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 meets every Sunday from 8 -10 am PT starting on May 9, 2021. You can join our slack community by clicking “JOIN US” at twimlai.com/community. The study group slack channel is #deep_unsup_21. About the Study Group Many experts in the field of Machine Learning/Artificial Intelligence and specifically Professor Yann LeCun of NYU, […]
This study group will follow the text Reinforcement Learning: An Introduction, Sutton and Barto, 2nd Edition, 2018 MIT Press. The group meets every Sunday at 10 am PT starting on April 11, 2021. The study group slack channel is #rl_2021 (you can join our slack community by clicking on “join us” at twimlai.com/community). Also, the […]
This study group will follow the text Building Machine Learning Pipelines: Automating Model Life Cycles with TensorFlow and aim to develop a valuable skillset that includes: model deployment and versioning data ingestion, validation and preprocessing model training, analysis, validation, and tuning pipeline orchestration The group meets every Wednesday at 9:30 pm ET / 6:30pm PT […]
This study group will follow the Deep Learning with Pytorch course at NYU. The course is about the latest techniques in deep learning in the areas of computer vision, NLP, and speech. The course also has dedicated lectures on graph neural networks and energy based models. Each lecture is followed by a practicum video that […]
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
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 […]
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 […]