Thank you everybody for attending the May 30th presentation on AI Neural Bots. Below is the slide deck.
We would love to invite you to attend our presentation on AI and Neural Bots. To RSVP please click here or the flyer below.
Please join us! Want to gain hands on experience using Machine Learning to classify computer images? Our group members just started both a new study group session (Deep Learning course on Udacity) and Kaggle Competition (Digit Recognizer). These were picked on purpose as they complement each other extremely well if you want to do one or both of […]
We have at least 6 davidson machine learning members interested in participating in the state wide IGNITE NC contest. This contest is supported by US Ignite and the National Science Foundation and encourages solutions for next generation smart systems that leverage advanced networks in helping with Smart Cities. This is a great way to get exposure in pitching a business […]
Our team now has a Geforce GTX 1070 GPU (huge thanks to team member @botbuilder Pon ArunKumar Ramalingam!). This system is available to any members that would benefit from the GPU and are actively working on group machine learning projects or kaggle competitions. We are accepting donations to help with these and future improvements (listed below) to the […]
Initially conceived by: Pon ArunKumar Ramalingam Pictures and information coming soon!
Thanks again to our Scotty Chung for coming out to the Davidson library to show off just one of the tools in the data scientist arsenal.
To get an idea of presentations we have hosted in the past, please see the list below. To sign up and see future events, please visit our meetup page. May 30th, 2018 – AI & Machine Learning: From Hype to Real World Applications Description: DESCRIPTION Time for another segment of the Infinite Possibilities Series! We’ll begin […]
Below are some links that have been shared by team members. Please join our mailing list to get the latest recommendations! General courses: a. Stanford’s statistical learning (link here) b. Google’s Machine learning class & hands on with Tensor flow (link here) c. Neural nets with Hinton (link here) d. Another Stanford Machine Learning course (link […]
Sign up here if you want to be part of our Kaggle team