Predictive Analytics with TensorFlow 10.3: Improved Factorization Machines for Predictive Analytics

The video tutorial covers predictive analytics, focusing on factorization machines (FM) and their limitations in modeling feature interactions linearly. It introduces neural factorization machines (NFM) and attentional factorization machines (AFM) as advancements to address these limitations. The tutorial uses MovieLens data for practical implementation, detailing the conversion of categorical variables to binary features and the training of FM and NFM models. It concludes with an evaluation of the models, highlighting the improvements in prediction accuracy.

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