A Closer Look at the ‘Learning’ Aspect of Machine Learning


This piece is the latest in a series, called “Machine Learning Is Not Magic,” covering how to get started in machine learning, using familiar tools such as Excel, Python, Jupyter Notebooks and cloud services from Azure and Amazon Web Services. Check back here each Friday for future installments. 

When you are getting started with machine learning algorithms, it’s a great idea to learn the formula through Excel. It will give you a thorough understanding of the concept behind the algorithm. But to evolve repeatable Machine Learning models that work with new data points, we have to use mature frameworks and tools. Once you get familiar with the concepts, you can start utilizing higher level libraries like NumPy and Scikit-learn in Python. In the upcoming parts of this tutorial, I will walk you through the process of configuring and using Python with the same use case based on Stack Overflow salary calculator.

Read more at The New Stack