Business and technical write-ups on data science
Ayo Philip 
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
Let’s say you have set a 6-month goal learn to data science and you are a complete newbie, here is the road map I have created to take you there from the scratch. It covers python programming, data science intuition and solving real world problems: Dataquest (2 months) [Hands-on Tutorial & Coding]- For hands-on python programming … Read more
The Creative Curve: How to Develop the Right Idea at the Right Time by Allen Gannett My rating: 5 of 5 stars Most brilliant data scientists, machine learning researchers and AI engineers in the world are made and you can become one too. This book dispels the idea that only a set of people are … Read more
We have made a detailed list of AI residency programs you can apply to right now. These AI residency programs give you the opportunity to put your foot at the door of AI companies. Here is all you need to know about the available resident programs. What is a residency program? Residency as an opportunity for advanced … Read more
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