What an ML Engineer needs to know

Are you interested in Machine Learning ?  Are you asking yourself which are the key skills within this profession ? This blogpost will tell you about the most valuable skills within the field and what you really need to have in your arsenal to call yourself a machine learning engineer. If you are interested in... Continue Reading →

Machine Learning Project from A to Z

In this Post I will go through the workflow of a full machine learning project with the california housing dataset as a full Machine Learning project, from A to Z, like it is described in the book "Hands-on Machine Learning with Scikit-learn & Tensorflow" by Aurelien Geron. Table of Contents: Import Libraries California housing Dataset... Continue Reading →

Vectors and Matrixes

Vectors are one of the most crucial concepts within Machine Learning because many bugs are due to having matrix /vector dimensions that don't fit properly. Therefore it is essential for a machine learning engineer to have a good understanding of it. Vectors Let’s say your an engineer at Tesla and you get a dataset of... Continue Reading →

Why is Deep Learning taking off ?

If the basic technical ideas behind Deep Learning are around for decades, why are they taking off today ? In this post I will go over the main drivers behind Deep Learning, which will help you to spot the best opportunities to apply these tools. The best thing to answer this question would be to... Continue Reading →

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