Hey there. I am recording the solutions of the exercises of the fourth printing of this book in this repository. The only exercises that I do not intend to do in this first run are those which explicit require MATLAB. Any computational exercise will be done in Python using a Jupyter notebook. I will follow a schema where I give a introduction and some insight into the problem, solve it and then make some remarks on the solution. I strongly reccomend the reading of the Intro and Conclusion section of the exercises that you're interested in. I intend to update the solutions in a reasonable pace, starting now (January 2017).
I hope this might help anyone who has an interest in the book and Machine Learning as a whole. If you have any question, want to debate about the book, or think that some solution may be wrong or could be improved, feel free to send me an e-mail at: [email protected].
Hey guys. I am currently on recovery from a sirgury, so I will not contiunu to update this repo this year. I will be back full steam on 2018. Nice holydays to everyone.
- As I read the book, I am facing new concepts that were useful to explain questions of previous chapters. However, due to time constraints, I do not intend to update the exercises with those new insights in the near future, save extraordinary cases.
I am a brazilian Electrical Engineer graduated at Unicamp, one the most prestigious universities in my country. I graduated as the best student of my class in 2016, among other honors. Currently, I am a M.S. student on the Electrical Engineering program at the same University, where I intend to use machine learning in agriculture problems. I am interested in a summer intership in Canada on any startup/company working with machine learning. If you want to know more about me, feel free to contact me.