Demystifying AI

Artificial Intelligence and Deep Learning are the current buzzwords of the tech industry. So, have you been wondering what all the fuss is about?

Have you wanted to incorporate AI into your products, but have no idea where to start? Are you letting terms like 'Big Data' or 'Differential Calculus Equations' intimidate you from being a part of the leading edge of this technology?

 

JOIN US for a two day, hands on workshop series Demystifying Artificial Intelligence. You will have the opportunity to gain insight from World Class Engineers & Entrepreneurs in the field.

 

Featuring the latest AI open source platforms:

  • SciKit
  • Tensor Flow
  • Spark
  • Keras
  • PyTorch

 

 

We have developed community partnerships with the best in the industry so you can network & mingle with entrepreneurs, engineers, students, professors, researchers, product developers, accelerators, and nonprofits. Share your projects and vision for the future of Deep Learning & Artificial Intelligence.

 

What's in it for you?

  • Two days of hands on collaborative learning
  • Practical experience applying the latest technology & APIs
  • Catered Breakfast & Lunch, with coffee and snacks trhoughout the day
  • Networking with fellow participants, successful entrepreneurs and company sponsors
  • Play with robotics equipment & gear from our sponsors
  • Become a part of the Bay Area AI & Deep Learning Enthusiast Community
  • Continued learning & ability to ask questions in our follow up lab sessions & community slack channel

 

 

Tickets are not sold out yet. Sign up before it is too late.


 

EVENT COMMUNICATIONS

TWITTER

The official Demystifying AI Workshop Hashtag is: #DemystifyingAI

We will use Twitter for live announcements and updates from the event. Follow us at @AccelerateAI.

 

FACEBOOK

Join our Accel.AI FaceBook PageAI Deep Learning Enthusiasts Group to share some photos of the event. We plan on periodically live streaming short interviews and broadcasting what people are working on through Facebook. 

 

YOUTUBE

The presentations will be live streamed on our Accel.AI Youtube account.

 

SLACK

We created a slack channel for easy communication during the event Join: #demystify-ai-workshop

Join Accel.AI Slack Channel!

 


SCHEDULE

Full PDF Brochure of Schedule Coming Soon

 

Tuesday Night - October 17th, 2017 - Google Launchpad

6:00 - 9:00 pm | Optional Software Download & Install Mentoring Session

 

Thursday - October 19th, 2017 - Google Launchpad

9:00 - 9:30 am | Check-in & Breakfast

9:30 - 10:00 am | Opening Remarks

10:00 - 12:00 pm | Introductory & Advanced Sessions

12:00 - 1:00 pm | Lunch is Provided

1:00 - 4:00 pm  | Introductory & Advanced Sessions

4:00 - 4:30 pm | Closing Remarks

 

Friday - October 20th, 2017 - Google Launchpad

9:00 - 9:30 am | Check-in & Breakfast

9:30 - 10:00 am | Opening Remarks

10:00 - 12:00 pm| Introductory & Advanced Sessions

12:00 - 1:00 pm | Lunch is Provided

1:00 - 3:00 pm | Introductory & Advanced Sessions

3:00 - 5:00 pm | Lightning Talks

5:00 - 7:00 pm | Networking Reception

 

Masters of Ceremony

 
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Jennafer Roberts

Personal Development Mentor at Accel.AI

Jen has a passion for social change and wants to see a world that works for everyone. She has a BS in alternative medicine and an MA in anthropology and social change. Jen sees the value in self care, as well as the importance of values and ethics of care in the world of technology. She is here to keep the beauty and complexity of humanity in AI.

Linkedin


Organizers

 

Susana Craig

Partnerships

Ms. Craig’s is a relationship builder that has fostered Silicon Valley business relationships for over 20 years’ in the tech, non profit, and startup world. Be it sales, business development, or channel management, Ms. Craig used her diverse skill set to drive companies to financial, P.R., and social success. She has nurtured business collaborations at companies such as Apple, Adobe, CapGemini, Microsoft, PacBell, and Epicentric. Ms. Craig’s passion is to help those in need and used her talents to start companies focused on wireless technology, with a goal of cultivating a workforce from underprivileged communities. Ms. Craig is devoted to women's workplace and minority social issues which she has integrated into every position held. Social justice is everyone's responsibility.

Linkedin

 

Speakers

 
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Ian Foley

CEO at acuteIQ

Ian Foley is an investor and serial entrepreneur with 20 years in Silicon Valley. After managing venture investment for Telecom Italia and SRI International, he founded or lead sales in four startups in big data and machine learning. Currently, he is CEO of acuteIQ, a FinTech startup that uses machine learning to help banks predict businesses with loan intent.

Linkedin

 
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Pankaj Kumar

Founder at DataCabinet

Pankaj is a co-founder at DataCabinet. Before starting DataCabinet, Pankaj held engineering positions at AppDynamics and Microsoft. Pankaj graduated from the Indian Institute of Technology, Kharagpur and then went to Purdue University for Masters of Science. He recently completed the Graduate Certificate in Statistical Data Mining and Applications from Stanford university. He is a Deep Learning/Neural Network enthusiast.

Linkedin | Website

 
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Hima Lakkaraju

Microsoft Research Intern and PhD Student, Stanford University


Hima is a PhD student in Computer Science at Stanford University. Her research focuses on building machine learning algorithms which can complement human decision making in domains such as criminal justice, health care and education. Some of her notable research involved evaluating predictive models which can help judges with bail decisions. She also developed a series of machine learning models which can provide diagnostic insights into the patterns of mistakes made during the process of decision making. More recently, she has been focusing on building interpretable models which not only optimize for predictive power but also emphasize on explaining how the algorithm is making those predictions. Her research is being supported by a Robert Bosch Stanford Graduate Fellowship, a Microsoft Research Dissertation Grant, and a Google Anita Borg Scholarship. Prior to joining Stanford, Hima was a technical staff member at IBM Research where she worked on natural language processing and sentiment analysis. Her research has been published in several top data mining and machine learning conferences such as NIPS, AISTATS, AAAI, KDD etc. Her research contributions were recognized with numerous awards including a best paper award at SIAM International Conference on Data Mining and IBM eminence and excellence award.

Website

 
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Lisha Li

Investor at Amplify Partners, PhD Berkeley Statistics

Linkedin

 
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Chandan Maruthi

Founder at Walnut AI

I am a founder at WalnutAI, we are on a mission to use AI to empower millions of professional that could be impacted by automation.

Linkedin

 
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George McIntire

Data Science Associate, ODSC

Writer turned data scientist/writer. Interested in sharing the power of AI with the public.

Linkedin | Website

 
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Omoju Miller

Senior Data Scientist, Machine Learning at GitHub

Omoju Miller is a Senior Machine Learning Data Scientist with Github. She has over a decade of experience in computational intelligence. She has a Ph.D. from UC Berkeley. In the past, she has co-led the non-profit investment in Computer Science Education for Google and served as a volunteer advisor to the Obama administration’s White House Presidential Innovation Fellows. She is considered one of the folks to watch, as part of Bloomberg’s Beta Future Founders program. She is a member of the World Economic Forum Expert Network in AI.

Linkedin

 

Laura Montoya

Founder & CEO at Accel.AI

Laura has been described as a natural and versatile leader with a passion for Artificial Intelligence, Computer Science, Research, and Psychology. She has a B.S. in Biology, Physical Science, and Human Development from Eastern Michigan University. Her personal interests include growth & empowerment, diversity, and community outreach. She is also a Director with Women Who Code, a global non-profit dedicated to inspiring women to excel in technology careers. 

Linkedin | Twitter

 
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Bharath Ramsundar

Stanford, UC Berkeley, DeepChem Author

Bharath Ramsundar received a BA and BS from UC Berkeley in EECS and Mathematics and was valedictorian of his graduating class in mathematics. He is currently a PhD student in computer science at Stanford University with the Pande group. His research focuses on the application of deep-learning to drug-discovery. In particular, Bharath is the creator and lead-developer of DeepChem, an open source package that aims to democratize the use of deep-learning in drug-discovery and quantum chemistry. He is supported by a Hertz Fellowship, the most selective graduate fellowship in the sciences.

Twitter  | LinkedIn

 
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Abhishek Sharma

Software Engineer at Salesforce

Organizer of Deep Learning Enthusiasts Meetup Group and a backend engineer at Metamind. He received his Master’s in Computer Science (AI track) from University of Illinois at Urbana Champaign (UIUC). His interests include Deep Learning, Natural Language Processing and large-scale Machine Learning.

He worked with Prof. ChengXiang Zhai, UIUC, on discovering controversial points in news articles by leveraging social media conversations. He was the recipient of the Cognitive Science/Artificial Intelligence Award – 2014, awarded by the Computer Science Department, UIUC

Linkedin | Twitter

 
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Sudha Subramanian

Business and Data Analyst, AI/ML consultant at Wells Fargo

Sudha Subramanian is a data specialist with over 22 years of professional
experience that encompasses building analytics based solutions. She has
demonstrated the ability to leverage the power of data through exploration and
statistical modeling techniques to convey a story that has influenced business
decisions. 
She has worked on multiple assignments including building custom
algorithms, applying machine learning techniques on projects for work and
with non-profit organizations through Data Kind. She is currently an AI/ML
consultant at Wells Fargo, one of the largest banks in the US.

Linkedin | Blog | Twitter

 
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Nathaniel Tucker

Research Engineer at Vicarious

Nathaniel earned his AB/SM in Computer Science from Harvard. He previously worked as a Quant and Trader at Jane Street and Goldman Sachs before transitioning into the pure tech industry. Nathaniel worked as a Data Scientist at Facebook, a Product Manager at Microsoft and a Software Engineer at Google before joining Vicarious. He is an avid reader and learner. He teaches part time at General Assembly and is developing open source teaching material for data science, machine learning, and web development.

Linkedin 

 

Mentors

 
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Sanjay Agarwal

Data Scientist at Discern Analytics

Sanjay has a Masters in Electrical Engineering from the University of Texas and a Data Analytics/Machine Learning Certificate from University of Santa Cruz. As a Data Scientist at Discern, he is responsible for developing big-data analytics platform deployed on AWS and deploying Deep Learning & Machine Learning for extracting insights from Industrial-IoT and financial datasets.

Linkedin

 

Bethany Garcia

Senior Engineer and Mentor at Accel.AI

Bethany graduated from the Johnston Center at the University of Redlands with a concentration in International Relations and Economics.  She worked in diverse areas from Education Reform to Investment Banking before joining her first startup in 2000 as a Quality Assurance Engineer.  She evaluated a wide variety software until 2015, when she attended Hackbright Academy and renewed her passion for programming, data visualization, and Machine Learning.

Linkedin

 
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Candida Haynes

Data / Experience Consultant, Technology Coach

My full-stack technology experience includes creating public affairs application prototypes to 1) facilitate efficiency before, during, and after emergencies and other unique events, 2) educate individuals and businesses about protecting data on line, 3) engage and protect vulnerable populations that have limited access to technology, and 4) drive cross-platform developer experiences that accelerate the adoption of technical solutions to enhance security and protect commerce.

Current Obsession: Independently designing architectures for safe data storage, exploration, and collaboration. Evaluating clouds and hardware-based options. Sharing my findings at conferences.
 

Linkedin

 
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Shawn Shocron

Entrepreneur & Tech Consultant

Is a tech expert with experience in many software eco systems. In the past few years he specialized with BigData and Hadoop and worked as a software architect. His current interests are Data Science and AI at San Francisco State university.

Linkedin

 

Interested in sharing your knowledge?

We pride ourselves in bringing the best and brightest engineers & entrepreneurs to present and mentor at our workshops. If you are passionate about sharing your knowledge and experience in Artificial Intelligence, Data Science, Data Engineering, Data Analytics, Data Visualization, Big Data, Robotics, or Gaming with the community.

Interested in volunteering?

Not an engineer or researcher but you'd still like to be involved? We need volunteers to help make this an amazing workshop. Sign up to be a volunteer for the opportunity to receive free entry!

Interested in Sponsoring?

We have general and scholarship sponsorship packages available for one time or ongoing partnerships with Accel.AI!


LOCATION

Google Launchpad Space
301 Howard St, 4th Floor
San Francisco, CA 94105

United States

 

PUBLIC TRANSPORTATION

Google Launchpad is a 6 min walk from Embarcadero Bart Station or a 3 min walk from Mission and 1st St Bus Station.

 

PARKING

There are several pay parking lots and structures surrounding Google Launchpad. See top cheapest and closets garages here

 
 

FAQ

Why are you doing this?

Accel.AI is on a mission to make developing Artificial Intelligence more diverse, inclusive, and impactful by removing barriers to entry.

 

Do you offer discounts?

Thanks to our partnership with Google Launchpad, we are able to offer this event at an 80% discount from our normal rate of $350 per person!

 

Do you offer Scholarships?

Yes. In an effort to lower the barriers to entry for underrepresented women in Artificial Intelligence, we have created a Scholarship Fund. Recipients of this scholarship will receive free entry for workshops, and if they are traveling from abroad, travel and hotel accommodations will be provided for them. Apply for the Scholarship!

 

Do I need prior engineering experience to attend?

No. Although many of our presentations and tutorials are highly technical, our introductory sessions are geared to participants with no prior experience.

 

Who is the target Audience?

All are welcome at our workshops! We offer parallel intro and advanced session from hands on tutorials of the building blocks of AI to talks describing the latest research. Our participants include students, industry professionals, engineers, researchers, entrepreneurs, investors, and those just curious to learn what all the fuss is about.

 

Do I need to provide my own laptop?

Yes. We are not able to provide laptops at this time, but we are working to make this option available at future workshops.

 

Do I need to download and install any software prior to attending?

Yes. If you plan on following along with the tutorials, it is recommended that you install Python, Anaconda, Jupyter Notebook, Scikit Learn, and Tensorflow on your laptop prior to attending.

Package Installation Instructions:

  1. Python - https://www.python.org/downloads/
  2. Anaconda - https://docs.continuum.io/anaconda/install/
  3. Jupyter Notebook - http://jupyter.readthedocs.io/en/latest/install.html
  4. Scikit Learn - http://scikit-learn.org/stable/install.html
  5. Tensorflow - https://www.tensorflow.org/versions/r0.11/get_started/os_setup.html

 

Instructional videos for step by step installation guides:

Windows

  1. Introduction to Machine Learning with Python - Set up Instructions for Windows (python, numpy, matplotlib, scipy and scikit-learn)
  2. Install Anaconda, Jupyter Notebook, Spyder on Windows 10
  3. Installing TensorFlow - Installing CPU and GPU TensorFlow on Windows

Mac

  1. Introduction to Machine Learning with Python - Set up Instructions for Mac (python, numpy, matplotlib, scipy and scikit-learn)
  2. Installing Anaconda & iPython Jupyter Notebook on Mac OS X
  3. Installing TensorFlow - TensorFlow is supported by Mac, Windows, and Linux

 

What if I need help with package installations?

Attend our optional software download and install mentoring session Tuesday evening. We'll have some mentors available throughout the weekend to assist as well.

 

Can I participate remotely?

Absolutely! We provide live streaming of our workshop on the Accel.AI Youtube account.

 

Will there be opportunities to continue collaborating after the workshop?

Yes. Continue learning, connecting, and growing with your peers on our community slack channelmeetup group, & facebook group

 


Standard Workshop Disclosures

CODE OF CONDUCT:

Our conference is dedicated to providing a harassment-free conference experience for everyone, regardless of gender, gender identity and expression, age, sexual orientation, disability, physical appearance, body size, race, ethnicity, religion (or lack thereof), or technology choices. We do not tolerate harassment of conference participants in any form. Sexual language and imagery is not appropriate for any conference venue, including talks, workshops, parties, Twitter and other online media. Conference participants violating these rules may be sanctioned or expelled from the conference without a refund at the discretion of the conference organizers.

For full version, please see: confcodeofconduct.com.

 

PHOTOGRAPHY & VIDEOGRAPHY:

We take photos and video at our events. Some of these images will be used on our website. We seek to respect your privacy and ask that if you do not want your likeness to appear on Accel.AI to please email us.

 

COMMUNICATIONS:

By signing up for this event, you will automatically be added to future Accel.AI announcements.

 

PROMOTIONS:

We do not make announcements for non-related events or conferences at our gatherings. Distribution of flyers, printed media or other non related materials is not allowed at our events. 

 

IMPORTANT: 

This gathering is limited to 200 people. You MUST be pre-registered to attend. Registration must include your First and Last name, and some of our venues require ID for entry. You do not need to print a paper ticket. We will be checking people in the building lobby. Questions or comments? Contact us!

 

REFUNDS:

Full refunds available if requested at least 7 days prior to event.