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Name: Lavinia Wang
Type: User
Bio: CS graduate concentration in Data Science at DePaul University
Location: Chicago, IL
Name: Lavinia Wang
Type: User
Bio: CS graduate concentration in Data Science at DePaul University
Location: Chicago, IL
Class material for a 10-week summer class.
This is the second part of introductory graduate course on computer systems topics, focusing on operating systems components and their relevance for application programming. Linking, processes, virtual memory, dynamic memory allocation, system level I/O, networking and network programming, concurrent servers and web services.
Deep Learning Specialization on coursera
Solutions for attack lab from Computer System A Programmer's Perspective 3rd edition
This repository is from my own original work that I have done in my Masters degree program in Computer Science at DePaul University with Prof.Radha Jagadeesan and Prof John Rogers. The textbook Algorithms, 4th Edition by Robert Sedgewick and Kevin Wayne
Data visualization is one of the hottest skills on the job market today. This course teaches the fundamentals including how to make crisp, clear visualizations, how human perception works to interpret information in images, how to use color, and the power of making visualizations interactive.
Topics include database implementation and queries in SQL, logical design or relational databases, storage and indexes, database programming, and emerging database models.
Deep Learning Specialization by Andrew Ng on Coursera.
Fundamental data mining covered: KDD steps, data preprocessing, classification and clustering. Software used is SPSS 24.
Introduction to fundamentals of distributed file systems and map-reduce technology (e.g., Hadoop); tuning map-reduce performance in a distributed network. Algorithms and tools for mining massive data sets and discussion of current challenges. Applications in clustering, similarity search, classification, data warehousing (e.g., Hive), machine learning (e.g., Mahout).
Code from NNDL book and modifications, homework, quiz and tensorflow keras tutorial.
Machine Learning coursework including lectures and assignments
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.