Global Big Data Conference

In my last post, "It's Time to Demystify Machine Learning," I shared an easy explanation of machine learning: teaching computers to learn by repeatedly correcting models derived from data until the machine correctly applies the model rapidly to datasets. Now, to take a look at the other side of this, I'll share three things machine learning can't do well. Our brain works by collecting sensory data around us and encoding it in pairs at junctions called synapses. The more often these experiences repeat, the stronger the synapses' chemical bonds become, enabling us to practice improving our skills. Our brains also take in live data and use past experiences as a filter to quickly and effortlessly assess and understand what's going on around us.