Learning from Failure: 10 Painful Lessons in Data Science
Introduction Data science is a field that has revolutionized the way we approach problem-solving and decision-making. However, like any other field, it’s not immune to errors and failures. In fact, data science is often considered a high-risk, high-reward field. According to a report by Gartner, 85% of big data projects fail, resulting in significant losses for organizations. Despite the high failure rate, there is a silver lining. Failure can be an excellent teacher, and learning from mistakes can help data scientists improve their skills and avoid similar pitfalls in the future. In this article, we will explore 10 painful lessons in data science and what we can learn from them. ...