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--- en:iot-reloaded:hints_for_further_readings_on_ai [2024/11/18 15:14] – agrisnik
+++ en:iot-reloaded:hints_for_further_readings_on_ai [2024/12/03 18:07] (current) – ktokarz
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 ====== Hints for Further Readings on AI ======
-{{:en:iot-open:czapka_p.png?50|General audience classification icon}}{{:en:iot-open:czapka_b.png?50|General audience classification icon}}{{:en:iot-open:czapka_e.png?50|General audience classification icon}}\\
 This chapter has covered some of the most widely used data analysis methods applicable in sensor data analysis, which might be typical for IoT systems. However, it is only the surface of the exciting world of data analytics and AI. The authors suggest the following online resources besides the well-known online learning platforms to dive into this world.
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 === Useful Python libraries ===
-  * **SciKit learn** library for general data analysis and fundamental AI algorithms [[https://scikit-learn.org/stable/|SciKit learn]]: a very useful Python library with complemented detailed documentation and example code snippets;
+  * **SciKit learn** library for general data analysis and fundamental AI algorithms ((https://scikit-learn.org/stable/|SciKit learn)): a handy Python library with complemented detailed documentation and example code snippets.
-  * Time series library **TSlearn** [[https://tslearn.readthedocs.io/en/stable/index.html|TSlearn]]: provides very insightful comments and documentation on different algorithms and approaches widely used in time series analysis;
+  * Time series library **TSlearn** ((https://tslearn.readthedocs.io/en/stable/index.html|TSlearn)): provides very insightful comments and documentation on different algorithms and approaches widely used in time series analysis.
-  * **Pytorch** [[https://pytorch.org/|Pytorch]] and **Keras** [[https://keras.io/|Keras]]: community pages for those who seek for deep learning resources and more complex models in comparison to those what was covered in this chapter;
+  * **Pytorch** ((https://pytorch.org/|Pytorch)) and **Keras** ((https://keras.io/|Keras)): community pages for those who seek deep learning resources and more complex models in comparison to those that were covered in this chapter.
-  * **Scipy** [[https://scipy.org/|Scipy]]: a very rich library for statistical models in python.
+  * **Scipy** ((https://scipy.org/|Scipy)): a vibrant library for statistical models in Python.
+=== Useful tools ===
+  * **Orange** ((https://orangedatamining.com/|Orange)): visual programming tool for data analysis and visualisation.
+  * **Weka** ((https://waikato.github.io/weka-wiki/documentation/|Weka)): a ready-to-use data analysis and visualisation tool.

en/iot-reloaded/hints_for_further_readings_on_ai.1731942890.txt.gz · Last modified: 2024/11/18 15:14 by agrisnik