“Accounting” for people with non-finance background.

Sharing these resources as received requests in DM & comments.

A small thread.

(1/9)

1.Go through “Fundamental Analysis” chapter in Zerodha Varsity.

It is not sufficient. But introductory stuff is explained very lucidly. Perfect content for absolute beginner

(2/9)

https://t.co/xFjDeUKNxs
2. A free course from Wharton university of Pennsylvania

(3/9)

https://t.co/OwOjdXzOeP
3. Read this book on “Financial accounting” by R Narayanaswamy

(4/9)

https://t.co/3OpGbFSBsT
4. These three are almost sufficient.

After that you should go through as many Annual reports as possible and do one exercise.

(5/9)
Just try to mentally assess cash flow statement after reading “Income statement” and “Balance sheet”.

If the actual CFO differs drastically from your imagination, try to find the reason.

You will find a lot of dead bodies which are hidden in income statement.

(6/9)
5. Mentioning another two source from youtube.

1st one (7/9)

https://t.co/FsxnPTs15R
2nd one

(9/9)
https://t.co/SvPNkToNX0

More from All

How can we use language supervision to learn better visual representations for robotics?

Introducing Voltron: Language-Driven Representation Learning for Robotics!

Paper: https://t.co/gIsRPtSjKz
Models: https://t.co/NOB3cpATYG
Evaluation: https://t.co/aOzQu95J8z

🧵👇(1 / 12)


Videos of humans performing everyday tasks (Something-Something-v2, Ego4D) offer a rich and diverse resource for learning representations for robotic manipulation.

Yet, an underused part of these datasets are the rich, natural language annotations accompanying each video. (2/12)

The Voltron framework offers a simple way to use language supervision to shape representation learning, building off of prior work in representations for robotics like MVP (
https://t.co/Pb0mk9hb4i) and R3M (https://t.co/o2Fkc3fP0e).

The secret is *balance* (3/12)

Starting with a masked autoencoder over frames from these video clips, make a choice:

1) Condition on language and improve our ability to reconstruct the scene.

2) Generate language given the visual representation and improve our ability to describe what's happening. (4/12)

By trading off *conditioning* and *generation* we show that we can learn 1) better representations than prior methods, and 2) explicitly shape the balance of low and high-level features captured.

Why is the ability to shape this balance important? (5/12)

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Tip from the Monkey
Pangolins, September 2019 and PLA are the key to this mystery
Stay Tuned!


1. Yang


2. A jacobin capuchin dangling a flagellin pangolin on a javelin while playing a mandolin and strangling a mannequin on a paladin's palanquin, said Saladin
More to come tomorrow!


3. Yigang Tong
https://t.co/CYtqYorhzH
Archived: https://t.co/ncz5ruwE2W


4. YT Interview
Some bats & pangolins carry viruses related with SARS-CoV-2, found in SE Asia and in Yunnan, & the pangolins carrying SARS-CoV-2 related viruses were smuggled from SE Asia, so there is a possibility that SARS-CoV-2 were coming from