A Beginner's Guide to Machine Learning –... EEWeb Community

For engineers and scientists who are just starting out in this area, implementing a systematic workflow will offer the best chance to be successful in building their own machine learning models. There will never be an easy "Point A" to "Point B" when it comes to machine learning (ML). Before even tackling this concept, engineers and scientists should understand they will be tweaking constantly and altering different ideas and approaches to improve their algorithms and models. During this process, challenges will arise, especially with handling data and determining the right model. When getting started with machine learning, it's important for beginners to understand and appreciate the following: At first, this may sound like an overwhelming task, but trial-and-error is at the core of machine learning.