Docker interpreter in IDE learniotai.wordpress.com/2021/05/01/doc…

Anaconda Python environment learniotai.wordpress.com/2021/05/02/ana…

Collect sensor data from common smartphones for training IoT AI models. learniotai.wordpress.com/2021/11/20/col…

Normalize measurements to make equal contributions to AI model training. learniotai.wordpress.com/2021/11/24/nor…

Encoding labels for ground truth AI model training data. learniotai.wordpress.com/2021/11/30/gro…

Windowing time series data for training AI models. learniotai.wordpress.com/2021/12/04/mul…

Clean artifacts of time series data before using to train AI models. learniotai.wordpress.com/2021/12/05/che…

Preprocessing time series data into AI model training data. learniotai.wordpress.com/2021/12/08/pre…

Visualizing AI model training and testing datasets after splitting can spot problems. learniotai.wordpress.com/2021/12/11/spl…

Use visualizations of confusion matrices and dataset barplots to try different AI model architectures and look for problems in data. learniotai.wordpress.com/2021/12/17/tra…

Integrating AI models into business workflows can help increase the ROI of AI investment. Wrapping AI models in easily callable function objects is a step in this direction. learniotai.wordpress.com/2021/12/19/wra…