Machine Learning

Let's start with learning about what is ML, why should we know about the technology, and what are the opportunities for machine learning enthusiasts.

Machine learning:

Firstly, if you are a programmer then you definitely know how an algorithm works. Secondly, if you are new to programming, then know that a program is a set of instructions given by the user to solve a particular problem. And an advanced version of this could be termed as "Machine learning". 

Machine learning is a technology that gives the ability to the computer to learn on its own, without being explicitly programmed. To break it down, it is something that enables a computer work similar to human brain, try to learn new things on its own based on the experiences.

For example, a kid doesn't know how to talk or how to walk, the kid tries to imitate elders and uses human instincts to learn new tasks. Similarly, the machine doesn't know how to process the data at the first, but then on providing some information, it tries to learn and predict outcomes for new instances.

Why should we learn?

You must have been vexed with all the boasting that's going on about Machine learning, AI. So, to be on-point, I'd say machine learning is essential for programmers who try to automate things and reduce human workload and improve the efficiency of machines. 

Say, a programmer is working with lots of hospital data and trying to categorise patients into 'emergency 'and 'not-so-urgent' categories. Here, if the job is distributed it might be easy for the group to classify, but what if one person has to do the whole job? that's when machine comes in handy. Give certain amount of examples to the machine, prepare the model to learn by feeding data to it and finally choose appropriate model that helps in categorising and check for the accuracy at the end. 70% of your time and efforts will be saved!!

Opportunities:

It's a vast topic and has to be dealt meticulously. It's better to stay focussed and get in-depth knowledge and hands-on experience by working on a few projects before jumping into the corporate AI industry.

Once, you're confident enough there are numerous opportunities, some of them are listed below:

• Machine learning engineer
• Data Analyst
• AI Researcher
• Data Scientist
• Computer Vision engineer
• Statistician
• Chat-bot specialist

The options are endless, once you dive into the field! Start learning ML without any further ado!