Building Task-Independent Embeddings as a Service
The realm of applied Machine Learning (ML) has seen personalization taking the lead, with 45.1% of respondents in The State of Applied Machine Learning 2023 report highlighting its importance. While this may not represent all ML teams, it underscores the significance of recommender systems in driving business impact. User interactions with applications generate substantial data, providing implicit clues about interests and intentions. Leveraging this sequential information for personalization is a burgeoning area in recent research. This article explores the construction of task-independent user embeddings, their applications, challenges, and quality assessment methods.
From IC to a Data Science Manager Path
Individual contributors (ICs) may consider a managerial path at various career stages. Here’s an exploration of what it takes to become an effective Data Science Manager and how to approach the transition without prior managerial experience.
Demystifying the Applications of Causal Inference in Industry
By the end of this article, you will be familiar with Causal Inference applications in industry. While numerous books and articles delve into the theory of Causal Inference, this article spotlights its real-world applications, especially those related to gaining additional insights from well-designed experiments. This list is not exhaustive but rather a representation of my experience with most examples from the ride-hailing industry.
Analyzing Public Schools in Dubai
As part of the implementation of the Government of Dubai’s Open Data initiative, KHDA has released data on education institutions and the education system as a whole. The aim of the Open Data program is to make data accessible to researchers, investors and service developers and to create opportunities for collaboration, innovation and entrepreneurship.