC Irvine Machine Learning Repository → Kaggle data science projects → Otwarte zbiory danych na Data Mining Community's Top Resource → inne otwarte zbiory danych
mail: regulski@agh.edu.pl ©Krzysztof Regulski - Kraków 2019