Gilbert TannerinTowards Data ScienceIntroduction to Machine Learning in C# with ML.NETWhen thinking of data science and machine learning two programming languages, Python and R, immediately come to mind. These two languages…Sep 15, 20194Sep 15, 20194
Gilbert TannerinTowards Data ScienceLocal Model Interpretation: An IntroductionWhat is local model interpretation and how can it be used to gain insights from your model.Aug 18, 20191Aug 18, 20191
Gilbert TannerinTowards Data ScienceHands-on Global Model InterpretationWhat features are important and whyAug 5, 2019Aug 5, 2019
Gilbert TannerinTowards Data ScienceGoogle Coral USB Accelerator IntroductionSpeeding up machine learning models in a small form factorMay 26, 20193May 26, 20193
Gilbert TannerinTowards Data ScienceIntroduction to Machine Learning Model InterpretationRegardless of what problem you are solving an interpretable model will always be preferred because both the end-user and your…May 12, 2019May 12, 2019
Gilbert TannerinTowards Data ScienceIntroduction to Uber’s LudwigCreate deep learning models without writing codeMar 3, 20193Mar 3, 20193
Gilbert TannerinTowards Data ScienceIntroduction to Data Visualization in PythonHow to make graphs using Matplotlib, Pandas and SeabornJan 23, 20195Jan 23, 20195
Gilbert TannerinTowards Data ScienceIntroduction to Deep Learning with KerasHow to use the Keras Deep Learning libraryJan 9, 20195Jan 9, 20195
Gilbert TannerinTowards Data ScienceScraping Reddit dataHow to scrape data from Reddit using the Python Reddit API Wrapper(PRAW)Jan 5, 201911Jan 5, 201911
Gilbert TannerinTowards Data ScienceBuilding a book Recommendation System using KerasHow to use embeddings to create a book recommendation system.Nov 22, 201816Nov 22, 201816