10 Best Machine Learning Textbooks that All Data Scientists Should Read

Machine learning is an intimidating topic to tackle for the first time. The term encompasses so many fields, research topics and business use cases, that it can be difficult to even know where to start. To combat this, it’s often a good idea to turn to textbooks that will introduce you to the basic principles of your new field of research. This holds true for AI and machine learning, especially if you have a background in statistics or programming. When used alongside more focused online articles like ourintroduction to training data, they can be an essential part of a powerful toolkit with which to learn and grow. In this article, we’ll showcase some of the best textbooks that the field has to offer. Frequently used in university courses and recommended by professors and engineers alike, the following textbooks provide a tried and tested introduction to the wider world of AI. Even if you’ve got bags of experience with machine learning, picking up one of these textbooks could be a great refresher. After all, there’s always something new to learn.

Source: kdnuggets

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