## Study Notes: AP Physics C Reference Sheet

### Coulomb’s Law

Force between two point charges: $\small F=\frac{Q_{1}Q_{2}}{4\pi \varepsilon _{0}R^{2}}$

### Electric Fields

Definition of Electric Field: $\small E = \frac{F}{Q}=\frac{Q}{4\pi \varepsilon _{0}R^{2}}$
For a single point: $\small F=qE$

### Potential and Voltage

Definition of electric potential V: $\small V = \frac{U}{Q}$
For a constant electric field: $\small E_{x}=-\frac{\Delta V}{\Delta x}$
Potential due to a point charge at distance a: $\small V(a)= \frac{Q}{4 \pi \varepsilon _{0}a}$

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## Lecture Notes: Machine Learning

I’ve finished learning Machine Learning course by Andrew Ng in November 2018, and I got the Certificate on Coursea. This course lasts for 11 weeks and covers topics such as linear regression, logistic regression, neural networks, SVM, etc.

The entire lecture notes will be posted in a few days, since the original notes were written on my notebook. Complying with the Coursera Honor Code, I won’t provide solution to quiz or assignment in my blog.

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## Lecture Notes: Princeton Algorithms, Part I

Here’s my notes of the course Algorithms, Part I by Princeton University, which is an introduction course to algorithms and data structures. The course is based on the book: Algorithms, 4th Edition by Robert Sedgewick and Kevin Wayne.

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