Introduce yourself here!

Part 1 (2019)
141

Hello everyone, I am Sidd. I work as a NLP Research Scientist at Yahoo in Sunnyvale. Love to learn about the latest developments in deep learning especially computer vision. I have been following the previous versions of the courses and its great to see how fastai library has evolved. I attended the Pytorch developer conference few weeks back and was excited to see fastai library being ported to the major cloud platforms already. Looking forward to learn about the latest exciting things happening in the area from Jeremy.

And, I am applying transfer learning to hierarchical taxonomy based document classification problems :slight_smile:

142

Hello. I am Dmitriy from US, Washington DC area. I work on text search, text analytics and Machine Learning. I worked through parts of the previous version of the course, mostly related to text classification. Looking forward to learn more and get better understanding of fast.ai library

143

Hi @aakashns, I will go through your webinars. I was looking for something like this.

1 Like
144

Hello Everyone,

I am Amit. I work with Python & Java. I do not have any experience in ML or DL.
Looking forward to getting started with this course & learning with you all.

Best!

145

Hi, Santhosh from Bangalore. I have knowledge on ML/AI thanks to fastai and other online platform. Looking forwards for this live class to enhance my knowledge and understanding of the subject. Would love to apply learnings from here at work and future.

146

Iā€™m Murali Manohar, 4th year Computer Science Undergraduate student from India. Iā€™ve been working on ML and DL from past 2 years. During my research internship, I was told to work on Transfer Learning in NLP for Indic Languages, thatā€™s when Iā€™ve found Jeremy Howardā€™s ULMFit paper and his talk on the paper in fast.ai part 2 course. I worked primarily in NLP tasks like Word Sense Disambiguation, Shallow Parsing and Sequence Labeling. In Computer vision, I have worked on crash/accident detection in videos using a pipeline of VGGNet and LSTMs. From this course, I expect some new and unnoticed tweaking techniques published by unknown researchers to be taken up and introduced to the public. I want to get a grip on translating a research paper into code. As a part of my core project in 7th semester, Iā€™m working on alleviating the Visual QA system. I post whatever Iā€™ve done, on https://github.com/Murali81.

147

Hi! Iā€™m Antonio, from Mexico.
Iā€™m currently working for a strategy consulting company, doing a lot of financial projects, including ML models for financial institutions. Iā€™ve done the fast.ai v2 courses and looking forward to get a better understanding on DL in general!

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148

Hi, Brazilian economist here, doing quantitative analysis on financial markets for quite sometime, transitioned to a more traditional ML approach some years ago. Now looking forward to apply more DL on my projects, thanks for the course.

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149

You are awesome to follow on twitter. Keep up the great work! Do you do everything with GANs or are some of your art pieces done in the physical realm (I was going to call this real life, but that seemed to downplay the GAN Art)?

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150

Hi,
I am Setu from Singapore. I lead a team of Data Scientists here at one of the property portals. This is my third time doing the course and its super exciting to be part of it again.

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151

Hello Everyone,

I am Satish, a telecom consultant based out of Hyderabad, India. Had taken the previous version of the course along with Andrew Ngā€™s Deep learning course on Coursera. Am mostly into computer vision, as applicable to telecom( optical fibre splicing etc). Use Keras for my day to day work, but looking forward to learning the fastai framework and any new but obscure tricks and tips that Jeremy keeps fishing out.

152

Hey everyone, Iā€™m Roberta from MontrĆ©al. Iā€™m making a career switch to Data Science. Iā€™m interested in NLP as I have a background in languages and text processing, but Iā€™m still exploring a lot of different deep learning applications at the moment. I also co-founded a talent incubator here in MontrĆ©al for self-directed learners in programming (Les Pitonneux), we have a 12-week ā€œun-bootcampā€ program called LAB12. Itā€™s a peer-to-peer, project-based, collaborative learning program in the form of learning circles rather than classes and works well in combo with online learning. We also host lots of Coffee & Code sessions, 2-3 a week. Today I found out that thereā€™s a Meetup group in MontrĆ©al of people following fast.ai, they were meeting today but I couldnā€™t make it, hope to join at a next session :slight_smile:

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153

Hi everyone, I am Mujtaba from Pakistan, I am an electrical engineer and that is my day job.
I have completed the deeplearing.ai specialization offered at Coursera.
I will like to participate in a few kaggle competitions and understand how to use deeplearning with diverse datasets, effectively.

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154

Hi, I am Ritika Agarwal. I am very excited to be a part of this course. I am working as Machine Learning engineer in BFSI domain. I am very much interested to learn about the latest developments in deep learning especially in computer vision. I have been following the previous versions of the courses and loved the amount of knowledge we get through this forum and its great to see how fastai library has evolved. I wish to contribute back as well along the way.
Thank you @jeremy for creating the fastai v1 packages

Thanks,
Ritika Agarwal

155

Gā€™day from Australia. I am a self taught analytics nut. My day job involves computer infrastructure. My night time involves statistics, ML and DL. I am currently analysing a paper that involves betting strategies on football games. Interestingly the authors did not use ML to gain an edge. They used statistics to identify signals which led to paper trading and eventually betting in real life. Iā€™m writing a blog post on the paper and may look for better strategies with ML/DL. Iā€™ve also been focused on learning model-agnostic interpretable ML/DL methods.

Peter

156

ah thank you - my work always starts in the analog worldā€¦ iā€™m a practitioner, realist and craftswoman through and through :slight_smile:in fact next step is to take the GAN outputs back to real life - experimenting with prints, clay and glass :slight_smile:

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157

Hi, I am Martin, in Toronto. I have a background in math and Iā€™ve been working as data scientist for 4 years, after a 2 years postdoc analyzing fMRI data. I mostly develop predictive models using ML. I am interested in understanding better how DL works, and specially how to be efficient at training NNs with GPUs.
I am very excited to start this course and very grateful to the creators of this unique content.
Thank you!

158

Hello, I am Xavier. Right now I am working in Masters, focusing on bayesian methods. I am currently in Montreal. I am really excited to start this course and thanks so much fast,ai crowd for making the course available and free.

159

Hi everybody!
I am Harry from Austria. I work for a small company where I do geoinformatics an DL in the GIS & remote sensing area. We work a lot with drone/aerial/satellite imagery. Since one year we are using tensorflow for object detect and since recently fastai for image classification in several projects.

I did the previous fastai Part1 and parts of Part2 and was blown away by the quality of the course and the library itself. I am very keen on applying the new fastai_v1 library for object detection and tabular data/time series analysis.

@jeremy: Thank you for opening up this course to everyone! I am excited about the new material and to be part of this awesome DL community :sunny:

Cheers,
Harry

2 Likes
160

Hi everyone! I am an undergrad student at Caldwell University. With interest in AI/ML, I have been reading papers and building projects on my own. However, I hope to accelerate my learning curve through this program. Here is a brief view of my works, www.bigyankarki.com.