Jyoti Prakash Maheshwari

Graduate Student in Data Science at USF, problem solver and ML/AI enthusiast

[Jeff Clune @jeffclune]

We are beginning to see how powerful AI can catalyze science. In a future coming to you soon: ask the computer to conduct an experiment, interactively probe the results, and then ask for the next experiment, iterating quickly without writing a single line of code or pipetting!

[Jyoti Prakash Maheshwari @manish_jp]

@himantabiswa @Pijush_hazarika @nhm_assam @gpsinghassam @PomiBaruah @samirsinha69 @AssamCares @DCSonitpur
Can my dad join my mom flying from Mumbai for 14-day hotel quarantine(she can not stay alone due to health issues)? How do we request it?

[Jeremy Howard @jeremyphoward]

As data scientists, we (with @math_rachel) have done our best to look at the data around covid-19, and what it means to you and your community.

Our view: it is appropriate to be very concerned, and significantly change your lifestyle, right now.
1/13

https://t.co/tPlPYHuIXi

[Jyoti Prakash Maheshwari @manish_jp]

Really amazing 🤩

[Reza Zadeh @Reza_Zadeh]

Drifting in an autonomous vehicle. Uses rotation rate of the vehicle’s velocity vector to track the path, while yaw acceleration is used to stabilize sideslip. Could help autonomous vehicles in emergencies. Fun results. https://t.co/ha6iqzIYMR

[Jyoti Prakash Maheshwari @manish_jp]

@math_rachel @usfca_msds @zillow Thanks @math_rachel for the guidance and support. Would not have been possible without it.

[Towards Data Science @TDataScience]

Breaking the curse of small data sets in Machine Learning: Part 2 by @manish_jp https://t.co/XyUKA9Wrcx

[Jyoti Prakash Maheshwari @manish_jp]

Deep Learning models are known to be data hungry. However, in most cases, we don't have a large data set to train. I have tried to list a few techniques which can be a good starting point to handle such situations. https://t.co/3BbGNR4IeH

[Jeremy Howard @jeremyphoward]

This is (by far) the most informed take I've read on the ML issues around the @openai language modeling project yet.

Almost none of the writing I've seen so far has been from people that have actually done language modeling research, so this is a breath of fresh air! :)

[Jyoti Prakash Maheshwari @manish_jp]

Important programming concepts(python) every Data Scientist must be aware of. https://t.co/NMQxQA1ESv https://t.co/HycX0wCylE #DataScience #python #MachineLearning

[Jyoti Prakash Maheshwari @manish_jp]

An important step towards lgaining an in-depth understanding of Machine learning algorithms is to implement it from scratch. My notebooks can be helpful for anyone trying to get in-depth understanding or preparing for interviews. https://t.co/X4ucxlrH7D. Happy Learning.

[Jyoti Prakash Maheshwari @manish_jp]

An important step towards learning and gaining an in-depth understanding of Machine learning algorithms is to implement it from scratch and see what actually goes under the hood. It is one the most suggested way to learn the basic…https://t.co/OJwk6EKJYm https://t.co/o9F3MsVZOc

[Jeremy Howard @jeremyphoward]

Really proud to share "What is torch.nn, really?", which takes you from a neural net written from scratch, refactored step by step using all the key concepts in `torch.nn`.

If you want to really understand how neural nets work in @PyTorch, start here!
https://t.co/qJgsZPQnTL

[Jyoti Prakash Maheshwari @manish_jp]

Machine learning models are known to be data hungry and model performance is very much related to the size of the data. But it is really important to understand how more data help the model perform better. I have tried to pen my understanding on this. https://t.co/tSRv5d2WsO

[Jyoti Prakash Maheshwari @manish_jp]

@iamsrk happy birth day sir...................
hope u mk us more happy 4 many deccade more