Hello fast.ai,
I am a medical transcriptionist by profession from Odisha, India, now staying in Hyderabad, India. Since last 2 and half years, I am learning machine learning and deep learning through MOOCs. I have done some online courses. I have done Machine Learning and Deep Learning courses from Coursera by Prof. Andrew Ng. I have watched some videos of fast.ai and those are very good. Though, Deep Learning by Prof. Andrew Ng is theoritically very good, practically it was difficult for me, but fast.ai videos what I have watched are very good in both ways. I want to make career in machine learning and deep learning, thatās why I want to join this course.
I would like to thank @jeremy, @rachel, and fast.ai team for making such a wonderful course and making it available for free.
Well, only me so far the Indonesian since the last fast.ai session.
I go together with one Chinese guy here in Shanghai from the last session but never meet any Indonesian here before (perhaps theyāre too shy, haha). In my last visit back home, Gojek arranges AI learning session use fast.ai material, I donāt think they do it consistently though, or anyone there continues here in fast.ai forum (sadly).
Wah itās awesome to back home, Iām still stuck here until next year I guess sir, nevertheless, Iām sending you PM, please check
Iām Fadhli. Currently living in London. Worked at a telecommunication company in Malaysia for a while doing data science and analysis. Decided to come to UK to be closer to my wife (sheās studying in London). Picked up machine learning 2-3 years before and want to get into deep learning. Most experiences in deep learning was through watching fastai v2 videos and several kaggle competition. Hoping to get get much more knowledge in this area.
Hi, my name is Henri and I am from the Netherlands. Very excited to join. I played around with ML in the last year and want to deepen my understanding.
Hi all, I started learning about ML and DL over a year ago, and I completed the DL course from Coursera by Andrew Ng. I got really excited about this field, so I just started pursuing a Master degree in Data Science this fall. The school, however, does not really teach much about DL, and only PhD students here talk about that topic. So I am excited to learn more about DL through this course. I have been following Rachel and Jeremy for a year. You guys are definitely my role models.
Hi all, my name is Andrew. Iām a data scientist in the SF Bay Area, and my background is in psychology and machine learning. Iām interested in DL for its applications in NLP and speech classification. Looking forward to learning with you all!
William:
Thanks for the work on the Kaggle Kernels! It was great way to run some of the Fast.ai lessons (so painless). I know that Jeremy encourages students to enter (and discuss) their Kaggle exercises, so I am looking forward to seeing what your are doing (and sharing with you what I have been up to) on Kaggle during this course. (Iām presently working on the LSST competition if anybody wants to team with me on it. But I am not sure if I want any āHorton hears a Whoā type team names. )
Again, thanks for all the work you did!
Allan
I am Urvish Patel from Ahmedabad, India. I have been in machine learning and AI for more than a year. I have worked as intern at Villa-Tech Inc on development of real world computer vision software. I have done another internship at Pirimid Fintech and worked on financial problems. Currently, I am working at Pirimid Fintech again and soon join the company as a full-time time machine learning engineer. I have sound knowledge of machine learning and deep learning. Through this course I am hoping to expand my knowledge to an expert level in DL. Specially, I am looking for some research projects to do. I want to apply Deep RL to solve some real world problems.
Hope to have a great time learning with everyone here. Have a great time.
Andres here, based in Alicante, Spain. Doing DL competitions for the most part (finished #4 in Didi/Udacity self-driving one, having fun on Kaggle too). Professionally I am using DL in my current company Fixr.com for adwords optimization.
I love the Fast.ai philosophy at many levels and I think it is a privilege to be able to attend these lessons.
Yay ! Glad to be back here. Looking forward to attend the V3 lessons.
Iām a software developer during the day, currently working at a bioinformatics startup, where we process (bacterial) genomic data, with an overall goal to reduce/slow down the rise of antibiotic resistance.
Iām looking forward to digging deeper into the fastai library as well as PyTorch this year, and reading up on the papers alongside.
One of my goals would be to build models on genomic data as a practical use case, and compare it with the contemporary bioinformatic algorithms to see if we can exploit DL/ML to yield better results.
(So, if youāre an expert on genomics / fasta/fastq files / bioinformatics, please ping me, it would be fun to collaborate.)
Looking forward to the lectures and the information overload in the forums here.
Cheers.
Back for a 3rd time, Did both parts 1 and was lucky enough to do part 2 (sometimes in SF). Been away from Data Science while trying to make a living, but also building my datasets. Iām really glad to see the breadth of the students in here. For you first-timers, get ready for a fire hose of information in each class, for you veterans, welcome back!
Hi, my nameās Adam, from Israel, currently doing a PhD in computational neuroscience. The lectures from the previous courses were super helpful for me, learned many many new tricks and ideas about NN, python, PyTorch, optimisation and whatnot. Really enjoyed the differences between v1 and v2 - amazing how fast things evolveā¦ eager to see this also in part 3.
I was here for fastai v2 p1 & p2 and really excited to be back for v3! Its so great to already see a lot of friendly faces here!! I am looking forward to working with all of you again and getting to know all the newcomers.
Iām an entrepreneur at heart with no formal CS degree and no coding experience prior to learning Python & DL back when I first started watching fastai v1 MOOC videos on youtube. It was this incredible course that got me 100% hooked on deep learning and before I knew it I was in multiple Kaggle comps and taking on interesting projects. I havenāt looked back since.
For around the past year now, I teamed up with some other fastai students doing deep learning FULL-TIME as freelancers. We have a few steady/long-term clients and are mostly using convnets to solve a range of computer vision problems including medical applications such as skin cancer detection & GI pathologies as well as video analytics (object detection/localization/tracking). Btw, if anyone here is interested in doing paid freelance work using deep learning feel free to reach out to me
Its safe to say that everything I have gained today is all thanks to this amazing course, it completely changed my life for the better, so a huge THANK YOU to @jeremy and @rachel !!
)
