PinnedSean GahaganSeries Recap: A High-Level Understanding of Machine LearningThis note shares a final recap of my series of notes on the different topics from Andrew Ng’s Machine Learning course. I hope that these…Oct 21, 2022Oct 21, 2022
Sean GahaganDeep Learning in Practice: Building the DrawMoji ModelAfter earning deeplearning.ai’s Deep Learning Specialization certifications in 2020, I wanted to put my knowledge into practice by building…Feb 25, 2023Feb 25, 2023
Sean GahaganBuilding Intuition around High-Dimensional Space in Deep LearningIn my recap of Prof. Andrew Ng’s lectures from the Stanford Machine Learning course, I shared that you can imagine supervised learning as…Dec 10, 2022Dec 10, 2022
Sean GahaganA High-Level Introduction to Dimensionality Reduction and Principal Component Analysis (PCA)My last note shared how to prioritize which parts of a machine learning system are most important to work on using ceiling analysis. This…Oct 21, 2022Oct 21, 2022
Sean GahaganCeiling Analysis for Prioritizing Work on ML SystemsMy last note shared how a system of machine learning models can be used to identify and classify text within an image in optical character…Oct 21, 2022Oct 21, 2022
Sean GahaganAn Introduction to Optical Character Recognition (OCR)My last note shared how models can learn from real-time data with online learning. This note shares how a system of machine learning models…Oct 21, 2022Oct 21, 2022
Sean GahaganMachine Learning with Real-Time Data via Online LearningMy last note looked at how machine learning can be used for providing content-based recommendations to website users. This week, we’ll look…Oct 21, 2022Oct 21, 2022
Sean GahaganAn Introduction to Machine Learning for Content-Based RecommendationsMy last note looked at how a unique type of supervised learning can be used for anomaly detection. This week, we’ll look at one example to…Oct 21, 2022Oct 21, 2022
Sean GahaganAnomaly detection with supervised learningMy last note looked at a specific type of unsupervised learning called K-means clustering. This week, we’ll look at how a unique type of…Oct 20, 2022Oct 20, 2022
Sean GahaganAn Introduction to K-Means ClusteringMy last note looked at how neural networks can be used for classification models. This week, we’ll step away from supervised learning…Oct 20, 2022Oct 20, 2022