5 Skills You Need to make a career in Machine Learning

Machine learning hovers around data, and a lot of it. It can be considered as an advanced field for data analysts. The job dictates and influences algorithms through data collected from various functions and daily tasks. Thereby a good hand at data analysis and handling is quintessential to a put a step forward in the world of Machine Learning.

Picture: Python Software (Twitter)

In an era where Machines are replacing Manpower at not just factories but in the digital world too, a career in Machine Learning is futuristic as well as lucrative in the present. To pursue a career in Machine Learning you must have a technical skillset apart from the innate nature of human intelligence – curiosity to learn, grow and innovate. Let’s take a look at 5 skills that you must possess in order to make a move now into the world of Artificial Intelligence and Machine Learning:

1. Technical Qualification: To begin with, you must understand computer architecture and possess basic programming skills. Programming languages, such as Python can be most favorably seen as well recommended. And as far as preferred machine learning libraries go, Tensor and Scikit-learn are heavily regarded.

 

2. Zeal to Learn

Machine Learning is all about its ever expanding continuity with various languages, methodologies, models, and skills, which can be rather interesting and fun to learn, provided you truly believe in being a learner for life.

3. Be Inquisitive

The field of machine learning and artificial intelligence is still evolving, thereby you must have an unquenching thirst for learning, acquiring knowledge, as well as an intrinsic need to keep identifying progressive technologies in this arena and out of box ideas that can simplify complex tasks.  

4. A Logical Mindset

For analytical minds, machine learning can be wholly advantageous, as its designation is more so based on it. There is a certain amount of logic involved which leads to the amalgamation of mathematics, technology, and business assessments. In order to make this possible, you need to have strong focus and a willingness to approach and accept the worth of taking enterprising tasks and issues and deciphering them easily enough to the point of articulation in order to put it in a logical permutation and combination.  

5. Data Analysis Background

Machine learning hovers around data, and a lot of it. It can be considered as an advanced field for data analysts. The job dictates and influences algorithms through data collected from various functions and daily tasks. Thereby a good hand at data analysis and handling is quintessential to a put a step forward in the world of Machine Learning.