Imagine a box where you put all of your machine learning stuff, Here it is. [WIP] will update the structure Bias vs Varience Metrics Precision Recall Accuracy F1-score Cross-Validation How do you choose which cross validation technique will be used for your project. THink about how your model will be sued and interact with the data in a deployed setting. if the dataset is huge, use Hold-out, which is basically 80-20 method ...
Background In this case study, Artificial Intelligence based system is used to take buisness decisions. The study is based on a e-commerce company which ingest lots of data like images, quarterly reports, invoices, customer feedbacks, customer reviews with images, etc. It would be great if this large amount of data is automatically categorized or grouped together. Previously, a machine learning team in the company had created a model to classify the input data. But the nature of the e-commerce data, new product launches, new customer feedbacks, etc. are not predictable. Thus, the model needs to be retrained frequently. The company is looking for a solution that can automatically perform and help the analyst to get the insight from the unstructured data. ...