Translate to multiple languages

Subscribe to my Email updates
Enjoy what you've read, make sure you subscribe to my Email Updates

Wednesday, November 28, 2018

COMMENT: The mathematics you must learn for a job in data science and AI | Advice - eFinancialCareers

If you aspire to find a job in data science and artificial intelligence, you're probably wondering how to allocate your time. - Should you focus on learning math(s), or Python? Or both?, inform Paul Bilokon, founder of The Thalesians. The Thalesians are an Artificial Intelligence (AI) company specialising in neocybernetics, digitaleconomy, quantitative finance, education, and consulting.
Photo: eFinancialCareers

The answer is, both. You should not neglect mathematics.

Mathematics is an unusual subject. It is not a -logy, unlike, for example, theology or biology. The word itself comes from the Greek word “mathematikos” meaning, quite simply, “fond of learning”. In a sense, mathematics is our prowess to learn.

Unfortunately, at school we are led to believe that mathematics is about numbers. Indeed, there are three kinds of mathematicians: those who can count and those who cannot. Only later, if we choose to pursue the subject to undergraduate level and beyond, do we learn that numbers are incidental, whereas mathematics is about ideas, logic and intuition – a sense of truth.

Jacques Hadamard believed it was primarily about the latter, since “logic only sanctions the conquests of intuition”. Intuition begins with observation – just as philosophy begins with wonder – a deep and thoughtful observation, and a desire to discover the truth – the ultimate goal of a data scientist...

Indeed, some of the simpler branches of mathematics are the most useful for the data scientist. If you want to work in data science and machine learning, you will not necessarily need to understand stochastic calculus, but you will need to understand the mathematical concepts below.

Source: eFinancialCareers