Naveen Joshi | Pulse | LinkedIn:
ML and statistics
Often in fields, like pattern recognition, data mining, and knowledge discovery, we see both machine learning and statistics coming together. What brings them together is a common goal – learning from data; this means both of them focus on drawing insights or knowledge from data. However, both these methods are affected by their inherent cultural differences. While statistics is a subfield of mathematics, machine learning comes from computer science and artificial intelligence. Not to forget, machine learning is a comparatively new field, made possible by the availability of cheap computing power and availability of what we call as big data that helped data scientists to train computers to learn by analyzing data. On the contrary, statistics has existed long before computers were invented.