Tag Archives: Data Science

ChatGPT Limitations: The Long-Tail Case

In this post, I would like to add one observation about Google vs ChatGPT. We need to understand that ChatGPT is just a language model and not a knowledge model or a conceptual model. Thus, it only captures relationships between … Continue reading

Posted in Data Science, Machine Learning | Tagged , | Leave a comment

Applications of Machine Learning INDT Webinar

This week I had the pleasure to be invited by the INDT (National Institute for Technological Development) in Brazil to participate in a webinar about Artificial Intelligence (in Portuguese). In the slides and video below, I present several applications of … Continue reading

Posted in Data Science, Machine Learning, Recommender Systems, Research, Startups | Tagged , , , , | Leave a comment

Applications of Machine Learning

Last month I had the pleasure to be invited by the Brazil-Israel (BRIL) Chamber of Commerce to participate in a webinar about Artificial Intelligence (in Portuguese). In the slides and video below, I present several applications of Machine Learning and … Continue reading

Posted in Data Science, Israel, Machine Learning, Recommender Systems | Tagged , , , | Leave a comment

Automated Machine Learning

This week I was invited to give a talk at the Haifa Tech Talks meetup. In this talk I presented an introduction to Automated Machine Learning (Auto ML). I discussed some approaches to face the challenges of Auto ML, including … Continue reading

Posted in Data Science, Machine Learning, Research | Tagged , , | 1 Comment

Data Science: Set Similarity Metrics

In this article I would like to present several metrics to calculate the similarity between sets of items. I’ve been analyzing diverse metrics as part of an investigation I’m doing to improve the targeting of digital advertising campaigns. These set … Continue reading

Posted in Data Science, Machine Learning | Tagged , | 5 Comments

Data Science vs. Software Engineering

The work of a Software Engineer is to analyze a problem, think about a good solution, design it, implement it and then test it. Software Engineers do problem-solving. The work of the Software Engineer ends when he finishes implementing the … Continue reading

Posted in Data Science, Machine Learning, Software Engineering | Tagged , , | Leave a comment