How to Start a Career in Machine Learning and Artificial Intelligence?
Artificial Intelligence (AI) made headlines recently when people started reporting that Alexa was laughing unexpectedly. Salary in machine learning makes it a lucrative career option for everyone out there. Since there is still a long way for this industry to reach its peak, the salary that you make as an ML and AI professional will continue growing with every year.
AI Career Landscape
AI is getting even more traction lately because of recent innovations that have made headlines, Alexa’s unexpected laughing notwithstanding. But AI has been a sound career choice for a while now because of the growing adoption of the technology across industries and the need for Artificial Intelligence Training professionals to do the jobs created by this growth.
Artificial Intelligence (AI) and Machine Learning (ML) Explained
If you’re new to the field, you might be wondering, just what is Artificial Intelligence then? AI is how we make intelligent machines. It’s software that learns similar to how humans learn, mimicking human learning so it can take over some of our jobs for us and do other jobs better and faster than we humans ever could. Machine learning is a subset of AI, so sometimes when we’re describing AI, here describing machine learning, which is the process by which AI learns.
The Three Main Stages of AI AI is rapidly evolving, which is one reason why a career in AI offers so much potential. As technology evolves, learning improves. Van Loon described the three stages of AI and machine learning development as follow: •Stage one is machine learning - Machine learning consists of intelligent systems using algorithms to learn from experience. •Stage two is machine intelligence - Which is where our current AI technology resides now. In this stage, machines learn from experience based on false algorithms. •Stage three is machine consciousness - This is when systems can do selflearning from experience without any external data.
Subsets of Machine Learning
•Neural Networks •Natural Language Processing (NLP) •Deep Learning Also Learn: Machine Learning Career Path Is The Right Choice To Advance Student’s Career
How to Get Started in AI? Specific Jobs in AI If you’re intrigued by this career field and wondering how to get started, Van Loon described the learning paths for three different types of professionals; those new to the field, programmers, and those already working in data science. Specific Jobs in AI •Machine Learning Researchers •AI Engineer •Data Mining and Analysis •Machine Learning Engineer •Data Scientist •Business Intelligence (BI) Developer
Future of Artificial Intelligence (AI)
As the demand for AI and machine learning has increased, organizations require professionals with in-and-out knowledge of these growing technologies and handson experience. If you want to be one of those professionals, get certified, because the sooner you get your training started, the sooner you will be working in this exciting and rapidly changing field. CETPA provides Online Summer Training and Graduate program will help you stand in the crowd and grow your career in thriving fields like Artificial Intelligence, Machine Learning, and Deep Learning.
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