If you are a machine learning student, researcher, or practitioner, it is crucial for your career growth to have a deep understanding of how each algorithm works and the various techniques to enhance model performance. Nowadays, many individuals tend to focus solely on the code, data, and pre-trained models, often without fully comprehending the machine learning model’s algorithm or architecture. They simply fine-tune the model on a new dataset and adjust hyperparameters to improve performance. However, to truly excel in building your own model and advancing AI technology to the level of systems like ChatGPT, you must start with the basics, delving into linear algebra and mastering the fundamentals using Python libraries.
In this blog, we will explore five free books designed to enhance our understanding of machine learning algorithms. These books come with code examples, detailed diagrams, mathematical explanations, hands-on exercises, and real-world projects, offering a solid foundation in machine learning.
https://machinelearningmastery.com/5-free-books-on-machine-learning-algorithms-you-must-read/