Basic Mathematics
As we delve deeper into the realm of data science, it is essential to understand the basic mathematical principles and concepts that are fundamental to the field. While math may often be perceived as intimidating, my goal is to make this learning experience as engaging and enjoyable as possible. In this chapter, we will cover key topics such as basic symbols and terminology, logarithms, and exponents, set theory, calculus, and matrix (linear) algebra. Additionally, we will explore other fields of mathematics and their applications in data science and other scientific endeavors, including the following:
- Basic symbols/terminology
- Logarithms/exponents
- Set theory
- Calculus
- Matrix (linear) algebra
It is important to remember that, as discussed previously, mathematics is one of the three crucial components of data science. The concepts presented in this chapter will not only be useful in later chapters but also in understanding probabilistic...
