> Machine learning is the process of making a program which allows a computer to learn from data.
The data could be anything, images, audio or even text.
Here's what your first 30 days of Machine Learning should look like.
— Pratham Prasoon (@PrasoonPratham) November 22, 2020
(I wish I had this before)
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If all you know is "Hello world" in Python \U0001f40d , here are the programming concepts you need to know to level-up your skills for machine learning.
— Pratham Prasoon (@PrasoonPratham) November 25, 2020
(and resources that will help you)
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Well, you don't even need a PC for getting started with machine learning.
— Pratham Prasoon (@PrasoonPratham) November 26, 2020
With the help of google colab, I am able to train a neural net using a cloud GPU on this phone for free.
What excuse do you have now? pic.twitter.com/RWHSXtnRSy
Are you planning to learn Python for machine learning this year?
— Pratham (@PrasoonPratham) February 13, 2021
Here's everything you need to get started.
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I am quite different from your style. I follow the market's volatility very closely. I have mock positions in 7-8 different strategies which allows me to stay connected. Whichever gives best profit is usually the one i trade in.
— Sarang Sood (@SarangSood) August 13, 2019
Anilji most of the time these days Theta only falls when market moves. So the Theta actually falls where market has moved to, not where our position was in the first place. By shifting we can come close to capturing the Theta fall but not always.
— Sarang Sood (@SarangSood) June 24, 2019
This week has been great so far. The main aim is to be in the right side of the volatility, rest the market will reward.
— Sarang Sood (@SarangSood) July 3, 2019
There is a difference between theta decay & fall in vega. Decay is certain but there is no guaranteed profit as delta moves can increase cost. Fall in vega on the other hand is backed by a powerful force that sells options and gives handsome returns. Our job is to identify them.
— Sarang Sood (@SarangSood) February 12, 2020