Saturday, 18 January 2025

Sunday, 19th Jan

MTP | Semester | ZTO

Lie Algebra - Revise and solve the homework once
Parallel Algo - Read all the algorithms taught once

MTP Objectives:
- Understand Kalman Filter
- Reformulate the equations to get a positive semidefinite covariance
- Look at the available algos on Kalman Filters to simulate on Python
- Literature Survey on determining process covariance and observation covariance
- Literature Survey on upcoming trends in Machine Unlearning

ZTO Objectives:
- Complete book till 28th Jan

  • Lie Algebra - Revise and solve the homework once
  • Parallel Algo - Read all the algorithms taught once
  • Understand Kalman Filter and Equations
  • Reformulate the MUL equations to get a positive semidefinite covariance
  • Look at the available algos on Kalman Filters to simulate on Python
  • ZTO - Chapter 1,2,3

Friday, 17 January 2025

N/A

Things I want to know about from foundational level:
1. AI (we are on track with that)
2. Quantum Computing
3. Self-sustaining Energy sources with zero negative impact on environment

What I visualize is making a successful sustainable AI product, whose profits would be invested in making quantum computing systems and together with a self-sustaining energy resource.

We are on track with Idea-1.
There is a book for Idea-2: Nielsen and Chuang, start with that.
Idea-3: Follow IRENA for updates, No workflow for this. Gather info haphazardly.

So, now that we are tracked about this:

- Foundational strength of DL and NLP. That we need to improve.
- Gen AI. That course will help, but knowing the syllabus, independent literature survey and experiments.
- Nielsen and Chuang QCQI.
- IRENA for updates and corresponding survey.

So, these are the pure "techy" foundational fields I want to be pursue.

Now, let's talk about the career-related things.
1. Valuation
2. Investing
3. Self-help Books

Valuation. For this, we have the course which Dada sent, and even purely for the selfish reason of learning this stuff, you can build up an MVP for the idea. Too much learning scope.
Investing. TII is a start.
Self-help Books. You know what they are, start them.

- "Valuation" by Aswath Damodaran.
- The Intelligent Investor, Benjamin Graham.
- ZTO.

This completes the "self-improvement" / "career growth" things I want to pursue.

The next is probably the thing I am doing to maintain the "workaholic" tendencies.
1. Building an MVP for Fintech Idea.
2. MTP.
I myself wish to do these two things to the hilt, as one would be improving my development skills, the other would improve my image (and ego)

Both of these are practical "hands on" pursuits, with some standing deadline, without a proper form. So, we need to inculcate these in the schedule more than a discussion on what to do about it.

- Building the MVP for the Fintech Idea.
- MTP.

Finally, the semester stuff. The only course which I feel is worth any value is GGM, maybe Lie Algebra to some extent. But karna to sab kuch hi he.
1. Lie Algebra: Attend the lectures and solve the homeworks and the assignments she gives.
2. Parallel Algorithms: Look at the topics which he seems to be teaching from the reference, on Mondays and Tuesdays itself.
3. Boundary Integral Methods: This is a nuisance. We need to take up some time for this, probably on Mondays and Tuesdays itself. To understand what seems to be happening. Probably a revision of PDE while solving the assignments would be a decent-ish approach.
4. Graphical and Generative: Attend the lectures, that would be enough.

- Attending classes.
- Revision of Lie Algebra.
- Readings of Parallel Algorithms.
- Revision of Boundary Integral Methods.

So, these things better be completed on Mondays and Tuesdays itself, so that we have other 5 days to do the aforementioned things.

Good! So, what I am thinking is to improve the leisure time which I get as well.
I feel like doing DSA, but also don't feel like it, it's weird. But I think it would be productive if we do it. So, DSA.
If you still get time after all of this, then get some nice burger, pizzas, cold drinks or something and watch a nice movie. You deserve it :)

- DSA.

So, combining all the list together:
- Foundational strength of DL and NLP. That we need to improve.
- Gen AI. That course will help, but knowing the syllabus, independent literature survey and experiments.
- Nielsen and Chuang QCQI.
- IRENA for updates and corresponding survey.
- "Valuation" by Aswath Damodaran.
- The Intelligent Investor, Benjamin Graham.
- ZTO.
- Building the MVP for the Fintech Idea.
- MTP.
- Attending classes.
- Revision of Lie Algebra.
- Readings of Parallel Algorithms.
- Revision of Boundary Integral Methods.
- DSA.

Now, I want to do all this in 6 days. I want Saturdays to be off. In Bangalore, they would be spent outing, going to clubs or something like that (Good for character development)

Ab time-table banana padega
So, Saturdays off. Leaves us with 6 days at hand.
Sunday | Monday Tuesday | Wednesday Thursday Friday

Mondays and Tuesdays are when I have classes. I should probably do MTP on Sunday, sem-work as well as MTP on Mondays and Tuesdays. That should complete any Sem stuff whatsoever by S/M/T
But somewhere you need to be smart enough to figure out ki MTP things need to be extended on a Friday night and some part of Saturday morning or not. But that is objectively what one needs to figure out week by week.

Sunday - MTP & Semester & 2 Hours ZTO
Monday - MTP & Semester & 1 Hour ZTO
Tuesday - MTP & Semester & 2 Hours ZTO

Now comes the hectic part. Let's see the list once again:
1. Foundational strength of DL and NLP. That we need to improve. [!!!]
2. Gen AI. That course will help, but knowing the syllabus, independent literature survey and experiments. [!!!]
3. Nielsen and Chuang QCQI. 
4. IRENA for updates and corresponding survey.
5. "Valuation" by Aswath Damodaran. [!!!]
6. The Intelligent Investor, Benjamin Graham.

Seems manageable to be honest. Put out 3 hours to read about 3,4,6 on WTF. The rest is what needs to be included in the schedule.
So, there is 1 major sub-area left. MVP Idea Foundational Knowledge (1,2,5)
Wednesday and Thursday can be allotted for 1 and 2.
Friday for 6.

Wednesday - Foundational Knowledge: GenAI & 2 Hours QCQI
Thursday - Foundational Knowledge: GenAI & 2 Hours IRENA
Friday - Foundational Knowledge: Finance & 2 Hours TII

But the deadlines need to be strict. I want the Foundation Knowledge to be completed till 31st Jan.

So, this will be the rough schedule till 31st Jan.

Sunday: MTP | Semester | ZTO
Monday: MTP | Semester | ZTO
Tuesday: MTP | Semester | ZTO
Wednesday: Foundational Knowledge: GenAI | QCQI
Thursday: Foundational Knowledge: GenAI | IRENA
Friday: Foundational Knowledge: Finance | TII
Saturday: OFF (and/or Leisure DSA)

Set the targets for each day the previous night before you sleep (the workload distribution would tend to vary each week)

So let's track:
pure "techy" foundational fields I want to be pursue. (CHECK)
"self-improvement" / "career growth" things I want to pursue. (CHECK)
- MVP & MTP things. (CHECK)
the semester stuff (CHECK)

Seems to be a decent schedule.

Monday, 22 January 2024

23/01/2024 - Tuesday

Targets hoping to achieve:
- Attentively attend the lectures and lab. Understand what you could not in the class today itself. Complete the assignments/tasks (if given) today itself.
- Read 'background subtraction', 'virtual and real drifts' and/or 'Fermi large area telescope (pulsar signals)' research paper in the found research papers.
- Complete the first chapter of Computer Vision through the referred book
- AI60201: Complete till Directed Graphical Models (ref: Prof. AM's slides)
- Complete 'Prefix and Partial Sums' M1W2
- 'Thinking fast and slow' for 30mins

Sunday, 21 January 2024

22/01/2024 - Monday

Targets hoping to achieve:
- Complete the BTP tasks today
- Attend the lab (if happens)
- Start Graphical and Generative Models for AI and ML
- Start Computer Vision
- Complete 'Prefix and Partial Sums' M1W2.
(From now on, start finding ideas everywhere. Write them down in some notebook)
- 'Thinking fast and slow' for at least 30min
- Watch something which improves your social sense

Targets achieved:
- Attended the lab.
- Researched some BTP related fields. Have some doubts in that.
- Found the resources for Graphical and Generative Models for AI and ML.

Hiatus for 5 days

I can't explain this.
Usually, if I procrastinate till 7.30 am, I tend to not work that day at all. It becomes very important to me to wake up early.
This is what happened from 17th to 21st Jan.
Maybe just stay disciplined with your early morning schedule, keep the rest flexible so as to suit your goals.
It is just that brief moment and 5 mins after that which you need to have control on, the rest of the routine goes on auto-pilot.

Tuesday, 16 January 2024

17/01/2024 - Wednesday

 Targets hoping to achieve:
- Attentively attend the lecture and understand what you could not in the class. Complete the tasks if given.
Find some related research paper(s) in the found research domain and extract the significance. Read the research paper and build implementation logic to improve the model.
-
Build a fundamental idea of what you want to achieve with the MVP.
- Find a resource for Computer Vision and start studying, complete at least the introduction part.
- Complete 'Prefix and Partial Sums' from AlgoZenith.
- Read one research paper from 'AI and Ethics' journal.
- Read the first chapter of 'AI: A Modern Approach' to get an idea of what AI is, and what it potentially could be.
- Read 'Rework' before you sleep.

 Targets achieved:
- Attentively attended the lecture and understand what you could not in the class

Monday, 15 January 2024

16/01/2024 - Tuesday

Targets hoping to achieve:
- Attentively attend the lectures and lab. Understand what you could not in the class today itself. Complete the assignments/tasks (if given) today itself.
- Meet (or email, if not present) Adway Mitra to request him to enroll me in the teams group of 'Graphical and Generative Models for AI and ML'.
- Find some related research paper(s) in the found research domain and extract the significance. Read the research paper and build implementation logic to improve the model
- Watch 1st lecture of Internet-of-Things
- Complete 'Prefix and Partial Sums' from AlgoZenith
- Subscribe to tech channels which give you updates about the tech world
- Read 'Rework' for 30min
- Read 'David and Goliath' for 30min

Targets I achieved:
- Attentively attended the lectures and lab. Completed all the tasks and homeworks.
- Emailed Adway Mitra for the request to join the Teams.
- Subscribed to tech channels for updates on tech.