Introduce yourself here

Thank you… I will try it out. If I can learn and be able test out what I am thinking that will be great… I will keep you posted…

Best

Hi Everyone,

My name is Sanath. I am a high school Junior. I have been trying to learn ML and DL using fast.ai and various youtube tutorials (lol we love youtube :wink: ). I really want to gain real life experience in applying ML and DL to solve actual problems and hope to find other people with the same interest to work together with. If anyone has tips or opportunities they could recommend it would be greatly appreciated.

Thanks to Jermey for making it free and easy to access courses about ML.

Sanath

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Look for problems to solve around you. It’s a good start. I am going through the same process. I was trying the find ‘‘THE’’ impact project …but really start with a small project to build your confidence and then move to the next one

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Hello! My name is Deepshika Sharma. I am in the beginning stages of my deep learning journey. I’m interested in applying ML/DL to the fields of Economics & Finance. Thank you to everyone at fast.ai who made this such a wonderful learning resource. Excited to learn through creating projects and deploying models!

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Hello Deep Learning Practitioners,

My name is Darren. I am brand new to this stuff - although I have done a small bit of Python3 but for the most part, its all new.
I was doing a Coursera course with Andrew Ng but I simply could not grasp all of the math. Some of it made sense. Some of it is actually helpful, like seeing sigmoid functions and going “oh I know what that is!”. Most of it was Greek.
I may return to that course at some point. However, what I really like is fast.ai. These functions are fantastic! And the whole idea of ‘transfer learning’, now that is amazing - at least to me.
It shows me how this field is evolving. I hope to be a part of it…some day.
For now I am going through Jeremy’s material at super-turtle speed. There is alot to cover but I am hopeful I can get through the book by the summer, perhaps.

I plan on doing a guitar effects pedal emulator. Similar to this…https://teddykoker.com/2020/05/deep-learning-for-guitar-effect-emulation/ .

I think that would be really cool. Let me ask if anyone knows how one would go about doing this in fast.ai?
For example, do we have any good tweaks for audio?

I can certainly use the same sources as the previous author. But I am keen to use fast.ai mainly because I like the idea of doing things efficiently.
Let me know if you do know of any good references or developments.

Thanks Guys and Gals,
Hope to talk to you all!
-Darren

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Welcome DCHESS hope all is well!

Here’s a couple of links to help you begin your quest! :smiley:


Cheers mrfabulous1 :smiley: :smiley:

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Hello fast.ai community.
I am happy that I can be a part of machine learning history. :slight_smile:

I have a little bit of experience with computers and python, but nothing serious, I just like the topic.

I rarely join any discussions, so probably I’ll be just another lurker with a lot of questions and search results.

Happy to be here.

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Hello, I have some experience of training deep learning models.

In order to further my experience, I’m looking to add location information to my images in order to improve my models accuracy. I don’t seem to be able to find anything online though.

Does anybody have information on this, please?

Posted a reply to see if I can open a new topic. Don’t know what’s the reason.

Hi all! I’m a director of customer success working with large-scale customer experience design projects and platforms to support the same.

I don’t do Twitter or most other social media but I’m looking forward to pushing the cutting edge of neural networks a bit further in some niche areas of text analytics.

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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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