Basic question(s) as I am not a data scientist but have just taken a machine learning course (<a href="https:&#x2F;&#x2F;www.coursera.org&#x2F;learn&#x2F;machine-learning&#x2F;" rel="nofollow">https:&#x2F;&#x2F;www.coursera.org&#x2F;learn&#x2F;machine-learning&#x2F;</a> )<p>Won&#x27;t trying different combinations of hyper parameters&#x2F;lambda (over a small range) help us arrive better instead of manually tuning it?  Or is that what the author meant by manual tuning?