Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

Active learning represents a transformative paradigm in machine learning, aimed at reducing the annotation burden by selectively querying the most informative data points. This approach leverages ...

Scientists have developed a geometric deep learning method that can create a coherent picture of neuronal population activity during cognitive and motor tasks across experimental subjects and ...

Review re-maps multi-view learning into four supervised scenarios and three granular sub-tiers, delivering the first unified ...

Kernel methods represent a cornerstone in modern machine learning, enabling algorithms to efficiently derive non-linear patterns by implicitly mapping data into high‐dimensional feature spaces. At the ...

Discover research on memorization techniques for studying. Learn how repetition learning theory and spaced repetition boost ...

Organisations must recognise the role that leadership and development professionals play in the workplace to ensure ...