Join the TWIML Community!
Welcome to the TWIML Community
The TWIML Community is a global network of machine learning, deep learning and AI practitioners and enthusiasts.
We organize ongoing educational programs including study groups for several popular ML/AI courses such as Fast.ai Deep Learning, Machine learning and NLP, Stanford CS224N, Deeplearning.ai and more. We also host several special interest groups focused on topics like Swift for Tensorflow, and competing in Kaggle competitions.
When you join the Community you’ll be invited to our active Slack, where members exchange info, tips, ideas and assistance. You can participate in any of our programs by joining the appropriate Slack channel. Please keep in mind our TWIML Values & Guidelines and our Slack Community Code of Conduct when you join our Community – we’re excited you’re here!
Please see grid below for current programs. Please refer to program details below and respective Slack channels for exact meetup times
TWIML invites community members to form study groups around topics of interest. For guidelines and to learn more about how to launch a study group click here
Current and Upcoming Programs
This study group works through the Stanford CS224U Spring 2019 course lectures, papers and additional resources for better understanding the current state of the art in Natural Language Understanding. The group meets on every Sundays at 8am PT. Join the conversation on slack at #stanford_cs224u
NLP Kaggle Competition is a group that specifically focuses on Kaggle competitions for Natural Language Processing related projects. The group is for people who are busy but are still interested in using NLP knowledge to solve practical problems through a competition format. The group plans to tackle a competition per one to two months. The […]
Checkout our recent Causal Modeling in ML webinar with Robert Ness here We’re collaborating with research scientist and instructor Robert Ness to bring his course sequence, Causal Modeling in Machine Learning, to the TWIML Community. Causality has become a very hot topic in the ML/AI space. In fact, it’s come up in a good number […]
This study group works through the fast.ai Practical Deep Learning for Coders course lectures and discusses additional resources for better understanding. This study group is for anyone who is interested in Deep Learning, including beginners! We try to discuss the lectures in as much detail as possible. Experience with working in Python is helpful. US […]
The nlp_embeddings group is dedicated to learning though sharing knowledge, code and resources with a focus on embeddings, transformers and other NLP technologies. The group meets every Thursday at 10am PT. Each week we discuss our personal and professional NLP projects, providing advice and guidance and sharing code. We are also working towards contributing novel […]
The nlp_projects group is dedicated to sharing and building practical NLP projects. The group meets on Saturdays at 9:30am PT. During our weekly sessions we discuss, share, and support each other’s projects and interests. We also invite speakers who share their experience developing and implementing NLP solutions. Some area of focus include Transformers and embeddings, […]
This study group works through David Silver’s course on Reinforcement Learning. The group is for anyone who is interested in Reinforcement Learning, including beginners! Study groups take place every Sunday at 12pm PST respectively. Meetups will run through October 4, 2020. A detailed weekly schedule can be found here. Also, please join us on our […]
Our Hand-on Machine Learning study group works through each chapter in Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems by Aurélien Géron. The group is organized and hosted by TWIML community member and leader, Joseph Catanzarite. Participation is open to anyone interested in Machine Learning, including beginners! […]
The Winter 2020 cohort of the AI Enterprise Workflow study group has ended. If you’re interested in taking the courses, you may find the session recordings below helpful. The AIEW specialization consists of six courses which progressively walk the learner through the experience of building and deploying a real-world enterprise AI solution, from establishing business […]
This course works through the Stanford CS224 Winter 2019 course lectures, and discusses additional resources for better understanding. This study group is for anyone who is interested in NLP, including beginners! We try to discuss the lectures in as much detail as possible. Experience with working in Python and Neural Networks is helpful. Meetups take […]