Machine learning (ML) is a subdisciplinary of artificial intelligence (AI) and is a complex skill to learn. However, experts predict that the need for machine learning skills will only increase over the next decade. Is that true? If so, how can you learn enough about ML and potentially get a job?
According to Burning Glass, the highly involved work in machine learning is projected to increase by 76.3% over the next decade, as it collects and analyzes millions of job postings from across the country. Over 220,000 job postings over the past 12 months have referred to “machine learning” in a meaningful way.
Burning Glass also estimates that ML jobs earn a median salary of $107,000. Approximately 76.5% of machine learning personnel have a bachelor's degree. This is good news. You don't necessarily need an advanced degree to find a role in this field. If you are aiming to pursue machine learning education, it is also helpful to study the principles of Python, Data Science and AI, SQL, Java, and C++, as these skills and languages frequently pop up in job openings related to machine learning.
Those new to ML and AI may want to stop by at noon for hackers. Once you've locked down basic terms, consider swinging with Microsoft's AI School. It offers everything from text analysis and object recognition to custom neural network models.
Openai, a kind of nonprofit dedicated to responsible AI and ML, provides models and tools for practical learners to train AI and machine learning. The Openai website also offers a very extensive tutorial on deep reinforcement learning.
Do you feel more advanced? Check out Bloomberg's Machine Learning Fundamentals, a free online course. You need to be very familiar with the data structures and algorithms to follow. Once you have mastered the skills presented there, you will have a solid foundation for applying ML to your workflow.
