5 reasons you should learn Machine Learning Posted on : Nov 08 - 2019

Today, technologies like Artificial Intelligence (AI) and Machine Learning (ML) have integrated into our lives in such a way that it is impossible to imagine a world without them. Think about the smart virtual assistants (Siri and Alexa), the recommendation engines on online shopping platforms (Amazon and Netflix), self-driving cars and smart homes, they all are applications of ML. Certainly, the inclusion of these radical technological innovations has made our lives so much more comfortable.

Although ML has been around for a long time (for instance, Turing’s Enigma machine), it’s only recently that the interest in this concept has peaked. As more companies are getting inclined towards advanced ML solutions and technologies, it is encouraging students and professionals to take up a machine learning course.

What is ML? Why is it important?

In simple words, ML is a subset under the broad umbrella of AI. AI is a concept that helps to design and create intelligent machines that can function like humans and learn from experience (without being explicitly programmed). And, ML is the branch of AI that gives shape and meaning to the concept of creating intelligent machines. It is a method that involves data parsing and data analysis to automate analytical model building. In ML, the systems can learn from data to identify patterns and make informed decisions with minimal or no human intervention.

Thanks to the rapid advancements in technology, ML has come to bear applications that are now being widely used across various parallels of the industry. Companies, both big and small, are investing in ML solutions to streamline business operations, enhance manufacturing processes, improve marketing campaigns and maximize customer satisfaction. Automation is one of the most significant contributions of ML. By automating routine and menial tasks, ML allows employees to devote their time to more important tasks that require human cognitive abilities.

Furthermore, ML allows organizations to save both time and money without compromising on the product/service quality. Online fraud detection, real-time customer support, malware filtering, and traffic/weather predictions, are some of the significant applications of ML. Why learn ML?

According to Google, machine learning is the future, and rightly so. The fact that an increasing number of enterprises are adopting ML techniques and solutions into their infrastructure says a lot about the promising future of ML. Jobs in this domain are growing at an unprecedented rate.

If you are still not convinced about choosing ML as a career option, here are five reasons why you should learn ML…

1. Machine Learning brings better career opportunities

According to the latest reports, while the global ML market was valued at US$1.4 billion in 2017, it is predicted to reach US$8.8 billion by 2022, growing at a compound annual growth rate (CAGR) of 43.6% between 2017 and 2022. Furthermore, by 2020, AI and ML hold the potential to create an additional value of $2.6 trillion.

The numbers make it very clear that at present, ML is the star of the technology and enterprise sectors. With continuous advancements, AI and ML applications are expanding to almost every industry, including healthcare, BFSI, education, e-commerce, logistics, and much more. This is creating job opportunities for ML engineers, cybersecurity analysts, data architects, data scientists, data mining specialists, and cloud architects across various verticals. Thus, if you wish to put yourself among the most valued professionals in the industry, you must learn ML. View More