Unsorted thoughts and ideas on Data-Centric Computing, Computational Intelligence, Intelligent Autonomous Agents, Data Products, and Decision Making under uncertainty.
#People and society:
- Generative AI and Future of HealthCare
- AI Ethics and Augmented Intelligence
- Explainable AI and AI-Alignment
- Developing a Work View
- Managing and Organising AI Talent
#Machine Learning:
- Applying RL in real world: Challenges and Opportunities
- Transfer Learning in NLP
- On Curse of Dimensionality
- A long introduction to Machine Learning
- What is the bias-variance tradeoff?
- Understanding Generalisation in Machine Learning
- Understanding Explore vs Exploit Dilemma in Online decision-making
- Robotic Process Automation from Process Analytics Perspective
- Stateful dataflow graphs in tensorflow
- Collaborative Filtering Tutorial
- Counterfactual policy evaluation
- Three Pillers of Reinforcement Learning
- Strategies for preventing Model overfitting
- Is Machine learning the right tool for your problem?
#Data and Strategy:
- MLOps and Data Management
- Optimising healthcare treatment careflows with Process Mining
- Navigating the AI Revolution: Building Long-term Strategies and Defensible Moats
- Data-Centric Computing
- Competing in a Data-Driven World
- Embarking on an AI transformation Journey
- Cultivating a Mission Directed Approach to AI
- Data Strategy for enabling Data-Centric AI
- Data Science Maturity Model: A Primer
- Data-Driven Business Process Improvement
- Exploring data via Command-Line
#SE and languages:
- Elaborating Scalability requirements through Goal Obstacle Analysis
- Latent Semantic Indexing with Apache Spark ML
- Array Programming with Numpy
- Getting Started with LISP
- Maze Solver agent in Prolog
- Solving Traveling Salesmen with Genetic Algorithms
- On Engineering Software
- Getting started with Data Engineering in Spark
- On Software Engineering