In this Meetup, we learn the most fundamental yet important concepts in deep learning deeply. All of these concepts are used to build new models and improve the existing ones and every deep learning enthusiast should 100% fully understand these concepts. So the following concepts are discussed. All the concepts have the theory, math and python implementations for deep understanding. This Meetup is especially for the people who are interested in research so I presume that the participant have good understanding of deep learning, (may not have deep).

Smart speakers, such as Amazon Echo, have been adopted by millions of users. However, the privacy impacts of smart speakers have not been well examined. We investigate the privacy leakage of smart speakers under an encrypted traffic analysis attack, referred to as voice command fingerprinting. In this attack, an adversary eavesdrops encrypted voice traffic from and to a smart speaker and infers which voice command a user says without decrypting encrypted traffic. We design our attacks based on neural networks and collect two large-scale datasets on Amazon Echo and Google Home by using an automatic traffic crawler.

At Convoy, we've built a digital marketplace to connect truck driving businesses to our customer's shipments as well as the infrastructure to collect comprehensive data on each transaction and user engagement with our technology. Our data have a complex underlying network structure and unique supply/demand equilibrium constraints. In this talk, I will review my exploratory work to create a synthetic dataset of bidding behavior that exhibits interference and evaluate analysis of a 2-stage randomization design experiment. My goal is to provide insight into the intricacies of a digital marketplace, using Convoy as a specific example, and difficulties with applying solutions developed for the general interference setting.

While siloed systems have created barriers to generating analytic insights, tools are either limited to specialized functions or require complex skills. To address these challenges, in this meetup, you will learn how you can be empowered with industry-leading, AI-powered, self-service analytics capabilities for data preparation, visualization, enterprise reporting, augmented analysis, and natural language processing. Break through those barriers by allowing stakeholders of all analytic-skill levels to collaborate confidently with a common foundation for sharing knowledge. Autonomous features make it easy to setup and scale! Brendan Doyle is Senior Product Manager, Data & Analytics at Oracle.

Please join us at Hardy Coffee in Benson for a workshop on Interpretable Machine Learning by Dr. Aimee Schwab-McCoy. First National Bank is our sponsor for the evening, providing coffee and refreshments, beginning at 5:00pm. Please RSVP so we can plan accordingly. How do we extract meaningful information from black box models? Sure, predictive accuracy is important – but what about domain-specific knowledge?

WiMLDS Paris is launching a new format: paper reading sessions. These sessions will happen at lunchtime, each 3rd Thursday of the month. The goal of these events is to take some time to discuss Machine Learning and Data Science papers that we found interesting, and take the opportunity to discover ML-passionate people in Paris. The events are limited to 30 people so discussions between attendees remain possible. This session's paper will be "Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification" (https://bit.ly/2lFtFTR),

Come join us for a little preview of the upcoming AI Humans Conference where we will feature a full day of Social Good uses cases across such topics as Privacy, Personal Safety, Public Policy, Inclusion, Employment, Education, Legal Justice, Conflict and others. Hear form Joan Wang, of Omelas, who will share her professional journey as an up and coming AI Leader. She will also present on Bias in AI,. This talk is part of our Women in AI Leadership series that features successful woman in the AI field. Our featured speakers are living proof of diversity in AI and have found ways to move forward in the space..