One of the first lessons you’ll receive in machine learning is that there are two broad categories: supervised and unsupervised learning. Supervised learning is usually explained as the one to which you provide the correct answers, training data, and the machine learns the patterns to apply to new data. Unsupervised learning is (apparently) where the machine figures out the correct answer on its own. Supposedly, unsupervised learning can discover something new that has not been found in the data before. Supervised learning cannot do that.
So you love reading but can’t afford to splurge too much money on books? Quite a lot of the data science and machine learning books out there fall in the expensive category. It’s only fair, given how much thought and effort goes into writing and publishing them. But there are a few kind souls who have made their work available to everyone..for free! If you want to become a data scientist or AI Engineer – you couldn’t have asked for more. Here is a collection of 10 such free ebooks on machine learning. We begin the list by going from the basics of statistics, then machine learning foundations and finally advanced machine learning.
Learn how to build your own recommendation engine with the help of Python, from basic models to content-based and collaborative filtering recommender systems.