My name is Bart, and I work as a data scientist in Amsterdam. I’ve watched a lot of the lectures of the previous iteration and really liked them, so now I want to start fresh and actively follow the course instead of just watching videos.
My goal is to get more experience actually applying state-of-the art methods on real problems. I usually encounter problems where training data is limited, so I’m especially excited about the possibilities of transfer learning and different ways to learn from unlabeled data, both in NLP and Computer Vision.
My name is Alex and I am a senior machine learning engineer in Hong Kong. My main focus in work and research is vision, but I’m also interested in other area as well.
My background is a physicist, back in those days, we had lots of molecule simulation data coming in and I became interested in analysing the data automatically with ML methods such as clustering and SVM. It’s been wonderful that the field is growing so fast, we keep having more useful algos and hardwares and data.
The 0.x versions of Fast.ai and PyTorch has already helped my work greatly. I’m truly thankful, and excited to learn what the new versions bring. Right now I feel like tomorrow is World Cup final or Super Bowl!
Greetings from Bulgaria! My name is Stan and I’m an iOS developer. I got some ML & Data science courses in the last year and ready to dive in DL with fastai. It is a great honour for me to participate in this course with the great community. Thank you @jeremy & @rachel for the opportunity!
Hi folks,
I am Wael Rashwan, a Data Scientist at CeADAR- Centre for Applied Data Analytics and Machine Intelligence- Dublin, Ireland. I hold a PhD in Operations Research and Optimisation from Dublin Institute of Technology, Ireland and MSc in Optimisation from Cairo University. I have several years of industrial experience and led several projects in different sectors agriculture, insurance and healthcare in both Egypt and Ireland. I am also an active researcher in developing solutions and theories to support and address decision making in uncertain and complex environments. My particular research interests include Machine Learning, Prescriptive Analytics, Simulation, Optimisation, Healthcare Innovation and Smart Hospitals.
In CeADAR, we are running a project in deep learning with application in agricultural sector. The project envisages predicting quality metrics of grass to optimise the silage production process. The data collected using RGB and NIR images. I believe that I will get a great experience from Joining fast.ai Course. Thanks for the @fast.ai team and special thanks to @jeremy and @rachel.
I am Sasikanth, working as python developer in a large IT company in Bangalore, India.I am very excited about the possibilities of solving interesting problems using ML, Deep Learning and broadly AI. Looking forward to learn as much as possible from Fast AI live and interact with my fellow participants.Many thanks to @Jeremy,@rachel and fastai for the opportunity.
Hey there!
My name is Pavel. I’m taking an Erasmus course in Portugal at the moment, but actually I’m studying Master’s in Poland, and I am originally from Belarus.
I used to develop computer games, and now I’m learning data science. I would probably try to merge both the fields.
Nice to meet you all
Hi Andrei!
As a person from Belarus I cannot agree with you.
Belarusian language is not dying, I would even say that it’s making more and more popular among young, they still teach belarusian at school. Yes, only 5% of people use it in everyday life, but it still exists and will exist.
But as a person who always speaks Belarusian I appreciate your willing to spread it. And your idea of creating belarusian fairy-tales is cool. Thank you
And nice to meet you!
Paul here, from Manhattan. I’m trained in the sciences and used machine learning for a long while now, longer than I’ll admit in this thread. I only got serious with deep learning since Jeremy and Rachel kindly opened up the first version of this course and demonstrated what could be done with the state of the art ideas, which often lived outside of publications. I want to get a more practical understanding of the fastai library internal structure and strengthen my empirical knowledge of how to get things done with fastai and pytorch. I also want to learn how to better communicate the high level ideas to audiences that are not well versed in this subject. I am working on drug discovery and the low hanging fruit for AI in this field are innumerable. I am looking forward to tonight.
Hi Everyone, I am Shivansh Mundra from IIT KGP, India. I have presented two abstract paper at ECCV and EMNLP. One of them using the transfer learning in NLP technique ULMFiT by Jeremy and Sebastian. I am very much excited to be part of this community. Currently working on intersection of Computer Vision and Reinforcement Learning.
I am Suresh from Bangalore (India) I am into Product management. Looking ways to automate things using ML/AI different enterprise business cases. I have been doing my hands dirty with whatever interesting data I came across for last 5 years. with ML. Of late I have been trying my hands with image processing & NLP… Attended some meetups on fast.ai in Bangalore. Went through Jeremy’s blogs and videos on fast.ai. I want to do follow Jeremy’s new sessions in organized way and keep upto date myself.
Looking forward to interesting discussions and learning from everyone and sharing my understandings…
Greetings from the Seattle area. I can’t wait for this course to start this evening. I have been stuck on an extended jury and haven’t had much time to do much of anything these past few months. I spent yesterday configuring my local server running a clean install of Ubuntu 18.04, with an nvme drive and two GTX 1080ti cards at the ready. I ran through the lesson 1 notebook last night and everything seems to be working. I know my cards are old, but would like to see how much speed I can get out of them in both single and parallel processing if possible. I will post some benchmarks as we go along so the forum can get a feel for how things compare at the hardware level to other local installs and the cloud providers. Perhaps next year I will upgrade to RTX cards if job prospects in this field pan out. I could really use a change to something more exciting and cutting edge. Thanks again to fastai for letting me participate.
Hi everyone. I am an economist working on ML problems and trying to enter the NLP field. I have watched v1 of the DL as well as the ML courses on fast.ai, which I enjoyed very much. I am based in Stockholm, Sweden, so still trying to figure out if it will be possible to re-watch recorded classes as I am not sure how staying up till 4am will work for me
IT guy from East Bay. Have some basic understanding of AI. - but not very deep :-). Very curious about Deep Learning (and AI in general). Hence my desire to get into this course from fast ai. Thank you Jeremy and Rachel for making this available.
Hi folks!
I am Karan from India (Bengaluru).
I am 2018 B.tech graduate and working as machine learning engineer. I have done work on CV and now working in NLP. From a llong time I wanted to take this course and I will. As there are people with Ph.D, It would be great learning process from all talented peers.
I’m José from Argentina. I’m a systems engineer and for the last year I have been learning about AI. I completed few courses, including Andrew Ng’s ML and DL, Udacity ML Nanodegree and Fastai part 1 v2 (mooc). I see a lot of potential for deep learning in the agriculture sector, specially in developing countries, and I’d love to help solving some of its problems.
Thank you @jeremy and @rachel for these incredible courses and the motivation you transmit!
I don’t recall seeing any Sudanese folks on the forum before - so a special welcome to you! I hope you can find some more people from your part of the world to join…
I hope you can find some more people from your part of the world to join…