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Name: Ming
Type: User
Name: Ming
Type: User
Course info for Fall 2020 Data Mining
Coursework for CSCI-561 (Foundations of Artificial Intelligence) at USC for the Fall 2020 Semester
All the assignments covered as part of the course CSCI 561: Foundations of Artificial Intelligence by Prof. Laurent Itti at USC
Assignment and lecture slide for CSCI 566 - Deep Learning and its Applications (Spring 2023)
My solutions for the USC course CSCI 567: Machine Learning
Homework and Slides of CSCI-570 Analysis of Algorithms at USC Spring 2021
USC CSCI 571 2020 fall, Web Technologies
CSCI572: Information Retrieval and Web Search Engines
DATABASE SYSTEM COURSE AT USC SPRING 2020
CSCI 544 - Applied Natural Language Processing (Spring 2023) | Graduate Level Course taught by Prof. Mohammad Rostami, Xuezhe Ma at USC | Credits - 4
Implementation of Machine Learning algorithms using Python3.
CSCI 570 - Analysis of Algorithms (Fall 2021) | Graduate Level Course taught by Prof. Shahriar Shamsian at USC | Credits - 4
USC ✌️ Fall 2023 CSCI 585 (Database Systems) | Final Grade: B+
USC 2022 Spring DSCI-552(Machine Learning for Data Science) Score: A
Assignments from DSCI 553: Foundations and Applications of Data Mining
Repo to contain the assignments for DSCI 553: Foundations and Applications of Data Mining course at USC
Course material for USC DSCI 551 - Foundations of Data Management.
Course material for USC DSCI 553 - Foundations and Applications of Data Mining.
USC 2022 Spring DSCI-551(Foundations of Data Management) Score:98/100
This is the repository for Jay Shreedhar and Roma Paranjpe's final project for DSCI 551 - Foundations of Data Management at USC. This repository is for the non-relational DBMS development.
This is the repository for Jay Shreedhar and Roma Paranjpe's final project for DSCI 551 - Foundations of Data Management at USC. This repository is for the relational DBMS development.
DSCI 552: Machine Learning for Data Science (Fall 2022)
Course Assignments for DSCI 552 - Machine Learning for Data Science
DSCI 552 - Machine Learning for Data Science (Summer 2023) | Graduate Level Course taught by Prof. Mohammed Reza Rajati at USC | Credits - 4
USC 2022 Fall DSCI553(Foundations and Applications of Data Mining) Score: 101.8/100
DSCI 553 - Foundations and Applications of Data Mining assignments and codes
Data mining and machine learning algorithms for analyzing very large data sets. Emphasis on Map Reduce. Case studies.
The assignments I accomplished in USC Building Knowledge Graphs course.
A repository of the work I completed in USC DSCI 552 (Machine Learning for Data Science) in Fall 2020.
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.