In my previous post on recommendation engines, I fleetingly mentioned about machine learning. Talking about machine learning, what comes to my mind is a recent conversation I had with my uncle. He was asking me on what I was working on and I started mentioning about machine learning and data science . He listened very attentively and later on told my mother that he had absolutely no clue what I was talking about. So I thought it would be a good idea to try and unravel the science behind machine learning.
Data is everywhere, created and used by just about anyone. The days when companies or individuals had to pay significant sums of money to access useful and interesting datasets is long gone. Here is our top 20 list of the best free data sources available online.
Bit by bit they gathered over the years
They bit, they spread, and they flew everywhere!
On land, in air – they left no empty space
They sucked everyone into a pretty mad race!
Megabytes! Gigabytes! Terabytes! Their sizes grew bigger
Petabytes and Zettabytes are now ready to trigger!
They sped through the wires, they rode the air waves
In dots and lines, they came in all shapes!
The ‘likes’, the ‘dislikes’ and even the very ‘neutral’
You are forced to pay attention and cannot be too casual!
Find out how Data to Value’s Graph Data software partners Neo4j and Linkurious have been used in the Panama Papers investigation.