msesmart

Android-Apps

Android apps developed on Android Studio using Java

CloudComputingApplications

Hadoop, Storm, HBase, MapReduce, Giraph, MLlib

Data_Mining_in_R

Data mining using R including several home work projects and final projects

DeepLearning.ai-Projects-

Assignment Projects on DeepLearning.ai courses on Coursera

Diffuse_Interface_method

multiphase, insoluble surfactant, lagrange partitial method.

Flow_Structure_Interaction_FEM_IBM

Combine Vega FEM with IBM to solve the flow-structure interaction with non-linear large deformation.

InformationRetrieval

Real Yelp review data, cosine similarity ranking of query review in Vector Space, TF-IDF model. Unigram, Bigram Language model with linear interpolation smoothing, absolute discounting smoothing, Dirichlet smoothing. Perplexity analysis. Evaluations of six language models, including boolean, TF-IDF, Okapi BM25, Pivoted Length Normalization, Jelinek-Mercer smoothing, Dirichlet Prior Smoothing. The evaluation methods include Mean Average Precision, P@K, Reciprocal rank, Normalized Discount Cumulative Gain (NDCG).

MachineLearning

Linear Regression, Ridge Regression, SVM, Facial Expression Recognition

OperatingSystem

kernel operation, Linux shell, multi-threads, sudoku, multi-thread synchronization, mutex, semaphore, conditional variable, barrier, page faults, virtual memory management, TLB, page table, LRU, Virtual file management system.

Smoothed_Particle_Hydrodynamics

smoothed particle hydrodynamics method for two phase flow simulation. It can be directly compiled and run in windows and linux.

msesmart/Flow_Structure_Interaction_FEM_IBM

Combine Vega FEM with IBM to solve the flow-structure interaction with non-linear large deformation.

msesmart/Diffuse_Interface_method

multiphase, insoluble surfactant, lagrange partitial method.

msesmart/MachineLearning

Linear Regression, Ridge Regression, SVM, Facial Expression Recognition

msesmart/InformationRetrieval

Real Yelp review data, cosine similarity ranking of query review in Vector Space, TF-IDF model. Unigram, Bigram Language model with linear interpolation smoothing, absolute discounting smoothing, Dirichlet smoothing. Perplexity analysis. Evaluations of six language models, including boolean, TF-IDF, Okapi BM25, Pivoted Length Normalization, Jelinek-Mercer smoothing, Dirichlet Prior Smoothing. The evaluation methods include Mean Average Precision, P@K, Reciprocal rank, Normalized Discount Cumulative Gain (NDCG).

msesmart/OperatingSystem

kernel operation, Linux shell, multi-threads, sudoku, multi-thread synchronization, mutex, semaphore, conditional variable, barrier, page faults, virtual memory management, TLB, page table, LRU, Virtual file management system.

msesmart/Smoothed_Particle_Hydrodynamics

smoothed particle hydrodynamics method for two phase flow simulation. It can be directly compiled and run in windows and linux.

msesmart/Android-Apps

Android apps developed on Android Studio using Java

msesmart/CloudComputingApplications

Hadoop, Storm, HBase, MapReduce, Giraph, MLlib

msesmart/Data_Mining_in_R

Data mining using R including several home work projects and final projects

msesmart/DeepLearning.ai-Projects-

Assignment Projects on DeepLearning.ai courses on Coursera

msesmart/handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

msesmart/LeetCode

msesmart/MachineLearningEngineer_UdacityNanoDegree

Machine Learning Engineer Nano Degree from Udacity

msesmart/Natural-Semantic-Code-Search-Engine

Detect similar projects using Word Mover's Distance (WMD)

msesmart/Popular-Movies-App

A simple Android app, that helps you discover most popular and most rated movies. Project 1 & 2 of Udacity Android Developer Nanodegree.

msesmart/RestExpress-Examples

Executable examples of RestExpress

msesmart/simple-blog-nodejs-mongoDB

Simple Blog web service using node.js and mongoDB

msesmart/Spark

Scala projects running in Spark

msesmart/training-data-analyst

Labs and demos for courses in the Data Engineer track of GCP Training (http://cloud.google.com/training).

msesmart/Web-Design

Design Interactive websites using HTML, CSS (Boostrap), JavaScript (jQuery), Node.js, Express framwork, AngularJS and MongoDB.