Hi all, I am Remco, from the Netherlands, IT Architect working in projects related to offshore (shipping, coastguard, windmills on sea etc). Old school AI student (+20 years ago). I did some AI related projects and followed/saw previous versions of the course. Happy to join and work and learn together on this new version. Love the energy and progress!
Hey, I am Saurabh Ghanekar aka Dexter from India. I am a sophomore student pursuing Bachelorās Degree in Computer Science. I am AI researcher at Next Tech Lab, a student run research lab where I work on Reinforcement Learning as well as conventional supervised learning.
Hello everyone. My name is Martijn and I am from the Netherlands. I am a big fan of Jeremy. I followed the fast.ai course v2 and looking forward to the new version. I really like the top-down approach.
I hope that I will get a solid knowledge about of the deeplearning field and someday become a data scientist.
I just installed Ubuntu, letās start with this course!! 
Hey Adrian ! We have a big group of students in Timisoara 
. Weāll have in person study groups every week and you are very welcome to join us if you want!
Francesco, from Italy. Enterpreneur in the Analytics field, co-fouder of Quantyca and Blindata.
Hi everyone, I am Kush Kulshrestha from India. I currently work as a consultant for an Investment Management client handling some statistical financial risk models. In the past, I have experience on small scale Machine Learning systems and have worked on some medical image classification problems. I am here to understand and learn making large scale ML/DL systems and to train them efficiently in terms of both memory and time. Looking forward to connect with the community.
Hey everyone! Good to see a lot of participation from India. Happy Learning DL.
Hi Walter here from The Hague, The Netherlands. IT veteran for many years. Restlessness with gradual move into more āhigh levelā work triggered going āback to schoolā, using Coursera / Udacity. I took both Andrew Ngās specialisations. While reluctant and slow going at first, I really got into learning again, and since developed a serious appetite for more ;-). Inspired by the prospect of further discoveries in ML (and related areas) I resolved to understand recent tools & concepts and to become much faster at experimentation myself.
Really looking forward to this course.
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Hi everyone, Iām Stefano from Italy: coder and entrepreneur. Iāve been following fast.ai since the beginning and canāt wait to start the new course.
If you didnāt see it take a look at Jeremyās 2014 TED talk.
Thatās the talk that get me into fast.ai.
Hi Everyone, I am Krishna from Mumbai, India. I work as an Enterprise Architect for an IT services company, with primary focus on IT strategy, governance and system integration. I have done MITās MOOC on AI, both of Dr. Andrew Ngās courses on ML and DL and both parts of 2017 and 2018 versions of fast.ai MOOC. I am looking forward to the v3 journey and also hope to muster enough grounding and insights by being part of this forum, to undertake digital transformation initiatives in futureā¦
Hi Everyone, my name is Peter and i come from Slovakia. Now i Live in ZĆ¼rich - Swizerland. Iām working as a Tech Consultant helping Inssurance Companies to integrate new Backoffice Sofware. I love to explore new things and I belive as well that DL and ML is our future, thatās why Iām interesting in this course. I have never been working as a SoftwareDeveloper in company, but I had few smal own programing projetcs.
Hi
Iām Sundar, I have been working as a Data Engineer in IQVIA for the past 5+ years. Bangalore presents a great opportunity for community based learning. Regular participant of [AI6-Bangalore ]. Looking forward to participate, learn from all of you
Hi everyone, Iām Joe from Brighton in the UK, working in London.
I discovered the fastai v1 course a year ago and loved it - I loved the approach and thought Jeremy did an amazing job focusing on just what was needed at just the right points, and cutting through the complexity. Having dipped in to part 1 and 2 of the DL course for a year Iām really looking forward to systematically following the course.
Iām getting back into this area after having done some vision and physics based AI in the late 90ās early 2000ās. I worked in a startup using physics and NNās in the early 00ās called naturalmotion which did this walking kind of thing in 2000: https://www.youtube.com/watch?v=JFJkpVWTQVM , which google deepmind have picked up and extended. Everything back then was hand coded, bottom up in C++ , Iām simply blown away now with what you can do now with a handful of lines of code.
Iām really interested in being applying ML to domains Iāve worked in other interest areas, and Iād love to collaborate on something. Iāve worked in computer vision, film special effects, radar system signal processing and design, and wireless telecoms. Iām also really interested in audio and music comprehension side of things, and sensing - whether image based or wireless IoT type stuff.
A work project Iām progressing is applying deep learning to modulation recognition - the problem of sensing the wireless environment and classifying what you see- whether it is broadcast TV, 2G, 3G, 4G, Wifi, satellite communications etc that you are picking up.
Looking forwrd to following along the course with you all. thanks so much to Jeremy, Rachel and everyone else whoās helping out with this effort.
Joe
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Hi everyone,
I am Alessa from Romania, currently working in Belgium. I work as a researcher at University of Mons and I do volunteer for preventing HIV Grade 2 in poor developed countries. My background is from Signal Processing and I had some basic machine learning classes/projects many years ago. Everything that I know about DL, AI it is self-taught due to fast.ai platform, cs231n online class and other blogs, forums. 
I discovered fast.ai last year - and I felt in love with the approach, the community and the teachers. I am really interested to apply AI and ML to projects that have an impact on the world. My biggest focus for this year is to find projects where I can apply these skills and to teach to others, of course - because I really need outer-accountability to make use of all the motivation, ambition and enthusiasm that are within me 
Looking forward to this course and thank you for everyone who makes it happen. I am really grateful for knowing you guys 
and extremely excited for this new class 
Aless
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Deb here currently working as data scientist and want to improve and learn on deep learning area.
Hello,
I am Dusan, I am finishing my Masterās in CS while working as a C++ 3D Graphics developer. The topic of my thesis Exploring Uncertainty in Deep Learning Models particularly in medical applications (landmark detection, object detection).
Thank you to Jeremy, Rachel and everyone else who helped create this wonderful course. I wish everybody a satisfying learning journey :).
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I work as an investment portfolio manager for a small, US-based insurance company. I recently earned a masterās degree related to data science b/c I wanted to improve my employability in my local area. I also think I might be passably decent at ML and DL. fast.ai caught my attention for its focus on practical implementations over theoretical constructs.
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Very interesting! What are your hypotheses?
Hi,
I am Cahya from Indonesia, but I live in Vienna, Austria. I work in a small organisation as system/software engineer and learn ML since 3 years. looking forward to the course.
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My hypotheses are around anomalies and financial fraud. I believe that supervised machine learning based prediction is useless when it comes to fraud detection. This is because fraudsters are always looking to break away from previous patterns, where supervised learning is trying to fit a prediction to those patterns. So while the predictions may be technically correct, they are useless when it comes to fighting fraud or financial crime as the fraudsters have already found new patterns or they have deviated signficantly from earlier patterns. I am trying to evaluate semi-supervised (somewhat like GraphSAGE) or other approaches to be a step ahead of fraudsters.
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