Practical and Innovative Analytics in Data Science
Preface
This is the companion book for the course Practical and Innovative Analytics in Data Science open in the Department of Applied Mathematics, National Sun Yat-sen University. This course focuses on the practical aspect of data science in the real world. In the course, students will learn to engage in a real-world project requiring them to apply skills from the entire data science pipeline: preparing, organizing, and transforming data, constructing a model, and evaluating results. Moreover, high-level descriptions of how to apply deep learning for computer vision and natural language problems will also be covered.
The book is based on several well-known books and resources, including:
If you would like to review basics about statistical learning, you may refer to
If you would like to review basics about Python, you may refer to