Artificial intelligence and machine learning are taking us head-first into an increasingly digital world. AI/ML enables organizations to streamline processes, enabling them to move faster without relinquishing quality. However, successful algorithms require thorough training and testing data to produce reliable results and avoid bias.
The training and testing data will create the foundation for a successful AI algorithm and a reliable engine. This ebook reviews common challenges organizations face when training and testing your AI algorithm, and provides tips on how to avoid or manage them.