The noise cancellation technology that Google Meet introduced recently, or the speech recognition technology that Amazon Alexa keeps getting better with, have always left me wondering about the powerful technology that makes all of this possible. And that’s how I started developing an interest in Machine Learning (ML) and Artificial Intelligence (AI).
Being a technical writer and content curator from a non-engineering background with a strong passion for technology, I set out to explore ways in which a non-coder and amateur like me can comprehend how these life-changing technologies work. In the interest of anyone who wants to understand the nuances of this technology, but cannot interpret or write a line of code or statistics, I have listed a few good starters that helped me warm up to the bare concepts of AI and ML.
Because of the traction that these technologies have gained over the past few years, the information available on the Internet can be quite overwhelming. Learning platforms such as Coursera and LinkedIn Learning have several ML and AI course offerings but most of these are designed for data scientists who need to learn how to train models and develop algorithms for ML.
Learnings and courses aside, I found it essential to keep myself abreast of the latest news and emerging trends about ML and AI globally by subscribing to free blogs and daily newsfeeds. I found these insightful and easy to follow for beginners – aitrends.com, sciencedaily.com, becominghuman.ai, and towardsdatascience.com.
Finally, I would recommend soaking up any free learning material for beginners that are available in the form of books, webinars, discussions, etc. Thanks to a free practical webinar workshop that my organization conducted for ML beginners, I wrote my first ML program that can predict the cost of a house based on the area of the house. It was a fun learning experience, to say the least!
I read this somewhere and it stayed with me ‘Machine Learning is more about Maths than about Python or any libraries.’ ML is easily comprehensible with logical reasoning aptitude and Maths skills even if you are not a programmer.
Hope you found this article useful and helps you take the first steps towards learning AI and ML.
Swati Thacker is a Technical Writer with 11 years of experience and works in Bangalore. She has a strong passion for technology, believes in upskilling and keeping abreast of the latest technological trends in the industry. She likes travelling, reading, and painting. Contact her on LinkedIn.
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