Memory-Baguette
Body isn't all me.
Yanan’s Blogs - Memory Baguette
Open the GitHub page here
Data science and Machine Learning practice are exciting, as long as the corresponding knowledge can jump out immediately. But the truth is, the memory always sneaks away.
When I was an undergraduate sophomore, I started using the avatar which I am using here. It is from the episode of Memory Bread in Doraemon.
Back in those days, I was hoping that I can learn as much as possible and keep them in my head, just like after eating memory bread. However, the memory faded at an incredible speed.
Now with a clear vision, I decided to write it down here and name it Memory Baguette. Doraemon’s memory bread will lose efficacy after poopoo, while this time mine is not. XD
Introduction
This is a collection of blogs about data science. Productization of a machine learning model requires a solid understanding of statistics, Linear Algebra, and programming techniques, at least knowing them to some degree.
Content
Fundamental knowledge
- Probabilty Theory & Mathmatical Statistics
- Introduction to Mathematical Statistics 5th Edition
- After obtaining basic statistics knowledge, I recommend this book as a good start:
- Linear Algebra
- Python Programming
- SQL programming
Data Science Skills
- Data Aquisition
- Experiments
- From SQL to NoSQL
Introduction to Machine Learning
- Gradient Descent
- Linear Model
- Matrix Factorization
- Tree based methods
- Decision Tree
- Random Forest
- Gradient Boosting
- Feature Importance
- Other supervised Learning
- K-Nearest Neighbor
- Unsupervised Learning
- Kmeans
Advanced Machine Learning
Fundamental Deep Learning
Others
Articles
- Kmeans understanding and its implementation in e-ecommerce
- Review of Recommendation System and some side topics
Reading
- Books
- Papers