C UwatwembiDemystifying Optimization Techniques in Machine LearningMachine learning models can be powerful, but only if they are trained efficiently. Optimization techniques are critical to ensure that your…Sep 28
Gabriel WeichIntroduction to Quantitative Trading — Building a Machine Learning ModelA brief introduction to quantitative trading and how to build a machine learning model for predicting the price direction.Feb 132
Liu JasonBasics to machine learningHey, I’m Jason, a master’s student in computer science. I recently started learning about machine learning, specifically focusing on image…Sep 24Sep 24
Reika FujimuraEntropy Sampling — How to balance “relevance” and “surprise” in recommendationThis is the full-version of the article posted from CBC’s degital lab.Feb 23, 2023Feb 23, 2023
Ashutosh OjhaGSoC’24 with ML4SCI | Physics-Guided Machine Learning— Final EvaluationThis blog continues from my previous post, where I introduced my Machine Learning for Science project as part of Google Summer of Code 2024…Sep 23Sep 23
C UwatwembiDemystifying Optimization Techniques in Machine LearningMachine learning models can be powerful, but only if they are trained efficiently. Optimization techniques are critical to ensure that your…Sep 28
Gabriel WeichIntroduction to Quantitative Trading — Building a Machine Learning ModelA brief introduction to quantitative trading and how to build a machine learning model for predicting the price direction.Feb 132
Liu JasonBasics to machine learningHey, I’m Jason, a master’s student in computer science. I recently started learning about machine learning, specifically focusing on image…Sep 24
Reika FujimuraEntropy Sampling — How to balance “relevance” and “surprise” in recommendationThis is the full-version of the article posted from CBC’s degital lab.Feb 23, 2023
Ashutosh OjhaGSoC’24 with ML4SCI | Physics-Guided Machine Learning— Final EvaluationThis blog continues from my previous post, where I introduced my Machine Learning for Science project as part of Google Summer of Code 2024…Sep 23
Shiska RautLogging Multiple Metrics at Different Stages with Tensorboard and PyTorch LightningVisualizing training, validation, and test metrics together.Jul 25
Pauline FakoredeGrouping Customers of a Retail Store using K-Means Clustering.Creating a K-Means Clustering Algorithm to Group Customers of a Retail Store Based on Their Purchase HistoryAug 30
Yu-Cheng TsaiReinforcement Learning-based Recommender Systems using TF-Agent and MovieLens DatasetWith a full code example walkthrough of TF-Agent in Python and Jupyter NotebookSep 2, 2021