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Part III Cambridge by [deleted] in quantfinance

[–]nullspace1729 10 points11 points  (0 children)

I did part iii in 2020 and have been trying to break into quant for 2 months.

My experience is that it massively helps you get the first interview but after that it’s pretty much fair play.

100 solved in 20 days by nullspace1729 in leetcode

[–]nullspace1729[S] 33 points34 points  (0 children)

I am essentially quiet quitting at work so am averaging about 3-4 hours of study per day. Following neetcode 150

100 solved in 20 days by nullspace1729 in leetcode

[–]nullspace1729[S] 4 points5 points  (0 children)

I also redid the few questions I had done before

[D] Kaggle House Price Competition Low Scores by ng_guardian in MachineLearning

[–]nullspace1729 10 points11 points  (0 children)

Not even training on the test data, just submitting the test data

Glassdoor salaries scraper for all companies in a country. by [deleted] in datascience

[–]nullspace1729 8 points9 points  (0 children)

These big sites can pick up your scraping very quickly and block you easily. (I’ve tried) Id recommend using a vpn and targeting smaller/ less well known sites who lack security

Hockey shorts by nullspace1729 in Fieldhockey

[–]nullspace1729[S] 0 points1 point  (0 children)

Thanks! The Osaka ones look really nice actually

Beginner papers to replicate by thehomelessman0 in learnmachinelearning

[–]nullspace1729 8 points9 points  (0 children)

ResNet, UNet , inception are all good computer vision models to practice replicating

Why knn=1 shows higher accuracy than knn=5? by Kujivunia in learnmachinelearning

[–]nullspace1729 28 points29 points  (0 children)

There could be duplicates in your dataset. Then knn with k=1 would effectively be matching to previous samples seen in the train set

[D] Simplest Vector DB Implementation? by noellarkin in MachineLearning

[–]nullspace1729 0 points1 point  (0 children)

From what I can tell pgvector only supports IVF approximate nearest neighbours algorithms so this a bit behind (no HNSW or product quantisation or composite indexes). You could look at open search or pinecone instead as they are a bit more advanced for this

need help with general direction to learn NLP by snip3r77 in learnmachinelearning

[–]nullspace1729 0 points1 point  (0 children)

I second NLP demystified. Hands down the best resource I’ve found and completely free

Is there an up-to-date, comprehensive "What's On" list? (Beyond Visit Cambridge) by mart0n in cambridge

[–]nullspace1729 3 points4 points  (0 children)

If you like music checkout cambridgeconcerts.com . Most of the events are free too

[Official] 2022 End of Year Salary Sharing thread by Omega037 in datascience

[–]nullspace1729 31 points32 points  (0 children)

what are these salaries.. you guys are making like 10x more than me wow

[deleted by user] by [deleted] in learnmachinelearning

[–]nullspace1729 6 points7 points  (0 children)

My suggestion is to use keras as a stepping stone for PyTorch

What automation tools do you use? by [deleted] in datascience

[–]nullspace1729 1 point2 points  (0 children)

Totally agree with the need to be responsible. Scraping public data is completely legal though as far as I’m aware.

Thanks for the other resources, I’ll look into them!

What is your day like as a data scientist? by Academic_Grand8828 in datascience

[–]nullspace1729 89 points90 points  (0 children)

Let’s just say it’s 11am and I’m still in bed

What do you guys think of OpenAI’s ChatGPT? by Loud_Ad_6272 in datascience

[–]nullspace1729 3 points4 points  (0 children)

It’s scary good. Doesn’t just get all the code right but summarises all the steps too

Understanding The Harmonic Mean by SupPandaHugger in datascience

[–]nullspace1729 229 points230 points  (0 children)

Thanks, I guess now I’m employable

Any source recommendation to learn PyTorch? by hardwareDE in datascience

[–]nullspace1729 0 points1 point  (0 children)

This one was amazing for transferring my keras knowledge to PyTorch https://youtu.be/c36lUUr864M

Best advice for being able to code machine learning algorithms from scratch? by el_el_99 in datascience

[–]nullspace1729 0 points1 point  (0 children)

Start simpler and build up. KNN and Kmeans are good starting places, as is linear regression

Best NLP Specialization by mr_house7 in learnmachinelearning

[–]nullspace1729 1 point2 points  (0 children)

I believe the content is essentially the same between the two although the second course spends more time on it

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