PhD in Computer Science, Computational Linguistics, or related field preferred, or Master’s degree with 2+ years’ of relevant industry experience Proficient programming skills in a high-level language (e.g. Java, Scala, Python, C/C++, Perl, Matlab, R) Experience with statistical data analysis, experimental design, and hypotheses validation Familiarity with probabilistic models and an understanding of the mathematical concepts underlying machine learning methods Project-based experience with some of the following tools: Applied machine learning (e.

Strictly speaking, there is no such thing as “data science” (see What is data science and what is it not? ). See also: Vardi, Science has only two legs: http://portal.acm.org/ft_gateway... Here are some resources I’ve collected about working with data, I hope you find them useful (note: I’m an undergrad student, this is not an expert opinion in any way). 1) Learn about matrix factorizations Take the Computational Linear Algebra course (it is sometimes called Applied Linear Algebra or Matrix Computations or Numerical Analysis or Matrix Analysis and it can be either CS or Applied Math course).

https://www.youtube.com/watch?v=QyhqzaMiFxk&list=PLQVvvaa0QuDfefDfXb9Yf0la1fPDKluPF&index=7 d3: http://d3.decembercafe.org/pages/lessons/10.html

There is an unacceptable solution for leetcode Minimum Height Trees due to time limit exceeded. But it’s an algorithm I didn’t know, so record it. It’s Bellman–Ford algorithm used in Routing Information Protocol. object computes shortest paths from a single source vertex to all of the other vertices in a weighted digraph.[1] It is slower than Dijkstra’s algorithm for the same problem, but more versatile, as it is capable of handling graphs in which some of the edge weights are negative numbers.

Structure Data Structure Algorithm Computer Architecture Operation System Computer Network Software Engineering Design thinking How to design a google sheet know the features How to store cells in a sheet: Array Linked List Four Direction Node operations O(1) O(1) O(1) update O(m*n) O(m+n) O(p) insert row or column O(m*n) O(m*n) O(p) space: store cells Identifying Circular Dependency