Machine learning is one of our most important technologies for the future. Self-driving cars, voice-controlled speakers, and face detection software all are built on machine learning technologies and frameworks. As a software developer you may wonder how this will impact your daily work, including the tools and frameworks you should learn. If you're reading this article, my guess is you've already decided to learn more about machine learning.
In my previous article, "Machine Learning for Java developers," I introduced Java developers to setting up a machine learning algorithm and developing a simple prediction function in Java. While Java's ecosystem includes many tools and frameworks for machine learning, Python has emerged as the most popular language for this field. Figure 1 shows the result of a recent Google Trends query combining the search term "machine learning" with "Python," "Java," and "R." Although this graph is not reliable from a statistical point of view, it does allow us to visualize the popularity of Python for machine learning.
To read this article in full, please click here