Data Science for the Internet of Things (IoT) – University of Oxford

Your meetup

Title:Data Science for the Internet of Things (IoT)

 Location:Oxford, UK and online Time:The time commitment for the course is 3 – 5 hours face-to-face in Oxford on Saturdays (usually starting at 10:30) and 1 – 2 hours online each week on Tuesdays (usually starting at 19:00). We recommend you allow around 10 – 12 hours study time per week (plus the hours above). There is a minimum attendance requirement of 75%. Description:

Foundations of Data Science, AI and IoT: Part 1

(Tutor: Ajit Jaokar, Course Director)

Python, Tensorflow and Keras for Data Science

(Tutors: Peter Marriott, Director and Technical Consultant, Catalyst Computing Services; Ajit Jaokar, Course Director)

Introduction to the AI sprint

(Tutors: Cheuk Ting Ho, Data Scientist; Barend Botha)

Foundations of Data Science, AI and IoT: Part 2

(Tutor: Ajit Jaokar, Course Director)

Retail case study – and exercise

(Tutor: Devrim Sonmez, Co-founder, Blesh)

Unsupervised learning, Representation learning, and Generative Adversarial Networks

(Tutor: Hamaad Shah, Analytics Expert)

Intel movidius

(Tutor: Intel, TBC)

Implementation of AI, IoT and Edge – Azure AI

(Tutor: Paul Foster, Senior Software Engineer, Microsoft)

Inudstry Use Cases

(Tutor: Paul Clarke, Chief Technology Officer, Ocado)

Implementation of AI, IoT and Edge – Amazon AI

(Tutor: Claudiu Pasa, Business Development Lead, Amazon Web Services Internet of Things (EMEA))

CHRISTMAS BREAK (22 December 2018 to 4 January 2019)

AI with Robotics

(Tutor: Ajit Jaokar, Course Director)

Google and AI

(Tutor: TBC)

Time series – univariate, multivariate and LSTMs

(Tutor: Jean Jacques Bernard, Director, Insight and Customer Strategy, Oracle)

Deep learning with Nvidia Jetson

(Tutor: Bojan Komazec, Senior Software Engineer)

Self-driving cars and affective computing