Viewing profile — dafrdman

You can now find a pdf version of the book at https://github.com/dafriedman97/mlbook/blob/master/book.pdf . JupyterBook is still working on the PDF creation, so this doesn't have a…

Thanks so much! I would say two major differences: 1, as you mention, it codes each method up from scratch in Python readers can really see each step the method uses. 2, it is focu…

It's definitely not deep learning focused. I wanted to start by introducing the models machine learning practitioners should all know. But collaborative filtering and stuff along t…

My hesitance with "Application" is that sounds like I'm going to use some interesting dataset or do some cool project (and this is essentially using iris to build basic models). Ho…

That's sensible. Maybe change construction to code and code to application? Or keep construction but rename code? I'll have to brainstorm. I definitely don't want people missing th…

I definitely agree. I should add more comments explaining what things like .T does--it's not that it's hard to grasp, but it might turn away newbies. Thanks for the suggestion! Pan…

Agreed. That's #1 on my list right now.

I agree though I saw that as outside the scope of this book. I tried to be clear in the introduction that the book is a "user manual" of sorts that simply shows how to construct mo…

Perhaps I should have been clearer, but the "code" section within each chapter is not "from scratch". The "construction" section is "from scratch" in that it only uses numpy (not s…

Good question. I definitely prefer downloadable books myself. I made it in JupyterBook because that was easiest with the executable ipynb files. I'll look into whether I can make i…

Good ideas. I think I'll try to add an appendix, minimize the number of numpy functions used, and explain any of the weird ones that are real time savers. Thanks for all your thoug…

I hadn't even considered licensing it. Want to email me and we can talk? My email is dafrdman@gmail.com. That said, you're welcome to use it (though my lawyer father suggests I say…

Yeah the book was built with JupyterBook. It's an awesome tool but I lose track of what it does to the .md files when creating the website.

Thanks for the feedback. Sounds like you're not alone in your thoughts on numpy. I'll brainstorm better solutions--maybe explaining each numpy function in a side note or adding a n…

Thanks for the catch! Ugh those pesky $$s. Changed it now. Looks like you found the repository. Do you think it would be enough to raise an issue there? (at https://github.com/dafr…

Thanks so much for your feedback. Definitely open to comments! I agree 100% that any use of packages can be intimidating for newbies. I experimented at first with creating the mode…

Thanks for the helpful feedback. I wanted to put emphasis on the graphs so I chose to hide the code but maybe it's not worth the cuteness of the "click to show". Changing that now.…

Good call! I'll work on that ASAP

The approach to this book is very similar to nnfs.io (a similar focus on deriving models from the bare bones). The biggest difference is that his focuses on deep learning while min…

I'm linking to a free online book I just finished called Machine Learning from Scratch. The book aims to cover the complete, technical, "under the hood" details that other ML textb…