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World Needs Machine Learning Engineer

Mithun Kumar

machine learning engineer

Data Analytics companies need a large amount of machine learning engineer to analyze data for real world problem solution.

In today's world, machine learning and big data is hotcake! There is no end to the talk about it all over the world. Mark Zuckerberg has made Jarvis of Iron Man. Machine learning is the topic of discussion for many including scientists, engineers, technologists, experts, technology businessmen about how it can be applied in different sectors for the wellbeing of the society. It is widely used in space research, robotics, gene research, simulation and modeling, various software designs, business analysis and many more. Large companies around the world need lots of machine learning engineers. If you think only about America, you will understand how many engineers are needed. There are many companies in Silicon Valley including Facebook, Google, Microsoft, IBM and NASA, they need many. Just thinking about the amount of data being created daily on Facebook that will make your head spin! And for these data, it will take a lot of skilled engineers just to manage their servers. Let's talk about NASA, how much satellite data they have and how much data is being stored daily. Europe, India, China, Korea are all sending satellites into space. They have a lot of data being stored.

Several data analytics companies are entering the market every year. The data analytics industry is growing rapidly every year. Data analytic companies collect, store and analyze multi-source data. They need a large amount of machine learning engineers to analyze data for real world problem solution. The business of those companies survives on the business analysis. Just think a moment, how many companies there are around the world.


Skills need to be a Machine Learning Engineer

Artificial intelligence is the foundation of machine learning. If you want to gain accurate and deep knowledge about any subject, you need to read good text books on that subject. For this, newcomers can start with the book Artificial Intelligence A Modern Approach by Stuart Russel and Peter Norvig. The first chapter discusses the basis of artificial intelligence. Philosophy, mathematics, economics, neuroscience, psychology, computer engineering, control theory and cybernetics, linguistics are the foundations of artificial intelligence. After reading the first chapter, you will understand that this book can help to build your foundation to be a machine learning engineer. 

Author

Mithun Kumar
Remote Sensing Specialist & GIS Developer
Scientific Officer & Head, Aeronautics & Space Applications division
and
Founder & President, Space and Environment Research Center (SERC), Bangladesh.

Founder & Director, Project Origin

SEE ALSO: Community based Action to Environment Restoration: An Investigation in Barind Region

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