- Deep learning: One of the machine learning technique that learns features directly from data.
- Why deep learning: When the amounth of data is increased, machine learning techniques are insufficient in terms of performance and deep learning gives better performance like accuracy.
- What is amounth of big: It is hard to answer but intuitively 1 million sample is enough to say "big amounth of data"
- Usage fields of deep learning: Speech recognition, image classification, natural language procession (nlp) or recommendation systems
- What is difference of deep learning from machine learning: Machine learning covers deep learning. Features are given machine learning manually. On the other hand, deep learning learns features directly from data.
The Audiobook Purchase Predictor is an AI project focused on forecasting whether customers will make additional audiobook purchases from a specific website. By analyzing historical customer data and utilizing a trained neural network model, the system achieves an impressive 81.70% accuracy in predicting customer repurchase behavior. This predictive tool aims to assist audiobook platforms in identifying potential repeat customers, ultimately contributing to effective customer engagement and retention strategies.
