Yuefeng Zhang, PhD, Computer Science




Python Data Preprocessing Using Pandas DataFrame, Spark DataFrame, and Koalas DataFrame

Preparing data for machine learning in Python See publication

See Publication

Object-Oriented Machine Learning Pipeline with mlflow for Pandas and Koalas DataFrames

End-to-end process of developing Spark-enabled machine learning pipeline in Python using Pandas, Koalas, scikit-learn, and mlflow. See publication

See publication

Automatic Machine Learning in Fraud Detection Using H2O AutoML

Machine Learning Automation in Finance. See publication

See publication

Deep Learning in Winonsin Breast Cancer Diagnosis

A deep learning approach for healthcare. See publication

See publication

Deep Learning for Natural Language Processing Using word2vec-keras

A deep learning approach for NLP by combining Word2Vec with Keras LSTM. See publication

See publication

Deep Multi-Input Models Transfer Learning for Image and Word Tag Recognition

A multi-models deep learning approach for image and text understanding. See publication

See publication

Deep Clustering for Financial Market Segmentation

A unsupervised deep learning approach for credit card customer clustering. See publication

See publication

Deep Learning for Image Classification on Mobile Devices

Mobile Image Classification App Development using Expo, React-Native, TensorFlow.js, and MobileNet. See publication

See publication

Deep Learning for Detecting Objects in an Image on Mobile Devices

Mobile Objects Detection App Development using Expo, React-Native, TensorFlow.js, and COCO-SSD. See publication

See publication

Deep Learning for Natural Language Processing on Mobile Devices

Reading Comprehension using Expo, React-Native, TensorFlow.js, and MobileBERT. See publication

See publication

Running Spark NLP in Docker Container for Named Entity Recognition and Other NLP Features

Using Spark NLP with Jupyter notebook for natural language processing in Docker environment. See publication

See publication

Common Time Series Data Analysis Methods and Forecasting Models in Python

Analyzing time series data for forecasting using ARIMA and LSTM models. See publication

See publication

Probabilistic Programming and Bayesian Inference for Time Series Analysis and Forecasting in Python

A Bayesian Method for Time Series Data Analysis and Forecasting in Python. See publication

See publication

Machine Learning for Building Recommender System in Python

Building Recommendation System Using Model-Based Collaborative Filtering in Python. See publication

See publication
Some alt text Some alt text Some alt text Some alt text Some alt text Some alt text Some alt text Some alt text Some alt text Some alt text Some alt text Some alt text Some alt text Some alt text

Selected List of Publications on Machine Learning, Deep Learning, and Their Applications on Mobile Devices:

Time Series Analysis & Forecasting: Deep Learning and Bayesian Method

NLP: Deep Learning and Mobile Apps

Healthcare: Deep Learning

Profile Matching: Machine Learning and Deep Learning

1. Deep learning for probabilistic customer matching, Capital One Modeling and Analytics Conference (MAC), McLean, VA, March 26-27, 2019

2. Machine learning engineering for probabilistic customer matching, Capital One Modeling and Analytics Conference (MAC), McLean, VA, April 17-18, 2018

Computer Vision: Deep Learning and Mobile Apps

Business & Finance: Unsupervised and Supervised Machine Learning

Data Analytics & Pipeline: Machine Learning