36 ms·
he probably felt the need to prescribe dense theoretical books given his position. prbably look like a fraud if he recommended ' grokking machine learning on m
by apwell23 2y ago
he probably felt the need to prescribe dense theoretical books given his position.
prbably look like a fraud if he recommended ' grokking machine learning on manning.com'
- LatticeAnimal 2y agoAre you implying that he is adjusting his reading list to fake competence? Thomas Wolf has the second highest number of commits on HuggingFace/transformers. He is clearly competent & deeply technical https://github.com/huggingface/transformers/ https://github.com/huggingface/transformers/
- elicksaur 2y agoThis comment seems unnecessarily personal. The difference between the reading list and Grokking Machine Learning appears to be the layer of application. ‘Grokking’s description indicates it is for a very applied role: “teaches you how to apply ML to your projects using only standard Python code and high school-level math”. The linked reading list appears to be targeted at one level up the stack so to speak. Instead of learning how to string a few Python libraries together (which is useful, not knocking it), the goal would possibly be writing the Python library itself for a ML architecture. Given the author’s position, it makes sense why they found the content of the latter useful in getting to that position.