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Machine Learning and Deep Learning Boot Camp – by ValleyML.ai & SFBay ACM
August 31, 2019 @ 10:00 am - 6:00 pm
*** NO RSVP on MEETUP, ***
*** MUST PURCHASE TICKET on EVENTBRIGHT, click this link:
https://www.eventbrite.com/e/machine-learning-and-deep-learning-bootcamp-tickets-62743151455?discount=VALLEYML_ACM40
Eight-day Bootcamp with Tickets:
$150 – $900, Early Birds have 40% discount, until 6/30/2019
.Build a solid foundation of Machine Learning / Deep Learning principles and apply the techniques to real-world problems.
.Learn the theoretical details of machine learning algorithms to the latest techniques in deep learning applications.
.Create prototypes and build practical deep learning applications to solve real-world problems.
.Receive IEEE PDH Certificate from IEEE Continuing Education.
SCHEDULE:
The Boot Camp consists of the following 8 workshops which cover fundamentals of machine learning to the latest advances of deep learning technologies and their applications.
Day 1: Essential Math, Python and Tensorflow for Machine Learning (Thu, Aug 29, 4 pm – 9 pm)
Day 2: Statistical Methods for Data Science (Sat, Aug 31, 10 am – 6 pm)
Day 3: Classic Machine Learning (Thu, Sep 05, 4 pm – 9 pm)
Day 4: Deep Learning with CNN and Tensorflow (Thu, Sep 12, 4 pm – 9 pm)
Day 5: Deep Learning for Computer Vision Hands-on Workshop (Thu, Sep 19, 4 pm – 9 pm)
Day 6: Deep Learning for Natural Language Processing Hands-on Workshop (Thu, Oct 03, 4 pm – 9 pm)
Day 7: Deep Learning for Robotics Hands-on Workshop (Thu, Oct 10, 4 pm – 9 pm)
Day 8: Deep Learning for Intelligent Video Analytics Hands-on Workshop (Thu, Oct 17, 4 pm – 9 pm)
Location: Z-Park Silicon Valley, 4500 Great America Pkwy, Santa Clara, CA 95054
Instructors:
Dr. Kiran Gunnam, IEEE Distinguished Speaker and Distinguished Engineer – Machine Learning & Computer Vision at Western Digital
Dr. Koji Seto, Chief Scientist, Apollo AI Inc.
Dr. Osso Vahabzadeh, Principal Research Scientist, Apollo AI Inc.
Dr. Tirthajyoti Sarkar, Senior Principal Technologist, ON Semiconductor