hedgehog0

11 ms·

61.
by hedgehog0 3y ago
Will try the podcasts. Thank you for the recommendations. https://howtobeafounder.com/ This one seems to be a new book. Have you read it? If so, what do you think?
62.
by hedgehog0 3y ago
May I ask for more details? I don’t know much about the ML DL scenes, is he related to LSTM and European side of the story?
63.
by hedgehog0 3y ago
As a Lisper. I’ll always refer to McCarthy and Minsk’s as the fathers of AI.
64.
by hedgehog0 3y ago
Yeah I heard of this website, but never read it. Just saw the podcasts, they seem pretty nice.
65.
by hedgehog0 3y ago
Test Driven Dev?
66.
by hedgehog0 3y ago
Thank you for the advice. I’m in graduate school, so I have contributed to software like SageMath and hopefully Julia in the near future. Recently I’m reading up combinatorial optimisation and how it can be applied.
67.
by hedgehog0 3y ago
Do you have any advice or suggestions for college or graduate students who are not in industry, but interested in producing “stable boring” software business? Thank you. Added: With background in math and (theoretical) computer science.
68.
by hedgehog0 3y ago
https://www.inference.vc/we-may-be-surprised-again/ The author wrote this article one month ago, and he mentioned where he thought wrong about DL
69.
by hedgehog0 3y ago
Source?
70.
by hedgehog0 4y ago
Yeah I agree. To be honest, I'm more into theoretical ML. Do you have any other similar recommendations?
71.
by hedgehog0 4y ago
But thank you for the suggestion.
72.
by hedgehog0 4y ago
I'm a math graduate student, so some of the earlier chapters are relatively easy for me, hence the comment.
73.
by hedgehog0 4y ago
Thank you. I also learned that Caltech has a course and book called “Learning from Data” which also seems to focus on foundations.
74.
by hedgehog0 4y ago
You said Murphy is more Bayesian, so I was wondering that was Bayesian approach working in practice?
75.
by hedgehog0 4y ago
What do you think of Murphy approach in practice/engineering.
76.
by hedgehog0 4y ago
It seems quite simple… maybe a little too easier than “understanding machine learning”?
77.
Ask HN: What projects/business are you running with ChatGPT and/or other LLMs?
2 points by hedgehog0 4y ago|1 comments
78.
by hedgehog0 4y ago
What do you think of lambda labs or paper spaces compared to it?
79.
by hedgehog0 4y ago
What would be your recommendations?
80.
by hedgehog0 4y ago
I’m still going through Dive Into Deep Learning, it’s long, but seems to have a good balance between theory and codes.
81.
by hedgehog0 4y ago
I’m still a grad student in math, so I cannot really buy a gaming PC.
82.
by hedgehog0 4y ago
Murphy is really long…
83.
by hedgehog0 4y ago
What do you think of it comparing to “Understanding Machine Learning” and Andrew Ng course?
84.
by hedgehog0 4y ago
I’m thinking about getting something cheap like 1080ti or 2080ti. However, I have an Intel MacBook Pro that’s 12 years old, so it definitely cannot support Nvidia GPUs. I’m currently learning on Google Colab. I’m considering getting a secon
85.
by hedgehog0 4y ago
This is really not TCS. I’d say ML foundations count as part of TCS, like VC dimensions, learning theory, and all kinds of complexity.
86.
by hedgehog0 4y ago
Yeah currently it’s mostly my hobby and interests, not directly for my work…
87.
by hedgehog0 4y ago
Thank you. I also saw Colab and Paperspace recommended elsewhere.
88.
by hedgehog0 4y ago
Those who do not recommend, do you have any suggestions for people just getting into the field?
89.
by hedgehog0 4y ago
What’s the price may I ask
90.
by hedgehog0 4y ago
Thank you. Maybe it's not modest, but I do not consider myself to be a "general beginner". I majored in math and CS, so I'm thinking about getting something more hard-core and serious...

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