Trends in Machine Learning
Tim and Simon discuss the shift towards big models and the diminishing reliance on complex techniques in machine learning. They question the necessity of certain methods in achieving state-of-the-art results, highlighting the importance of simplifying the process for better understanding and efficiency.In this clip
From this podcast
Machine Learning Street Talk (MLST)
Understanding Deep Learning - Prof. SIMON PRINCE [STAFF FAVOURITE]
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