## Notes for Chapter 4. Gaussian Models

Posted on Mon 20 March 2017 in MLAPP

Posted on Mon 20 March 2017 in MLAPP

Posted on Mon 20 March 2017 in MLAPP

Posted on Thu 09 March 2017 in MLAPP

Posted on Wed 08 March 2017 in MLAPP

Posted on Wed 08 March 2017 in MLAPP

Posted on Mon 06 March 2017 in MLAPP

This project includes my solutions and notes to the book *Machine Learning: a Probabilistic Perspective* by Kevin Patrick Murphy when I was learning this book.

The solutions are written in the Jupyter Notebook format `.ipynb`

, which supports python/markdown cells with pretty output. Solutions are written in markdown cells with …

Continue reading

Posted on Wed 01 March 2017 in Puzzles

24 game is an arithmetic game with a simple rule: Given 4 numbers and use + - * / to get 24.

- A simple example is
`1, 2, 3, 4`

, and you find`1*2*3*4=24`

- A more difficult one is
`5, 5, 5, 1`

, the answer is`5*(5-(1/5 …`

Continue reading

Posted on Sat 18 February 2017 in Physics

The one-way or measurement based quantum computer (MBQC) is a method of quantum computing that first prepares an entangled resource state, usually a cluster state or graph state, then performs single qubit measurements on it. It is "one-way" because the resource state is destroyed by the measurements.

Continue reading

Posted on Wed 01 February 2017 in Physics

In quantum information and quantum computing, a cluster state is a type of highly entangled state of multiple qubits. Cluster states are generated in lattices of qubits with Ising type interactions. A cluster C is a connected subset of a d-dimensional lattice, and a cluster state is a pure state of the qubits located on C. Another way of thinking of cluster states is as a particular instance of graph states, where the underlying graph is a connected subset of a d-dimensional lattice. Cluster states are especially useful in the context of the one-way quantum computer.

Continue reading

Posted on Tue 17 January 2017 in Physics

In information theory, the Rényi entropy generalizes the Hartley entropy, the Shannon entropy, the collision entropy and the min entropy. Entropies quantify the diversity, uncertainty, or randomness of a system. The Rényi entropy is named after Alfréd Rényi.

Continue reading