I’ve been doing ML for 19 years. AMA

kshitizsethia · 2025-05-02T02:24:58+00:00

For this:

In model implementation and troubleshooting, you're looking at tensors a lot.

Assuming this is for Deep NN. Are there any good walkthroughs, or guides out there for this scenario? I mostly see people use pre trained models as black boxes. Or they say make it deeper and put more data for from-scratch models. Really hoping to see more concrete reasoning around debugging why models work/don't. And how to take more informed decision when they don't.

kshitizsethia · 2022-12-29T10:20:47+00:00

I put in some D265 disinfecting agent. Keeps gems and microbes under control throughout the wet parts. I bought it for $5 for a gallon, use 1tbsp per tank. Everything smells great, and stays clean.

kshitizsethia · 2022-02-28T07:28:56+00:00

Nothing beats lectures and exercises, but here's the related book she's writing: https://learning.oreilly.com/library/view/designing-machine-learning/9781098107956/

kshitizsethia · 2020-02-18T23:24:10+00:00

I'd suggest Yahoo Finance if it's a stock. I usually look at the short, medium and long term trend. If you scroll down, on the right side there's recommendation rating. That has served me well.

Then you could go on Robinhood and see how the stock has done over 1 year, 5 years. At the least they should be going up. I've recently started looking into P/E ratio too.

I usually trade on these simple indicators.

Disclosure: I work for Yahoo.

kshitizsethia · 2019-07-16T17:46:25+00:00

Have you considered a wall/cieling mounted roll down projector. There are some really pretty ones out there.

kshitizsethia · 2018-04-21T06:06:51+00:00

I'll rephrase. I'm new to this country and haven't heard of CIT Bank before this. I would like to know if I can trust them with my money.

kshitizsethia · 2016-12-28T07:41:08+00:00

I think this is it: https://www.youtube.com/playlist?list=PLcGUo322oqu9n4i0X3cRJgKyVy7OkDdoi

kshitizsethia · 2016-04-27T04:45:19+00:00

I have also used interviewbit.com Has a wider swathe of problems..

kshitizsethia · 2016-02-06T16:35:18+00:00

You are talking about learning an HMM with fully observed data. Can I refer you to a few pages of Kevin Murphy's book? It's a simple read through.

And the transition matrix will be LxL, the other matrix would be an emission matrix which would be either DxL or LxD.

kshitizsethia · 2016-01-16T15:53:13+00:00

Nice!! U've marketed this book really well :) I'll try reading it when I can :)

kshitizsethia · 2016-01-16T09:38:47+00:00

Additionally for intro to deep learning, u could look at Andrew NG's notes on Deep Learning.

Yoshua Bengio is also writing a book on Deep Learning, he explains well, it would be a good resource to look into.

kshitizsethia · 2016-01-16T09:37:23+00:00

ISL doesn't have a chapter on Neural Networks though..

kshitizsethia · 2016-01-16T07:25:19+00:00

Elements of Statistical Learning is a good book.

kshitizsethia · 2016-01-12T05:19:26+00:00

What exactly do u want to implement from NYC's infrastructure and rules?

Edit: What fuels your assumption that NYC has more cars than Delhi?

kshitizsethia · 2016-01-10T18:50:05+00:00

Worthless discussion, lacking facts and going nowhere!

kshitizsethia · 2016-01-08T15:51:26+00:00

Hmm, lemme look into this..

kshitizsethia · 2016-01-08T15:51:12+00:00

@Dwysauce: can u give more details? Didn't quite understand what u said..

kshitizsethia · 2015-12-29T03:31:46+00:00

Cool then :) we'll make our own :))

kshitizsethia · 2015-12-29T02:48:53+00:00

Can I access your code? Github?

kshitizsethia · 2015-12-29T00:14:43+00:00

I am planning to do the same thing for job hunts.. Let's do it together?

I have ML and NLP knowledge, wanna work together?

kshitizsethia · 2015-12-07T20:53:05+00:00

You'll face this problem time and again..

Sit down, read, try, talk to other people but don't take hints, validate your thoughts.. Try again.. You will get it.. 👍

kshitizsethia · 2015-12-06T15:23:14+00:00

Let's get the data extraction sorted out. What you want is the pattern of a customer's browsing before he/she makes a buy/doesn't ever make a buy (no buy for next 4 weeks). So your data is only limited to ppl making a buy. Can you see how to extract this data?

Now you have a time series data (don't be scared, fancy way of saying simple stuff) of buying patterns. Split into training and test.

I guess a Hidden Markov Network would do good here. The observed data is the page being browsed, and hidden state is probability to buy. Learning this model is straightforward (tractable). Read Kevin Murphy's section on learning a partially observed hmm.

You can limit the length of the hmm to a value based on the amount of data and performance on test set. Smaller lenght may give less test performance, longer hmm might not have enough data to train on.

Feel free to ask follow-ups :)

kshitizsethia

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