Each recommender has a _compute_item_score function which, given an array of user_id, computes the prediction orscorefor all items. Further operations like removing seen items and computing the recommendation list of the desired length are done by therecommendfunction of BaseRecommender ...
The People Inside Your Machine (23 minutes) is a Planet Money podcast episode about how Amazon Mechanical Turks can assist with recommendation engines (and machine learning in general). Class 19: Advanced scikit-learn Advanced scikit-learn (code) Searching for optimal parameters: GridSearchCV Stan...
As conclusion, here it is my recommendation for teaching those cases and machine learning models concepts, to try to “visualize” the problems from the beginning , clearly at the problem introduction, in terms of those “input tensors” and “output tensors” shape and meaning…...
The People Inside Your Machine(23 minutes) is a Planet Money podcast episode about how Amazon Mechanical Turks can assist with recommendation engines (and machine learning in general). Coursera has acourseon recommendation systems, if you want to go even deeper into the material. ...
In this solution, we explore the transformative power of embeddings and large language models (LLMs) in customer risk assessment and product recommendation in the financial industry. We'll be altering the format in which we store customer information, and consequently, we'll also be changing how...
We start lesson 3 looking at an interesting dataset: Planet's [Understanding the Amazon from Space](https://www.kaggle.com/c/planet-understanding-the-amazon-from-space). In order to get this data in to the shape we need it for modeling, we'll use one of fastai's most powerful (and ...
Explore and run machine learning code with Kaggle Notebooks | Using data from Course Relevance Dataset
View Active Events D@Kg· Updated2 years ago Course Enrollments Dataset Dataset for Course Recommendation System Data CardCode (2)Discussion (0)Suggestions (0) Oh no! Loading items failed. We are experiencing some issues. Please try again, if the issue is persistent pleasecontact us. ...
Part of this recommendation may concern information about the initial images themselves (input data for the classification task). What types of images work best? Solution Overview The objective of the analysis is to build a neural network that accurately classifies images of cats and dogs. The dat...
Recommendation Engines slides Recommendation Engine Example code Resources: The Netflix Prize Why Netflix never implemented the winning solution Visualization of the Music Genome Project The People Inside Your Machine (23 minutes) is a Planet Money podcast episode about how Amazon Mechanical Turks can ...