If you are considering a career in Machine Learning but are unsure about the necessary industrial skill set, this article can help clarify things for you. With the advancement of AI, every industry is being transformed, from self-driving cars and automated stores to automated fraud protection. This transformation would not have been possible without the dynamism of Machine Learning.
Becoming a Machine Learning engineer may seem challenging, but it is an increasingly in-demand profession. However, before discussing the skills required, let's define what Machine Learning is. When you shop online, you may notice product recommendations based on your search history or shopping preferences. This ability to predict what you will be interested in is Machine Learning. It is a subset application of artificial intelligence that enables machines to learn from experience and make predictions based on data-driven decisions, rather than being explicitly programmed to carry out a task.
Programming fundamentals are essential to becoming a Machine Learning Engineer. You can choose from the five most favoured languages for Machine Learning: Python, R, Java, C/C++, and JavaScript, depending on your area of expertise or interest. Probability and statistics are also core concepts that Machine Learning Engineers must master to perform quick and easy maths and generate results using statistical methods. Data modeling and evaluation skills are also necessary to model data in a standard, consistent, predictable manner and to help machines estimate the underlying structure of a given data set or find useful patterns.
To become the best Machine Learning engineer, you must understand the most essential Machine Learning Algorithms. Machine learning algorithms are divided into categories based on their purpose, such as supervised learning, unsupervised learning, and reinforcement learning. Each type of machine learning algorithm solves different types of problems. Combining different algorithms will unleash machines' true power.
Machine Learning is one of the fastest-growing careers in the world, along with Data Science and AI. Every company, organization, and entrepreneur is on the lookout for skilled Machine Learning Engineers. The average salary of an ML Developer is approximately 100,00,000 INR per annum globally, which is no different from an AI Engineer and Data Scientist. Moreover, according to a report by Gartner, the increasing adoption rate of Artificial Intelligence (AI) will create 2.3 million Machine Learning jobs by 2020.
The top global recruiters of ML engineers are Amazon, Google, Microsoft, NVIDIA, Facebook, Intel, Rocket Fuel, General Electric, Cylance, Oculus VR, Booz Allen Hamilton, Huawei, Adobe, Accenture, iRobot, Magic Leap, Rethink Robotics, BAE Systems, HERE, IBM, Samsung, Lenovo and Wells Fargo. Data Science and Machine Learning are generating more jobs than candidates right now, making these two areas the fastest-growing tech employment areas now a days.
In summary, mastering the skills required to enter the Machine Learning space can make you a highly sought-after professional in this digital era's hottest profession.
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