MACHINE LEARNING AND DEEP LEARNING BOOTCAMP [ValleyML.ai] MACHINE
LEARNING AND DEEP LEARNING BOOT CAMP 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. Please see this document
for the complete details of the boot camp, the topics covered and the
bios of the instructors. 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: Essential Math, Python and Tensorflow for MACHINE
LEARNING (Thu, Aug 22, 4 pm – 9
pm) Statistical Methods for Data Science
(Sat, Aug 24, 10 am – 6 pm) Classic MACHINE LEARNING
(Thu, Aug 29, 4 pm – 9 pm) Deep LEARNING WITH CNN AND TENSORFLOW
(Thu, Sep 05, 4 pm – 9 pm) Deep LEARNING FOR COMPUTER VISION
HANDS-on Workshop (Thu,
Sep 12, 4 pm – 9 pm) Deep LEARNING FOR NATURAL LANGUAGE PROCESSING
HANDS-on Workshop (Thu, Sep 19, 4 pm – 9 pm) Deep
LEARNING FOR ROBOTICS HANDS-on Workshop
(Thu, Sep 26, 4 pm – 9 pm) Deep LEARNING FOR INTELLIGENT VIDEO
ANALYTICS HANDS-on Workshop (Thu, Oct 03, 4 pm –
9 pm) Location: MINDROME, 4701 Patrick Henry Dr, 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
Registration/Pricing Info: The Boot Camp is available to register as a
complete course and also as a custom package of individual workshops.
For instance, you can select "Any 5 workshops" ticket and then make
choices for the course in the registration form. An example list of
packages is given below for "Any 5 courses" ticket based on target
application courses as in the table below. Discounts are available for
ACM/IEEE members through the discount codes distributed through
SFBayACM, IEEE and ValleyML.ai mailing lists. Early bird tickets last
till the end of June. Regular registration period is from July 1st to
August 15th. Late registration starts from August 16th. Introduction:
As data sources proliferate along with the computing power to process
them, going straight to the data is one of the most straightforward
ways to quickly gain insights and make predictions. MACHINE LEARNING
BRINGS TOGETHER COMPUTER SCIENCE AND STATISTICS TO HARNESS THAT
PREDICTIVE POWER. It’s a must-have skill for all aspiring data
analysts and data scientists, or anyone else who wants to wrestle all
that raw data into refined trends and predictions. This is a training
that will teach you the end-to-end process of investigating data
through a MACHINE-LEARNING LENS. It will teach you how to extract and
identify useful features that best represent your data, a few of the
most important MACHINE LEARNING ALGORITHMS, and how to evaluate the
performance of your MACHINE LEARNING ALGORITHMS. In this Boot Camp,
you will learn about the most effective MACHINE LEARNING TECHNIQUES,
and gain practice implementing them and getting them to work for
yourself. More importantly, you'll learn about not only the
theoretical underpinnings of LEARNING, but also gain the practical
knowledge needed to quickly and powerfully apply these techniques to
new problems. This series of workshops are focused on explaining the
foundations and intuitions of MACHINE LEARNING / deep LEARNING ALONG
WITH GUIDED PROGRAMMING EXERCISES AND APPLYING DEEP LEARNING
TECHNIQUES TO PRACTICAL APPLICATIONS IN COMPUTER VISION, Natural
Language Processing, Robotics, and Intelligent Video Analytics to
solve real-world problems. In hands-on workshops, you will work on a
project to create and deploy working applications. Details:
Attendees would have access to course materials (presentations and
programming exercises as well as video resources). Help would be
available through Slack channels, which attendees can join through
invitation and ask questions after each workshop. The topics covered
in each workshop are described in detail below. For hands-on workshops
5 - 8, you will have a chance to work on a 5-week project, which
starts from the second week of October and ends in the first week of
November. The project instructions are provided every week according
to the schedules in the table below. We have office hours right after
the instructions so that you can ask questions and/or work on your
project. The remote access to the instructions would be available
through WebEX. The recorded instruction videos would also be available
along with video resources through Thinkific
(https://www.thinkific.com/ [https://www.thinkific.com/]). Help would
also be available through Slack channel, which attendees can join
through invitation and ask questions during 5 weeks for each project.
Attendees will receive the feedback from instructors for each competed
project. Project for Hands-on Workshop Instructions / Office hours 5.
Deep LEARNING FOR COMPUTER VISION HANDS-on Workshop Mondays (Oct 7 –
Nov 4), 6 PM – 8 PM 6. Deep LEARNING FOR NATURAL LANGUAGE PROCESSING
HANDS-on Workshop Tuesdays (Oct 8 – Nov 5), 6 PM – 8 PM 7.Deep
LEARNING FOR ROBOTICS HANDS-on Workshop Wednesdays (Oct 9 – Nov 6),
6 PM – 8 PM 8.Deep LEARNING FOR INTELLIGENT VIDEO ANALYTICS HANDS-on
Workshop Thursdays (Oct 10 – Nov 7), 6 PM – 8 PM Target
Audiences: Engineers, researchers, practitioners and students who are
interested in data science, MACHINE LEARNING, convolutional neural
networks, recurrent neural networks, reinforcement LEARNING AND THEIR
REAL-time production deployment. This workshop series will
particularly benefit people who intend to develop MACHINE LEARNING
TECHNIQUES AND APPLICATIONS THAT CAN KEEP IMPROVING THEMSELVES AFTER
SEEING MORE AND DIVERSE DATA TO ACHIEVE INTELLIGENCE AND/or wants to
pursue a career in data science, MACHINE LEARNING, and artificial
intelligence. FAQs: What are the materials that are provided to the
attendees? Course slides in PDF and other workshop materials will be
shared with registered attendees 5-days before the course. In
addition, programming examples/exercises are also provided as Jupyter
notebooks so that attendees can run them from their browser using
Google Colaboratory (a hosted Jupyter notebook environment that is
free to use and requires no setup). Will the attendees get IEEE
Certificate for Professional Development Hours for this event? Yes.
This event is reviewed and approved by IEEE continuing Education.
Please contact us at the email from which your Eventbrite registration
ticket is sent. Apollo AI, who is an approved IEEE Certificate
Provider, is working with IEEE
(https://www.ieee.org/education/continuing-education.html
[https://www.ieee.org/education/continuing-education.html]) to provide
this. We will send instructions to the attendees after the course on
the form that need to be filled. An example of IEEE Certificate is
provided here: IEEE Certificates guarantee that education program
meets IEEE standards, and offers some of the most relevant content
that engineers need to stay ahead. IEEE Certificates will help
technical professionals: Gain a competitive advantage Update their
knowledge and skills Build professional credibility Earn the CEUs/PDHs
they need to keep their licenses current A not-for-profit
organization, IEEE is the world’s largest technical professional
organization dedicated to advancing technology for the benefit of
humanity. Please see this
https://www.ieee.org/education/certificates/ceus-faqs.html
[https://www.ieee.org/education/certificates/ceus-faqs.html] for more
information on IEEE Certificates. What do I need to bring into the
event for each Workshop? You want to bring a laptop with the provided
Course slides in PDF and Jupyter notebook examples along with your
favorite browser. I purchased "Any 5 workshops" ticket and it
mentions all the courses I selected. However, the ticket mentions only
1 day (8/22). Is the ticket valid for all the workshops listed on my
ticket. Sorry for the confusion - it has to do with how eventbrite
handles multi-day events. Yes, the ticket is valid for a all the
workshops listed on your ticket. I purchased "All 8 workshops
(complete package)" ticket. However, the ticket mentions only 1
day (8/22). Is the ticket valid for all the workshops? Sorry for the
confusion - it has to do with how eventbrite handles multi-day events.
Yes, the ticket is valid for a all the 8 workshops. What is
ValleyML.ai? Valley MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE
(ValleyML.ai) is the most active and important community of ML & AI
Companies and Start-ups, Data Practitioners, Executives and
Researchers in the Silicon Valley. ValleyML.ai bring together business
leaders and applied MACHINE LEARNING AND DEEP LEARNING PRACTITIONERS.
We collaborate with other non-profit professional organizations such
as SF Bay ACM, IEEE Silicon Valley AI/CS/CAS/ITSoC/RAS/SSCS Chapters
and other AI related organizations bringing a series of regularly
planned events, seminars, conferences, and workshops. We plan to cover
the state-of-the-art advancements in AI technology. We have free
tickets for IEEE/ACM students, members in transition and discounted
tickets for IEEE/ACM members. Events sponsored by corporations or
organizations may charge the attendee fees to cover the expenses (such
as venue, refreshments, speaker fees, preparation fees for course
materials and software, revenue sharing with other non-profits such as
SF Bay ACM who helps on publicity) associated with the event.
Attendees for most of the workshops get IEEE Certificates for
Professional Development Hours if the courses are organized by
Approved Provider of IEEE Certificates. Each event would be
financially sponsored and organized by a corporation or an
organization working on ML/AI. ValleyML.ai focuses on designing the
overall technical program and the speaker selection. Please see our
past events at https://www.valleyml.ai/past-events
[https://www.valleyml.ai/past-events]
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23/08/2019 Last update