peterklingelhofer / machine-learning

Selected List of Publications on Data Science

Also see my Web site for details.

1. Deep Learning

1.1 Deep Clustering for Financial Market Segmentation

See publication: A unsupervised deep learning approach for credit card customer clustering, Towards Data Science, Nov 23, 2019

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

See publication: A multi-models deep learning approach for image and text understanding, Towards Data Science, Nov 20, 2019

1.3 Deep Learning for Natural Language Processing Using word2vec-keras

See publication: A deep learning approach for NLP by combining Word2Vec with Keras LSTM, Towards Data Science, Nov 3, 2019

1.4 Deep Learning in Winonsin Breast Cancer Diagnosis

See publication: A deep learning approach for healthcare, Towards Data Science, Oct 30, 2019

2. Machine Learning

2.1 Automatic Machine Learning in Fraud Detection Using H2O AutoML

See publication: Machine Learning Automation in Finance, Towards Data Science, Nov 13, 2019

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

See publication: End-to-end process of developing Spark-enabled machine learning pipeline in Python using Pandas, Koalas, scikit-learn, and mlflow, Towards Data Science, Oct 24, 2019

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

See publication: Preparing data for machine learning in Python, Towards Data Science, Oct 14, 2019

Certificates

• Udacity Machine Learning Engineer Nanodegree

• AWS Certified Solutions Architect - Associate

• AWS Certified Developer - Associate