Skills You Need To Be A Machine Learning Programmer!

 


Is a career in machine learning lucrative enough? Should you train to become a machine learning programmer? If you have wondered about these questions, it is evident that you are curious about this field. There is a huge demand in the market for ML engineers and it is only going to rise given the current technological advancements we are seeing in this sector.

Facts and figure

Machine learning has come a long way since its inception and with artificial intelligence and deep learning semantics quickly making progress; the field is going to make steady growth. AI is even expected to create 2.3 million jobs by the year 2021. ML professionals are in high demand as almost all kinds of companies from big ones to startups need the help of AI and ML specialists to handle the data better and make fruitful predictions. Despite all the progress this field has made, there is still a lot to be achieved; hence becoming the best machine learning coder can prove to be really useful for your career development.

Why is machine learning essential?

What exactly is this field all about and why is it creating such a buzz in the IT world? Why is it important? Well the foremost use of ML is to study and analyze the data related trends in the market. The analysis, if done manually, would take a lot of time and hence ML and data analytics algorithms are devised to automate these tasks. This is time saving and effective as well. For example, you see a lot of mobile applications such as Netflix or Google maps making predictions as well as helping you carry out important functions and all that is possible with the help of machine learning only.

Skills to become an ML Expert

If you have the dedication and basic math and statistical knowledge, you can excel in this field. So, what are the abilities required to help you jumpstart your journey? Let’s take a look.
  • Programming knowledge: There is no one specific language that you can learn but there is Python, Scala, and R that are proven quite effective in advancing your learning of the field. The major responsibilities associated with ML are data visualizing, assessment, and transforming data inputs into an understandable format and all these can be managed by learning Python. 
  • Mathematical skills: Calculus, probability, optimization, and linear algebra are some of the mathematical concepts that are useful in the field of machine learning. Hence, having a basic knowledge of these can really accelerate your learning.
  • ML algorithms: The next step is to get well acquainted with the ML algorithms which are easily available via packages and libraries and are one of the most important aspects of machine learning.
  • Data structures: The whole ML domain is based on data analysis so if you want to build a successful career, you need to be familiar with data structure concepts like queues, graphs, searching, and stacks, etc.

ML Job Profiles

Once you complete your training to become the best machine learning programmer, you open a lot of new doors of opportunities for you. You can find job as ML engineer, data analyst, data scientist, or data architect, etc. The average salary for a programmer with ML and data science skills is around $99,007 per year but it can vary as per the experience and knowledge as well. Talking about the wide range of fields, ML has applications across all major sectors so you would have a choice to apply your skills in different domains such as robotics, automotive industry, finance, retail, quantum computing etc.

Best way to become an ML Engineer

Out of all the available learning methods, attending a bootcamp is the most effective and quickest one. If you are looking for a popular bootcamp then SynergisticIT could be your destination. The experienced teachers there use the extensive knowledge of the industry to teach every student all the needed concepts, so they can build a successful career in this field. Along with teaching the theory part of the curriculum in detail, the process also involves working on real-life projects as well. They also provide end to end job support to ensure you find a relevant job in your chosen ML field.

Location: United States

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