A Guide To Being An Artificial Intelligence (AI) Expert

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Data Analytics Courses, Coding Courses

Are you in the know of what’s going on concerning artificial intelligence (AI)? Do myths such as computers taking over the world have any traces of truth?

If you are overwhelmed with curiosity, here are simple – but not so easy – ways of being an AI expert.

Why artificial intelligence (AI)?

Before we move to how – let’s see why.

First, you must have plenty of interest and be passionate about it.

But that’s not all, AI is also seen as a significant industrial and economic driver for the new century. Pundits speculate that Artificial Intelligence will drive well over $120 billion in the global economy by 2025. However, a recent report by global firm McKinsey noted that there was a critical shortage of talent.

So, if your interest in AI s purely out of curiosity, that’s great! But it can certainly be a rewarding career for anyone. 

With the question of “Why AI?” settled, let’s proceed to how.

1. Understand the basics

Spend a couple of hours every week improving your “general knowledge” about Artificial Intelligence and machine learning.

You may have some information and some level of understanding about the field but if you want to develop into an expert, consider enrolling for any one of the data analytics courses in Singapore and grow through a structured approach.

You’ll get to enhance your skills in math, from basic concepts such as matrices and their transformations, as well as vectors, dimensionality, and statistics.

These lessons will help you understand the basic concepts of what you will cover in more complex AI algorithms.

2. Learn a programming language

There are various coding courses in Singapore that you can explore and have fun with. But, remember to keep your choice simple.

You only need to be familiar with the process of coding and choosing one that is not too cryptic would be better. As you learn, focus on understanding how you can code to solve problems involving data.

3. Learn and create different algorithms of machine learning

Machines are able to receive input, process it and respond with “intelligence” only because they can feed into vast amounts of data and process the data through machine learning algorithms.

Start with supervised models, unsupervised models and learn reinforced learning models. Then proceed to deep learning models.

Try out different problems scenarios that are likely to be experienced in day to day work and master the math behind every algorithm and why a particular algorithm fits well with one case more than the other.

4. Familiarize yourself with big data

Machine learning algorithms need to interact with vast data in order to produce viable output.  An effective machine learning or Artificial Intelligence expert knows how to interact with data systems and manipulate the interaction to create an AI system that meets the objective.

Therefore a working knowledge of big data will help you create optimized algorithms

5. Undertake and complete a project

Get started with simple models, for instance, a model that can differentiate between the image of a flower and fruit and proceed to more complex models.

To keep yourself motivated, select topics that are fascinating for you and find solutions to relevant problems. In this way, you become an AI expert at a field you love.