What is Machine Learning?
Machine Learning is a subset of Artificial Intelligence. The whole idea here is to make machines more human-like in their behaviour and decision making. As the name implies, it refers to giving the machine an ability to learn and develop their own programs. This task is done with the least amount of human intervention, which means enabling the machine to learn from data rather than through programming it explicitly.
But as you can imagine, it is not a simple process, especially when compared with the traditional form of programming. In traditional programming, data is given as input and a well written and tested program is fed into a machine to generate output. When it comes to machine learning, input data along with the output is fed to the machine during its learning phase, and it then develops a program for itself.
Now, you are already introduced to this concept of machine learning, you might be aware of the need to learn it. However, if not, we’ll break it down for you.
Learning machine learning is necessary as it can automate many tasks, mainly those that only human beings are capable of performing with their intelligence. With the help of machine learning, many routine tasks at businesses can be automated. It also helps in creating models that are able to process and analyse large amounts of complex data sets to deliver accurate results. Thus, in this manner, businesses can leverage the power of machine learning and reach optimal decisions.
Machine Learning Demand in Singapore
Singapore is the buzzing tech hub of Asia. With its strategic location, strong Research & Development funding, presence of all types of tech companies: from startups to tech giants, and a rich pool of young, highly educated tech talent and advanced techies, Singapore is a highly sought-after base for the latest technology. It is home to 59% of the Asian regional headquarters of MNCs, as per the city’s Economic Development Board.
Given the rapid pace of developments in technology in the last decade, there is an increasing demand for automation. Based on the World Economic Forum’s Future of Jobs 2020 report, Machine Learning was adopted 93% in Singapore. This means that one of the most high demand, popular, and coveted jobs in Singapore is in the field of machine learning. Using mathematical models, machine learning experts create systems that learn automatically and improve upon this ability based on the data collected.
Due to high demand, there are many machine learning engineer jobs in Singapore. The job of a Machine Learning Specialist also ranks in the top 3 emerging roles in the country. Typically, employers require machine learning engineers to have a strong background in Python along with proficiency in at least one area of machine learning. This includes Natural Language Processing, Neural Networks, or Robotics.
Let us now understand some of the top career paths for machine learning, the skills required for the same, and their salaries in Singapore.
Machine Learning Jobs and Salaries in Singapore
As mentioned before, a machine learning course in Singapore is very popular and in demand, as it reduces human efforts and increases the performance of machines by enabling them to learn for themselves. There are many career paths in machine learning.
Let’s have a look at them and their salaries(based on Indeed) in Singapore:
Here are the different roles associated with the domain of machine learning. So, if you are looking to make a career in the field of machine learning, you can explore the following roles:
1. Machine Learning Engineer
A machine learning engineer runs various experiments using programming languages such as Python, Java, Scala, etc. with the help of appropriate libraries.
Some of the major skills required for this role are: Programming, Probability, and Statistics, Data Modeling, System Design, and Machine Learning Algorithms.
The average salary for a Machine Learning Engineer is S$5,995/mo in Singapore.
2. Data Scientist
Named as the “Sexiest Job of the 21st Century” by HBP, a data scientist uses advanced analytics technologies to collect, analyze, and interpret large data sets and produce actionable insights. The insights further help the company leadership in making business decisions.
Skills required for this role include: machine learning, data mining, knowledge of statistical research techniques. Also, knowledge of big data platforms and tools such as Hive, Pig, Hadoop, Spark, etc., and programming languages such as Python, Scala, SQL, Perl is required.
The average salary for a Data Scientist is S$5,920/mo in Singapore.
Read More: How To Become A Data Scientist In Singapore
3. Software Developer
A software developer in machine learning creates flow charts, diagrams and models along with providing documentation for the systems to help in the maintenance.
Skills required for this job role include: Understanding of data structures, computer architecture concepts like distributed processing, programming languages such as Java, C, C++, statistics and probability.
The average salary for a Software Developer is S$4,546/mo in Singapore.
4. Business Intelligence Developer
A BI developer uses data analytics and machine learning to refine and analyse data to help the company make better business decisions.
Skills required for this role include: Knowledge of relational and multidimensional databases, programming languages such as SQL, Python, Scala, Perl, and a sound understanding of business analytics services.
The average salary for a Business Intelligence Developer is S$5,706/mo in Singapore.
Seeing the impact of machine learning in Singapore, it’ll be a wise decision to upskill yourself in this domain by pursuing a machine learning certification in Singapore. We suggest that you check out the details of the Post Graduate Program in AI and Machine Learning: Business Applications as it is one of the best machine learning courses in Singapore.
It is a 6-month long program by Texas McCombs, offered in collaboration with Great Learning. It gives a wholesome learning experience with its comprehensive learning structure, program manager, and mentor support. It provides exposure to 8+hands-on projects that make you industry ready. We are sure that it will give you the apt machine learning training in Singapore.
Sign up now!
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