Introduce yourself here

You’re web looks interesting.
:smiley: :smiley:

Hi Everyone,

I am a professional programmer with minimal experience in MLAI. So, far I found most courses and tools inadequate. I like fast.ai because of the practical approach taken by the course makers. Let us see how it goes.

My ultimate goal is to come up with solutions for better predictive modelling for agriculture. Hopefully enabling more efficient crop cycles.

Looking forward to practical applications and broader horizons.

Cheers!
Diggvijay

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Hi Everyone,

My name is Tom with a background in statistics. I currently work as a data scientist in the Finance industry and am going through the Fast AI course to continue my learning. I have done several other courses on Deep Learning and Machine Learning before but they tend to be too theoretical and less applied for me. I thought the Fast AI was awesome and going to keep going through course work.

Tom

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Hi everyone,

I am Edwin with some background in mathematics. Currently, I work for a fintech startup doing data work. I am fascinated by how powerful and efficient fast.ai is, and I hope to study the fast.ai course as a starting point to break into data science. Very happy to join the community.

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Hello Everyone,

I am Venky (Vyankatesh Rege) and new to this forum. I have just started going through fastai-v2 this week.

I am based out of India and my background is ETL and Data Engineering. I have taken some courses over past few years in AI/ML but as Jeremy mentioned in his videos, the theoretical knowledge gets lost without practice. So, planning to do it the other way and see the benefits myself. Since my role is managerial and I don’t code regularly, it will definitely take some effort to learn and implement but feedback from some senior members on old fastai forums etc was very encouraging. Options like gradient are super helpful as well, already opened an account there and ran basic cat vs dog images code from first jupyter notebook.

Happy to start this journey !!!

Anyone who has done the course recently, if you have some tips on time to be spent per week and how long it takes, what practices helped you stay on course to complete the course will be extremely helpful. If there is any existing thread on the “best practices” of sorts, please point me there as well.

Thanks,
Venky

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Hi Venky, welcome to the community!

I found this post very helpful: How to do fastai - Study plans & Learning strategies

The template for note-taking is great, I absolutely recommend it.

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Hi vbrege Welcome!

I agree with johannesstutz

There are also one or two good resources for improving your Python skills on the link below.

Cheers mrfabulous1 :smiley: :smiley:

Awesome !!! Thanks a lot for these great tips @mrfabulous1 and @johannesstutz…I am looking through these resources rightaway.

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Hi all,
I’m Eyal. Very happy to join this wonderful community.
I think to teach Part 1 in a college in Israel (in Hebrew) and to use fast.ai’s resources. So, I wonder, what are the copyrights? Can I do this?
This website, project, is impressive, and I think it has everything a person wants to start to dive into DL need. So, I wouldn’t change anything. This is why I want to use this community and resources to teach young students in Israel.
Is anyone can help?
Thanks and best,
Eyal.
https://www.linkedin.com/in/eyal-ben-zion/

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Hey Eyal, welcome to the community! It is totally fine to use fastai’s resources to teach a class especially if you are contributing back by converting the materials into another language. I think the main thing is to just give credit to fastai. I think @chansung18 has taught a course or translated some materials so he might have some tips on this as well :slight_smile:

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muellerzr aka Zachary Mueller teaches classes as well - see

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Hello, my name is Avi, and I wanna make cool stuff with weighted sums.

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Hey guys. Just started on the course, and after watching Jeremy’s recent video I have decided I will be blogging my progress. I am not using fastpages as I already made a blog while learning Python so thought it would be nice to actually use it.

Here is the first post: Peter’s Blog (ptear-blog.herokuapp.com).

I will make a post eventually but I don’t think I can right now as a new member.

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Hello everyone!
Been following the course and community for the last 3 months or so and taken full advantage of the hands-on teaching method the fast.ai espouses so well.
Naïvely, I signed up for the FSDL from Berkeley thinking they also taught DL there, only to find out that the emphasis was on full-stack as opposed to deep learning, so I had to learn fast and on the fly. I must say, so far the adventure has been equally challenging and satisfying :sunglasses:.
My project, done totally in fastai, and deployed to the web as a streamlit app is here : http://bcnconfidential.net:8501. This is only the beginning, and I look forward to learning and helping out.
Cheers!

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You should be able to create a post fairly quickly. It’s a pretty low barrier if I remember correctly. Maybe like 15 minutes of reading or something?

Hello, I am Shreyas. I am from India.

I am from a non STEM background, but am really interested in deep learning and machine learning in general. Although I don’t have a mathematical background, I am willing to learn. I find it oddly interesting :grin:. I recently learned a bit of python on my own and it literally feels like a superpower. It opens up a plethora of interesting things to try out!

I am planning on taking up a distant learning degree i.e. B.Sc in data science and programming in the near future.

A big motivating factor for me taking up this course was @jeremy. His journey is inspiring for me as even he is from a non technical background.

I am a finance student (currently specialising in financial risk management) and I’m interested in financial applications of deep learning and I am curious as to how I can use DL to make people’s financial lives better!

This is my twitter handle @ishreyas2000.

I am grateful to @jeremy for providing all these resource for us to learn!

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Yes I’ve posted now. Thanks

Hi there. I’m fairly young (which will make some of the math concepts hard), and on lesson 4. Before this I’ve been working on learning some Vue, Git, and a Vivaldi Modding project. The fastai is a bit daunting and might take me a while, but I’ll get there. I like the teaching style, even if the lessons are long. As much as I can I try to test the different variables and do other things that aren’t written into the notebook.

I am also better at JS than Python. I would like to be able to port the ML models onto Tensorflow JS and run them in the browser, as a final project. I may get another idea, but I am thinking of making a detector of JS tracking scripts, and making a UI with Vue.

I don’t use twitter but will share my fastpages blog.

I don’t really like this forum software compared to NodeBB, but I guess I will figure it out. I do wonder, why is there no “Chit-Chat” category on this forum? Everything I’ve seen seems to be talking about ML.

Edit: Of course, thank you for making this course!
Edit: Yipee, I’m Basic! What an honor!
image

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Hi there!

I’m Tomasz from Poland.

My story:

When I was a 13 years old boy, I read the book “The God Particle: If the Universe Is the Answer, What Is the Question?” by Leon Lederman. This made me decide to become a theoretical physicist and discover something very fundamental about our Universe when I grow up. In high school, Richard Feynman was my hero.

I didn’t have my first doubts that this is what I want to do with my life, until about half a year after I actually started studying physics at university. Something didn’t feel quite right. Initially, I trusted this institution that they will prepare me to become a great scientist but it looked like we were focusing on wrong things (e.g. how to manually calculate integrals and solve differential equations, really?).

2 years later, my presentiment was strongly confirmed. I began seeing many of my older friends (who also wanted to be become scientists) getting mental health problems (depression and anxiety) during their PhD programs and eventually leaving the academia. They were moving mainly to programming and machine learning. After the transition, their lives drastically changed for the better.

My future started looking scary, so I decided to skip the step of being disappointed (or much worse) by a mediocre PhD program and go to data science directly. After obtaining my BSc in mathematics, I followed instructions from quora answer to question “how to become a data scientist?” and found my first job. And here I am, developing a recommendation system for Polish TV.

Recently, I read the fastbook (as you can guess the “without a PhD” part of the subtitle is near and dear to my heart!) and now I’m finally getting actually really interested in AI! I love how much can be done with very little resources (especially time and data) thanks to transfer learning and this brilliant idea to brazenly transform problems from various domains to image classification and use transfer learning from there! Also, the whole game approach is very refreshing for me :slight_smile:

I joined the fast.ai course and I’m in the process of up-leveling my AI skills. I’m also very excited about the startup course recently announced by @jeremy :slight_smile:

Thanks Jeremy!

Edit: my twitter: @tgrykias

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Hi all, very late entry into the course, but my name is Robert. I’m studying Computer Science and cybersecurity at Carleton University in Canada, and I’m still relatively new to DL. I’ve taken the first couple modules of the course a couple of times, but I still wasn’t entirely sure how to make a production-ready model that I could actually deploy to the web, so I scrapped it and focused on university for a while. Now, though, I have the knowledge to make and deploy a web-server, and I’ve been through multiple online courses so I can finally tackle this course in its entirety!

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