You now have a good understanding of what data science can do and how we can check whether it works. We have covered the main domains of data science, including machine learning and deep learning, but still, the inner workings of the algorithms are difficult to discern through the fog. In this chapter, we will look at algorithms. You will get an intuitive understanding of how the learning process is defined using mathematics and statistics. Deep neural networks won't be so mystical anymore, and common machine learning jargon will not scare you but provide understanding and ideas to complete the ever-growing list of potential projects.
You are not the only one who will benefit from reading this chapter. Your new knowledge will streamline communication with colleagues, making meetings short and purposeful and teamwork more efficient. We will start at the heart...
