Overview of the model-development process.

 

The lifecycle of a predictive model. defining

 

Shift in the relative importance and effort (symbolically represented by the shaded boxes) put in different phases of data-driven modelling.

 

A good scientific talk is a good scientific story

 

A typical plot diagram for an action movie can be similar to a the narrative structure of a scientific presentation. Just as a protagonist overcomes obstacles through a series of action scenes, a scientist pursues scientific objectives through a series of experiments to reach a goal. As a scientist comes closer and closer to reaching a goal, curiosity comes to a maximal point, the initial scientific question is  answered, and the presentation reaches a sense of resolution.

Machine learning used in process of data science

 

Top non-technical nuggets of wisdom of code

•  Your code should work first; you can worry about optimization later.
• Your code needs to run on a machine, but it also needs to be read by a human.
• Keep away from boxes; you’re a developer.
• Write unit tests for your code!
• Knowledge is everywhere; learn how to tap into it and make the most of it.
• Side projects are fantastic and should not be a scary thing to tackle.
• Avoid companies that are like family.
• Unlimited time off can be a trap, but it can also be a wonderful perk; make sure you ask the right questions.
• Trivial perks that only adorn the job offering, such as free food and chill-out zones should be ignored.
• Flexible hours, paid parental leave, company gear, and other useful perks are what you should look for as part of a job offer.
• Plan first, code later. That way you have a blueprint to base your work on.
• Everyone in your team is as important as you, even those who don’t write code.
• Your ego can be the end of your career; you have to learn to keep it under control.
• Do not fear code reviews. They’re a perfect learning opportunity; learn to get the most out of them.