-
Writing algorithms for scalability
The 21st Century is experiencing an unimaginable situation. A lot of data is being or has been collected, but only a small portion of it has been analysed. This means that a large proportion has yet to unleash its hidden knowledge and augment our intelligence. It is true not all data can be easily analysed.…
-
Data –> knowledge –> Action –> continuous learning
Data, Data, Data, Data, Data, Data, Data, Data, Data, Data…… Well not so long ago it was machine learning, machine learning… Because we have awaken to some limit of data-driven AI, one possible way forward is to focus on data and find some explanations why data-driven AI may suitably work or not. Our society, companies…
-
Julian Miller series: Optimisation and learning
Previous posts discussed human and machine learning. We could consider machine learning as the activity that designs algorithms that extract useful information from data. Nowadays, the design often refers to the parametrisation or providing data relevant to finding useful information. However, our definition suggests several other key elements; i.e., algorithms, data, useful information. Algorithms were…
Interesting Computing 