[ValleyML.ai] Machine Learning & Deep Learning Boot Camp
Build a solid foundation of Machine Learning / Deep Learning principles & 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 & 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 & the bios of the instructors.
The Boot Camp consists of the following 8 workshops which cover fundamentals of machine learning to the latest advances of deep learning technologies & their applications:
Essential Math, Python & Tensorflow for Machine Learning (Thu, Aug 29, 4 pm - 9 pm)
Statistical Methods for Data Science (Sat, Aug 31, 10 am - 6 pm)
Classic Machine Learning (Thu, Sep 05, 4 pm - 9 pm)
Deep Learning with CNN & Tensorflow (Thu, Sep 12, 4 pm - 9 pm)
Deep Learning for Computer Vision Hands-on Workshop (Thu, Sep 19, 4 pm - 9 pm)
Deep Learning for Natural Language Processing Hands-on Workshop (Thu, Oct 03, 4 pm - 9 pm)
Deep Learning for Robotics Hands-on Workshop (Thu, Oct 10, 4 pm - 9 pm)
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
Dr. Kiran Gunnam, IEEE Distinguished Speaker & Distinguished Engineer - Machine Learning & Computer Vision at Western Digital
Dr. Koji Seto, Chief Scientist, Apollo AI
Dr. Osso Vahabzadeh, Principal Research Scientist, Apollo AI
Dr. Tirthajyoti Sarkar, Senior Principal Technologist, ON Semiconductor
The Boot Camp is available to register as a complete course & also as a custom package of individual workshops. For instance, you can select "Any 5 workshops" ticket & then make choices for the course in the registration form.Please see this document for the details of the workshop selection process. 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 & ValleyML.ai mailing lists. Early bird tickets last till the end of June. Regular registration period is from July 1st to August 22nd. Late registration starts from August 23rd.
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 & make predictions. Machine learning brings together computer science & statistics to harness that predictive power. It's a must-have skill for all aspiring data analysts & data scientists, or anyone else who wants to wrestle all that raw data into refined trends & 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 & identify useful features that best represent your data, a few of the most important machine learning algorithms, & how to evaluate the performance of your machine learning algorithms. In this Boot Camp, you will learn about the most effective machine learning techniques, & gain practice implementing them & 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 & powerfully apply these techniques to new problems.
This series of workshops are focused on explaining the foundations & intuitions of machine learning / deep learning along with guided programming exercises & applying deep learning techniques to practical applications in Computer Vision, Natural Language Processing, Robotics, & Intelligent Video Analytics to solve real-world problems. In hands-on workshops, you will work on a project to create & deploy working applications.
Attendees would have access to course materials (presentations & programming exercises as well as video resources). Help would be available through Slack channels, which attendees can join through invitation & 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 fourth week of October & ends in the third 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/). Help would also be available through Slack channel, which attendees can join through invitation & 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 21st - Nov 18), 6 PM - 8 PM
6. Deep Learning for Natural Language Processing Hands-on Workshop
Tuesdays (Oct 22nd - Nov 19), 6 PM - 8 PM
7.Deep Learning for Robotics Hands-on Workshop
Wednesdays (Oct 23rd - Nov 20), 6 PM - 8 PM
8.Deep Learning for Intelligent Video Analytics Hands-on Workshop
Thursdays (Oct 24 - Nov 21), 6 PM - 8 PM
Engineers, researchers, practitioners & students who are interested in data science, machine learning, convolutional neural networks, recurrent neural networks, reinforcement learning & their real-time production deployment. This workshop series will particularly benefit people who intend to develop machine learning techniques & applications that can keep improving themselves after seeing more & diverse data to achieve intelligence and/or wants to pursue a career in data science, machine learning, & artificial intelligence.
Given that there are several free resources available on web for machine learning & deep learning, why do I need to take this course?
While many materials are available online, it is difficult to find the right materials for your learning goal & sometimes even hard to know where to start. Some of them are unstructured & do not have the quality & rigor needed for educational program. This course offers comprehensive coverage of materials from fundamentals to advanced topics including hands-on practices for a specific application such as computer vision, natural language processing, robotics & video analytics. The whole course consists of 8 individual workshops & is organized in such a way that you can learn effectively for your goal. You have a choice to take a complete course, a course for a specific target application or an individual workshop depending on your needs.
How can I select a workshop or multiple workshops during the registration process?
The Boot Camp is available to register as a complete course & also as a custom package of individual workshops. For instance, you can select "Any 5 workshops" ticket & then make choices for the course in the registration form. Please see this document for the details of the workshop selection process.
What are the materials that are provided to the attendees?
Course slides in PDF & other workshop materials will be shared with registered attendees. In addition, programming examples/exercises are also provided as Jupyter notebooks 5-days before the course so that attendees can run them from their browser using Google Colaboratory (a hosted Jupyter notebook environment that is free to use & requires no setup).
Will the attendees get IEEE Certificate for Professional Development Hours for this event?
Yes. This event is reviewed & 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) 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, & offers some ofthe most relevant content thatengineers need to stay ahead.
IEEE Certificates will help technical professionals:
Gain a competitive advantage
Update their knowledge & 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 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 & Jupyter notebook examples along with your favorite browser.
I purchased "Any 5 workshops" ticket & it mentions all the courses I selected. However, the ticket mentions only 1 day (8/29). 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 (8/29). 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 & Artificial Intelligence (ValleyML.ai) is the most active & important community of ML & AI Companies & Start-ups, Data Practitioners, Executives & Researchers in the Silicon Valley. ValleyML.ai bring together business leaders & applied machine learning & 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 & other AI related organizations bringing a series of regularly planned events, seminars, conferences, & 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 & 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 & 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 & organized by a corporation or an organization working on ML/AI. ValleyML.ai focuses on designing the overall technical program & the speaker selection. Please see our past events at https://www.valleyml.ai/past-events