This week we have completed half the syllabus of Data Science, AI, and Machine Learning under Learn with Moolya initiative. I believe it’s time that we look back a little.
A number of participants have asked me this question – How is Data Science, Machine Learning, and Artificial Intelligence connected to each other?
A machine learning system
Below is a simple pictorial representation of how most of the machine learning code looks like. It also shows the percentage of code that is utilized for required operations in analytics process.
This is how an AI system looks like.
It also makes sense to understand how Big Data architecture comes into the picture. From decades, creating data was by humans. It was a manual process. Now machines are gathering data through sensors, network and human interactions which are creating a lot of data with 4 Vs. A huge data play. This was also the reason we introduce Big Data concepts in the 4th session of learning program this week. Big data architecture helps in building these systems as it works on ACID/BASE principles.
How can we test these kinds of systems?
Being a Data Scientist doesn’t seem to be cool anymore – what’s cool is a guy a who can test systems built by data scientists in the better way!
Riyaj Shaikh | Chief Data Scientist | Moolya