About the Book
Important Note: Please if you want to buy it, go to the bundle with the same price, and get the whole series.
In this part, you will learn the pre-requisites linear algebra that needed for both of machine learning and linear algebra, you will study both of vectors and matrices and the operations that can be use in both of vectors and matrices. For example, addition, summation, subtraction and multiplication, also we will study advanced operations. With the theories we will give you the implementation of all these operations from scratch, to enhance your skills in both of linear algebra and coding too.
You can check the first part A Refresher Guide to Convolution Neural Networks here
About the Author
Hisham Elamir is a data scientist with expertise in machine learning, deep learning, and statistics. He currently lives and works in Cairo, Egypt. In his work projects, he faces challenges ranging from natural language processing (NLP), behavioral analysis, and machine learning to distributed processing. He is very passionate about his job and always tries to stay updated about the latest developments in data science technologies, attending meet-ups, conferences, and other events.