Kenya is taking a big step as a country (at far as matters in data science is concerned) by enrolling all citizens to the NIIMS (National Integrated Identity Management System). The Huduma Number is basically a social security number that will serve as an identity number. The number also comes with a card that is powered by Mastercard that lets you pay and use for government services such as passport application, NSSF, NHIF and filing KRA tax returns.
“Happy new year, sir! Would you like me to escort you to your cab?” A bald yet heavily bearded Indian man came up to me and whispered with a reassuring smile on his face. He said he was my travel agent and I agreed without a second thought in mind…
Pareto stated that 20% of the inputs are responsible for roughly 80% of the outcomes. An example of this is that 18% of the words used make up 80% of the word occurrences. Writers wanted to use less lengthy words to get their thoughts out whereby listeners want more lengthy words to understand better. This compromise gives us Zipf’s Law. Speaking of percentages, did you know that about 6% of all things said, written and read is the? (The word ‘the’ in case you didn’t catch it).
Silence! You could hear the heartbeats, the slow but sure heartbeats, the paced breaths. But most of all, you could feel it. Tests are arguably the most terrified pieces of paper in school history and the worst part is not actually doing them, it’s getting the results. That’s what gives you the fear, the anxiety.
Machine learning is a subset of Artificial Intelligence which studies algorithms and statistical models. It aims to effectively perform certain tasks such as processing the natural language (NLP). You could also say that Machine learning calculations utilize computational techniques to “learn” data specifically from information without depending on a predetermined condition as a model. The calculations adaptively improve their execution as the quantity of tests and data accessible for learning increments.
Data science is seemingly the most sizzling profession of the 21st century. In the present cutting edge world, everybody is itching with questions that must be replied by “huge amounts of data”. From non-profit organizations to corporations to government foundations, there is an apparently boundless measure of data that can be arranged, translated, and connected for a wide scope of purposes.
In December last year, I started researching on the stock market and I stumbled upon helpful information I thought I would share. I learned about the analysis needed in order to excel as the 1% of stock traders. I asked myself, “But what if I combined some machine learning?” Now, we are ready to cram years worth of work in weeks! Strap on and let’s start the journey.