#docs

an archive of posts with this tag

Jan 31, 2024 On Curse of Dimensionality
Oct 31, 2022 MLOps and Data Management
May 02, 2022 Beyond simulation, applying RL in real world: Challenges and Opportunities
Apr 04, 2022 Transfer Learning in NLP
Mar 26, 2022 Exploratory Data Analysis
Mar 08, 2022 Counterfactual policy evaluation
Feb 22, 2022 Understanding Explore vs Exploit Dilemma in Online decision-making
Feb 15, 2022 Understanding AlphaGo Fundamentals
Feb 10, 2022 Getting Started with LISP
Jan 19, 2022 An introduction to Federated Learning of privacy-preserving Machine Learning
Nov 18, 2021 Understanding Generalisation in Machine Learning
Jul 22, 2021 Three Pillers of Reinforcement Learning
Apr 07, 2021 Data-Driven Business Process Improvement
Apr 05, 2021 Strategies for Preventing model overfitting
Apr 04, 2021 What is the bias-variance tradeoff?
Mar 06, 2021 A long introduction to Machine Learning
Jan 11, 2021 Four useful data Analysis concepts
Nov 26, 2020 Optimising healthcare treatment careflows with Process Mining
Aug 27, 2020 Latent Semantic Indexing with Apache Spark ML
Aug 20, 2020 Maze Solver agent in Prolog
Aug 20, 2020 Solving Traveling Salesmen with Genetic Algorithms
Aug 19, 2020 Stateful dataflow graphs in tensorflow
Aug 19, 2020 History of Deep Learning
Aug 17, 2020 Business Process Analytics
Apr 05, 2020 Collaborative Filtering Tutorial
Mar 19, 2020 Removing Image Compression Artifacts
Nov 09, 2019 Robotic Process Automation from Process Analytics Perspective
Feb 08, 2018 Notes on Numpy Performance improvement
May 12, 2016 Big Ideas in Computer Science