Watch out for data storytelling pitfalls with common mistakes when trying to communicate data stories and insights.
Watch out for data storytelling pitfalls with common mistakes when trying to communicate data stories and insights.
Artificial intelligence can be a boon for people who study the humanities. There will be a greater demand for creativity and people who have training in ethics and philosophy.
Data science needs to start by asking good questions. Not just the data scientist, but the whole team.
The symbolic systems approach is one of the original approaches to artificial intelligence. Symbolic AI is rule-based approach that has become less popular than machine learning.
Supervised vs unsupervised learning models have different use cases with machine learning. The key difference is whether you're working with labeled or unlabeled data.
Machine learning algorithms see patterns in the data without being explicitly programmed. ML is a subset of artificial intelligence and also uses concepts from data science.