It’s often assumed you need a number of PhDs and double the number of developers to create useful machine learning (ML) solutions. This is only sometimes true. If you’re creating leading-edge products — meaning you’re developing brand new machine learning methods — then you will certainly need a team of highly skilled and quite expensive talent. However, most
I’ve often needed to enter a domain where I previously had no expertise: e.g. when I started my blog, when I decided to consciously work on my social skills, or when I decided I want to understand business better. Getting an initial understanding of the new domain is really hard because there are many competing frameworks and schools
I’m reading a book on happiness and meditation which contains the following story. In Chinese history, during the reign of Emperor Shun (who lived sometime around 2200 BCE), what was then known as China was plagued by frequent destructive floods along the Yellow River. The emperor ordered a nobleman called Gun to solve the problem. Gun’s strategy was
