Decision trees are a popular intuitive supervised machine learning algorithm, that is part of the sklearn library, and has wide areas of applications like- business growth opportunities evaluation, demographic-driven data client targeting, and strategic management planning. Every machine learner worth their salt needs to familiarize themselves with the decision trees machine learning model. These free machine learning with random forests and decision trees pdf course notes will teach you how do decision trees work, how they ensemble into the random forest algorithm, what are their pros and cons, which are the most commonly used performance metrics and much more.

On Wednesday, Google announced efforts to make learning artificial intelligence (AI) and machine learning skills more accessible to all populations. Learn with Google AI is a resource center for everyone from machine learning experts to developers to those with no experience who are curious about the emerging technologies, and want to develop their skills and advance their projects. The site includes free lessons, tutorials, and hands-on exercises for people at all experience levels. The move marks an effort to diversify the AI field, as noted by our sister site ZDNet--especially important, as bias can easily seep into the data that machine learning systems use to train on. SEE: IT leader's guide to the future of artificial intelligence (Tech Pro Research) "AI can solve complex problems and has the potential to transform entire industries, which means it's crucial that AI reflect a diverse range of human perspectives and needs," Zuri Kemp, head of Google's machine learning effort, wrote in a Wednesday blog post.