An Analysis of The Book Class Matter: The College Dropout Boom

This "classroom" shows the importance of people's attention and evaluation of classroom education. Depending on how much you donate to the school you can gain enough knowledge to succeed in the future. Having a high quality education in the US seems to be the closest ticket to movement in the classroom. This book is a very interesting explanation of the reality of American social class and how it affects people's lifestyle. Various kinds of social classes are factors that shape our society.

In the last semester of the university, I did independent research on data mining. This course covers three extended teaching materials: Hastie, Tibshirani, Witten, James, Bayesian data analysis (Kruschke), and time series analysis and application (Shumway, Stoffer). We conducted a lot of exercises in Bayesian analysis, Markov chain Monte Carlo, hierarchical modeling, director, and unsupervised learning. This experience has confirmed me to deepen the interest in the disciplines of data mining and further focus on it. Recently, I have completed the online course of Stamford Lagunita 's statistical study. This covers all the materials of the book "Introduction to Statistical Learning" that I read in an independent study. Since I mention the content twice, I would like to share 10 statistical methods in this book. I think that any data scientist should learn to handle big data sets more effectively.

I am a university student. I said that. Even among my own generation, I will get a strange and incredible appearance. You can get statistics on successful college dropouts, but they can talk. The university is not for me. These studies did not challenge me. I am going to read the same literature as I read before high school, but as I am not going to answer prompts with pre-approved answers, it is difficult for me to hand over the paper. I like exploring, imagining, assuming, and inventing. My system does not allow this kind of creativity in my education.

This is good news / bad news. About ten years ago, the number of college dropouts exceeded the K - 12 dropout number, and the two continued to move in the opposite direction. Focusing only on high school dropouts - Much of immigrant people are not included - they have never dropped out of school early or are not too high. There are many reasons why the university has dropped out. Because the K - 12 school is generating students with too many staffing, it should be criticized as a matter of course. However, universities and policy makers should also be criticized. Over the years, higher education paid less attention to the results. As Tina Rosenberg mentioned in several time columns, this situation is beginning to change, but there are still many things to do.