By Ahmed El Deeb
Anyone that ever had to train a machine learning model had to go through some parameter sweeping (a.k.a. hyper-parameter optimization) to find a sweet spot for algorithm parameters. For random forests the parameters in need…
It’s very common for machine learning practitioners to have favorite algorithms. It’s a bit irrational, since no algorithm strictly dominates in all applications, the performance of ML algorithms varies wildly depending on the application and…
In a previous post, I argued for the need of a different kind of interview questions for data science and machine learning engineers. I then listed some questions I thought good for gauging data science knowledge and cleverness…
There are loads of books on “cracking” the programming interview, and every computer scientist or software engineer has spent some time hunting down and trying to solve interesting interview problems. But the typical interview problems are not…
