Are you wondering if data science is just about codes, python, maths, and other unclear concepts? Curious about the application of data science in the real world? Then you are reading the right article, which would answer all those questions burning in your heart. Firstly, we use data science in various sectors to solve real-life […]
10 Application of Data Science in Real Life Read More »
The first time I heard the term “data science” was after I graduated from the university, about four years ago. And at that time, I wasn’t so interested in what it was about. However, when I got a job in a data science-affiliated company, my interest was piqued and I wanted to know what the
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“The new oil is technology” I frequently hear that comment from many Nigerians, and there is some truth to it; Daily, the Nigerian tech industry thrives. According to Mary Beth Leonard, the US Ambassador to Nigeria, Nigerian-based tech startups raised $1.7 billion in 2021. Consider working as a data scientist or programmer in a tech
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About AWS AWS was launched in 2006. At present, AWS offers more than 100 services related to databases, computing, application development, infrastructure management and security. AWS has its offices located in 16 geographical locations. About Microsoft Azure Microsoft Azure was launched in the year 2008. It is a cloud computing service offered through a global
Microsoft Azure Vs AWS: Which One Should You Choose? Read More »
WHAT IS A DATA SET A data set is a collection of related, discrete items of related data that may be accessed individually or in combination or managed as a whole entity. A dataset, or data set, is simply a collection of data. The simplest and most common format for datasets you’ll find online is a
5 Weirdest Data Sets You Never Knew Existed! Read More »
Top Reasons To Learn Apache Hadoop Now! According to Apache Hadoop, the software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models, and it is an open-source framework. It is designed to scale up from single servers to thousands of machines, each
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Introduction The first algorithms people learn in data science are usually linear and logistic regressions. Because of their widespread use, many analysts mistakenly believe that they are the only type of regression. Those who are slightly more interested believe that regression analysis is the most important of all types. The truth is that there are
7 Useful Regression Techniques you should know! Read More »
According to IANS, as people use Google Maps to travel over 1 billion kilometres in over 220 countries, the company is using artificial intelligence (AI) machine learning (ML) models to predict whether traffic along your route is heavy or light, an estimated travel time, and an estimated time of arrival (ETA). Today, we’ll take a
How Google Maps is using AI and Machine Learning to improve traffic prediction Read More »
It’s a fantastic concept in theory. However, We found these Robo-resume reading algorithms to be complete ‘gaarbaaage’ in practice. According to a Harvard/Deloitte survey, 88 per cent of qualified candidates are overlooked and that’s a staggering figure. When you apply for a new job, you may be surprised to realize that the person who reads
Fumbling Robot-Resume Readers: Ways to make your resume machine-friendly Read More »
How To Be A Better Data Scientist – Tips For Newbies As a budding data scientist, you’ll have to do a lot of things at once. You’ll be constantly juggling between your code spreadsheets, trying to figure out how everything fits together and what you need to change to improve your predictions. It’s not easy.
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