How to achieve your learning goals for data science


As a self-taught data scientist or wanna-be data scientist, deciding on what to learn per time is important. However, it can become a stressful task in itself because there a lot of materials and new concepts to cover. For some people, the challenge is that they lack the motivation to keep learning. They quit after … Read more

Explaining Bayes’ Theorem with an Owambe

bayesian owambe

Bayes Theorem is an important approach in statistics for testing hypotheses and deriving estimates. According to Wikipedia: Bayes’ theorem (alternatively Bayes’ law or Bayes’ rule, also written as Bayes’s theorem) describes the probability of an event, based on prior knowledge of conditions that might be related to the event. For example, if cancer is related to age, then, using Bayes’ theorem, a person’s … Read more

Introduction to Neural Networks – Part 1

What are neural networks? Humans can easily identify objects because the brain has “seen” (learned) the images of those objects before – as input, processes it and then identifies the object as a dog, book, stick e.t.c. However, this is extremely difficult for computers. Why? Because computers are primarily programmed for computational results. Computers compute! … Read more