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How I passed the AWS Machine Learning Specialty Exam

I wrote the AWS Machine Learning Specialty Exam last week and passed. I am just 1 year into the AWS Cloud and this is my first ever AWS exam. So if you are new to AWS and considering taking this certification then this article will give you some tips on how to go about preparing for the exam. Remember as a Specialty exam, it is not an easy exam to pass, as it tests both your Machine Learning and AWS knowledge. And it is for this same reason (this blend of skills), that I was attracted to taking the certification. Therefore I could not wait to just go straight for it wit

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How Data Science will help reduce churn rates in a telecom company

Traditional Business Intelligence systems have reached their limit Gone are those days when telecom companies used to have an easy ride and make money with little effort. Most markets are now becoming highly saturated and telecom companies today, are currently suffering from huge competition .A Telecom Company spends averagely above $100 to acquire a new subscriber. It is a huge loss when those subscribers leave the franchise to other competitors within a couple of months of their acquisition. The customer lifetime value is bound to drop significantly, as competitors en

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03 main benefits for companies with a Data Driven culture

90% of the data in the world today has been created in the last two years only. And the truth is, the amount of data generated by people and companies keep increasing exponentially every single day. We are now in the age of Big data where the speed, variety and complexity of data is only ever going to increase. A company can either chose to stay as an emotion driven culture (using gut feelings from a few leaders) or move towards a data driven culture. Emotion driven culture is ideal when the leaders are experts, company data is not available and the company’s data scien

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EMBRACE DATA SCIENCE TODAY AND MAKE YOUR BUSINESS LIFE EASIER

Data is the new oil… For those business owners and Top Management who still have not realized it, they need to be aware that not only have the Steam and Computer Industrial revolutions passed a long time ago, even the Digital Revolution is gone already.We are now in the Fourth Industrial revolution of Cloud computing, Artificial Intelligence and Data. You might not be aware but each day we consume products from data science and machine learning. After watching a video on you tube, you receive a recommendation for a similar video based on the previous video you watche

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04 Ways banks can leverage data science

As we go deeper into the fourth industrial revolution ,we see fintech and other digital solutions taking over traditional offline solutions. With all these transactions passing though the banks,there is a laot of data that banks already have that are currently under utilised.Many banks still collect and exploit data strictly to sataisfy regulatory requirements and produce reports requiredby the Central Bank or the government only. There is a lot of data science applications relevant to the banking industry.Below is a list of the top 4 opportunities banks can seize while