Sourabh is a software engineer interested in Machine Learning and Data Infrastructure. Prior to his current role he has had several engineering roles at Google Brain working on Tensorflow, at Coursera working on data and ML infrastructure and at Neeva. He obtained a M.S. in Machine Learning from Georgia Tech and got a B. Tech in Engineering from BITS Pilani.
This is a great class! The rewards you can obtain are also proportional to how much time and effort you can devote to the projects. I learned a lot with the projects, interacting in the slack community, and through the links to documentation and other resources provided. It is definitely worth the effort!
Having the opportunity to learn from other peers in the industry and the fabulous instructors was priceless. Their willingness to go the extra mile and immerse themselves with the cohort upon their work and life commitments was unmatched!
I can't say enough good things about this class! The content was fantastic, but the course format and support was also unlike any online class I've taken. The lectures, work sessions, office hours, online communities, guest speakers, and deadlines all helped me learn more material faster than any Udemy, Coursera, etc. experience I've had. The CoRise team is amazing at creating a community of practice where you can ask any question and get a thoughtful response back immediately from TAs (or even classmates).
It is hard to believe how much I have learned in the span of a month. I was able to take my theoretical knowledge and convolve it with applied experience through the CoRise course. I feel more confident in building my own deep learning architecture, and appreciate the reference to the material through the course and access to mentors. The CoRise course takes you to the cutting edge of knowledge. Highly recommend.
Absolutely stoked to share this! Over the last month I had the pleasure of learning from some of the great minds coming out of Facebook, Google, and other enterprises doing bleeding edge work in Machine Learning and Natural Language Processing. Being part of a select cohort spanning three continents I was able to hear about initiatives and research from AI/ML professionals around the globe. NLP is a fast emerging sector that is changing the landscape of software everywhere you look. I'm so honored to be part of this experience and am taking away so many great connections and insights in a field that I really love.
The co:rise NLP course has been the most efficient way I've ever learned new skills. Having access to talented instructors and peers made the learning process both quicker and richer.
You will go from zero to MLhero with this course. A lot of concepts clicked for me with this training, we went beyond the classic reading and blog post and got really into the weeds and ins-and-outs of the different topics.
This course is a great way to familiarize yourself with state-of-the-art NLP techniques. You will go from building skip-gram models to classify emotions to text-prediction with transformers in 4 weeks.
I really enjoyed the course and the community around it. I think it was a great way to not only learn about NLP, but also connect with other engineers in the field.
An exceptional opportunity for motivated students. You will gain broad awareness and practical experience using state-of-the-art NLP techniques that can get you up to speed in this fast-moving field. The mentorship available to students is unparalleled.
I really appreciated the NLP course. I feel like every aspect of the course, from the work Judy did creating community, managing slack, and making sure we were all taken care of, to the instruction and support from Sourabh and Kaushik. I learned so much in this course, and had a great time learning from my fellow participants as well. I've finished this course feeling like I have a solid footing to move forward with NLP applications in the future. Thanks!
This course gives you a great overview of modern NLP techniques in just 4 weeks. But more importantly, you learn from people who use it in very big real life projects and have a change to get knowledge that wouldn't be available in a blog post