Donghan (Adrian)'s Blog

What did I do, Who am I

ML Basic Concepts Interview Questions

"Rome was not built in a day"

“Learn from yesterday, hope for tomorrow, but live for today” Frequenct interview questions 1). What is overfitting? / Please briefly describe what is bias vs. variance. 2). How do you overc...

Posted by dliu on February 7, 2020

Boostrap, Bagging, Boosting

"Unity is strength"

Boosting vs Bagging Bagging (bootstrap aggregating) Bagging is the bagging method, and its algorithm is as follows: A) Extract the training set from the original sample set. In each round, n tra...

Posted by dliu on January 29, 2020

Practical Data Science Techniques

"Hints learned from pains"

“Never say never, all things are possible” Prevent Overﬁtting Cross validation (refer note in part1) Regularization Key idea: deﬁne s.t. we trade-off between fitting the data and keeping m...

Posted by dliu on January 22, 2020

How Backpropagation Works

"I struggled here for long time"

“Where there is life, there is hope” Backpropagation Objectives Backpropagation algorithm is commonly used in updating parameters in neuron nets, which helps improving the model performance g...

Posted by dliu on January 15, 2020

Hello Data Science

"Hello Data Science, Hello Blog"

“Yeah It’s on. ” Why I chose data science, this’s a quite long story. Back to my age of 10, one day my parents were watching the weather forecasting, I was so curious about why the host can “...

Posted by dliu on January 1, 2020