The first chapter of Judeau Pearl’s book, titled “Mind over Data,” resonates with me so deeply that I am compelled to consider it worthy of tattooing on myself, though I admit to occasional exaggeration. The purpose behind this emphasis is to highlight the significance of reasoning, despite our tendency to place blind trust in data. …
In the exciting sphere of data analysis and modeling, we encounter two key concepts: learning in machine learning (ML) and adjusting in statistical modeling. While these concepts may appear similar at first glance, they diverge in their approaches and objectives. In this article, we’ll delve into the relationship between learning in ML and adjusting in …
Read more “Enhancing AI Safety: Bridging the Gap between Machine Learning and Statistical Modeling”
Artificial Intelligence (AI) has become a transformative force, revolutionizing various industries and shaping the way we interact with technology. Within the realm of AI, machine learning (ML) and deep learning (DL) play pivotal roles, enabling computers to learn, make predictions, and solve complex problems. If you possess a clear understanding of the disparity between these …
Read more “Learning in Machine Learning versus Adjusting in Statistical Modeling”
Artificial intelligence (AI) has become a transformative force, revolutionizing various industries and shaping the way we interact with technology. Within the realm of AI, machine learning (ML) and deep learning (DL) play pivotal roles, enabling computers to learn, make predictions, and solve complex problems. If you possess a clear understanding of the disparity between these …