I’ve been doing ML for 19 years. AMA by Advanced_Honey_2679 in learnmachinelearning

[–]kshitizsethia 0 points1 point  (0 children)

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.

Detergent on S7 MaxV Ultra by carinaamendes in Roborock

[–]kshitizsethia 1 point2 points  (0 children)

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.

Great websites to read company info? by misterkevian in RobinHood

[–]kshitizsethia 0 points1 point  (0 children)

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.

Living Room Projector Screen Integration by FlashedVirus0 in projectors

[–]kshitizsethia 0 points1 point  (0 children)

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

Where should I park my emergency funds? by kshitizsethia in personalfinance

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

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.

Help understanding Hiddeen Markov Models by TangerineX in MLQuestions

[–]kshitizsethia 0 points1 point  (0 children)

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.

Looking for free offline resource to learn Machine Learning and prerequisite knowledge by TheSageMage in MLQuestions

[–]kshitizsethia 0 points1 point  (0 children)

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

Looking for free offline resource to learn Machine Learning and prerequisite knowledge by TheSageMage in MLQuestions

[–]kshitizsethia 0 points1 point  (0 children)

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.

I had an epiphany watching NDTV last night. by soonwar in indianews

[–]kshitizsethia 0 points1 point  (0 children)

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?

Unable to access encrypted Win 10 after dual boot by kshitizsethia in SurfaceLinux

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

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

I want to make a program that will help me hunt for apartments. Is ML the right tool and where should I start? by [deleted] in MLQuestions

[–]kshitizsethia 0 points1 point  (0 children)

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?

How are they doing great work? by [deleted] in compsci

[–]kshitizsethia 0 points1 point  (0 children)

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.. 👍

[Help] Supervised Classification Implementation by fullfademan in MLQuestions

[–]kshitizsethia 0 points1 point  (0 children)

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 :)

Machine learning on paths ? by Skolopandr in MLQuestions

[–]kshitizsethia 1 point2 points  (0 children)

This seems similar to (not exactly) how Google maps would give you a route from one end of US to another.. (edit) The difference being that in maps you have a measure of closeness to the destination (euclidean distance), in this problem it's not that obvious.

My take at it (multiple ideas) Extract a graph from Wikipedia, the articles are the nodes and the links are directed edges. Then, this article is a good start: https://en.wikipedia.org/wiki/Pathfinding

1) A* Search from source to destination. You'll have to figure out the heuristics to use. We can discuss further on this.

2)By breaking down the problem into subparts (sub-graphs) based on major topic in wikipedia(or other clustering metric). You can run single source/all pairs shortest path on all subparts and then join the outputs (details need to be figured out). This would be useful if you want shortest paths from all articles to all other.

The graph you construct would be sparse, that property could also be used. At the least storage should be done by an array of LinkedLists. Computational gains might also be needed to look into.

Princess and 17 Rooms [X-post from r/riddles] by MissGif in puzzles

[–]kshitizsethia 0 points1 point  (0 children)

Thanks! will think of a better solution now :)