If you ever want to get serious about data science soon or later you’re going to have your hands on some Python code.
If you are like me – coming from the JVM world – you probably think “yeah, Python … should be cool!!”. Everybody is using it, the syntax looks concise, and the machine learning ecosystem is pretty dense in python: theano, neon, scikit-learn, …
..So yeah let’s get started… and if you’ve never written any Python code before I’ll tell you it’s not going to be that fun.
As you can see there are 2 worlds out there: the world of math and statistics and the world of software engineering.
Each of these worlds thinks he is better than the other (which is true in a sense) but the truth is that they also need each other to achieve good results.
One cannot harvest huge amount of data without a proper system and the other who knows how to build such systems doesn’t know how to extract valuable information from so much data.
Coming from a software engineering background I intend to publish some articles as I go along through this journey.