• Natural Language Processing with PyTorch

    Needs a location

  • Machine Learning and Deep Learning Boot Camp - July 14 to September 10

    *** NO RSVP on MEETUP ***
    Registration NEEDED at:
    https://valleyml.thinkific.com/bundles/machine-learning-and-deep-learning-boot-camp?coupon=ValleyML40
    Discount of 40% ends by June 1st
    https://valleyml.thinkific.com/bundles/machine-learning-and-deep-learning-boot-camp?coupon=ValleyML25
    Discount of 25% ends by July 1st
    Attendees can get IEEE PDH Certificate from IEEE Continuing Education.

    ValleyML Machine Learning and Deep Learning Boot Camp -2020
    Build a solid foundation of Machine Learning / Deep Learning principles and apply the techniques to real-world problems. Get IEEE PDH Certificate. Virtual Live Boot Camp from July 14th-Sept 10th.
    This is a Machine Learning and Deep Learning Boot Camp, which is available to register as a complete course of 8 workshops and also as a custom package of individual workshops.

    Entire Program schedule along with instructor bios can be downloaded here as a PDF. https://drive.google.com/file/d/1XyOg9v4m6EwPQSPfS74-BCLgjbw0LFzk/view
    Short link http://bit.ly/mldlbc2020

    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.

    Live lessons with live Q&A will be held on Tuesday and Thursdays every week from July 14th to
    September 10th 2020. Each session is from 3 pm to 4.30pm pacific time. Live sessions are planned
    through Zoom Webinar. The total number of live instruction hours are 27 (3 hours each week for 9 weeks).

    Essential Math, Python and Tensorflow for Machine Learning
    July 14th, July 16th

    Statistical Methods for Data Science
    July 21st, July 23rd, July 28th, July 30th

    Classic Machine Learning
    Aug 4th, Aug 6th

    Deep Learning with CNN and Tensorflow
    Aug 11th, Aug 13th

    Deep Learning for Computer Vision
    Aug 18th, Aug 20th

    Deep Learning for Natural Language Processing
    Aug 25th, Aug 27th

    Deep Learning for Robotics
    Sept 1st, Sept 3rd

    Deep Learning for Intelligent Video Analytics
    Sept 8th, Sept 10th

    Course Logistics:
    ValleyML.ai is working with Apollo AI, an approved IEEE Education/Course provider, to offer this course.
    This event is reviewed and approved by IEEE continuing Education.

    Please check the ValleyML learning platform
    https://valleyml.thinkific.com/bundles/machine-learning-and-deep-learning-boot-camp?coupon=ValleyML40 for more details and FAQ on this offering.

    Venue:
    Virtual

    Attendees would have access to course materials (presentations and programming exercises as well as video resources). A first module would be available immediately and the other modules would be available 8 days after enrollment. Help would be available through Thinkific communities, which registered attendees have access and ask questions. The topics covered in each workshop are described
    in the course webpage. For workshops 5 - 8, a project with solutions is provided.

    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 NEEDED at:
    https://valleyml.thinkific.com/bundles/machine-learning-and-deep-learning-boot-camp?coupon=ValleyML40
    Discount of 40% ends by June 1st
    https://valleyml.thinkific.com/bundles/machine-learning-and-deep-learning-boot-camp?coupon=ValleyML25
    Discount of 25% ends by July 1st
    Attendees can get IEEE PDH Certificate from IEEE Continuing Education.

  • What can machine learning offer COVID-19?

    Online event

    By Rajiv Bhatia, MD, MPH, Stanford University

    The event is jointly organized by ValleyML and SF Bay ACM. It will be available on Zoom and YouTube. Access will start about 6:45pm, using only one of the links per device.

    7:00 Announcements and Presentation

    ZOOM link: For SFBay ACM members only. Please check https://www.meetup.com/SF-Bay-ACM/events/270702684/

    Youtube live stream link: https://youtu.be/JEpV9T8jM1E

    Before the event, please contribute your perspectives by taking the 12 multiple choice Covid-19 Open Questions Survey using group number[masked]https://docs.google.com/forms/d/e/1FAIpQLSch_XdCZVms4VN-eMgBBIMHfTKO9bxrLNM8jqsC0SAcX6v2xA/viewform
    More about the Project:
    http://www.thecivicengine.org/coviduncertainties.html

    Current Situation

    ●A novel virus, Covid-19, known to cause severe pneumonia and death, but with highly uncertain information on transmission behavior, human susceptibility, and immunity.
    ●Protective human behavioral and governmental responses driven by uncertainty and threat resulting in unprecedented economic disruption and unemployment.
    ●Secondary social and health harms including anxiety, delayed medical care, domestic violence, etc.
    ●Long term risks of maladaptive human behaviors, including economic depression, worsening social division and inequality.

    Machine learning might ….

    ●Better understand or predict viral behavior both naturally and under different scenarios of control (e.g. disease modeling).
    ●Create an early warning indicator for hospital demand.
    ●Estimate real-time, location, specific individualized risks of Covid-19 disease at the individual, community, and business levels in real time. For example, what’s my risk of going to a restaurant in San Francisco tonight or taking a vacation to New York City.
    ●Sense where knowledge is converging and where uncertainty remains.
    ●Identify unexpected consequences, e.g. 3rd and 4th order effects, blind spots.

    Some Reading

    The Pandemic Doesn't Have to Be This Confusing
    Projecting the transmission dynamics of SARS-CoV-2 through the post pandemic period
    COVIDView Weekly Summary
    Hospitalization Rates and Characteristics of Patients Hospitalized with Laboratory-Confirmed Coronavirus Disease 2019
    Substantial undocumented infection facilitates the rapid dissemination of novel coronavirus (SARS-CoV-2)
    COVID-induced economic uncertainty and its consequences | VOX, CEPR Policy Portal
    My Health Today, Or Your Health Tomorrow - Rajiv Bhatia, MD
    If the world fails to protect the economy, COVID-19 will damage health not just now but also in the future
    Unexpected Scientific Insights into COVID-19 From AI Machine Learning Tool
    Model quantifies the impact of quarantine measures on Covid-19’s spread
    Artificial intelligence and machine learning to fight COVID-19

    Speaker Bio

    Dr. Rajiv Bhatia is a physician and internationally recognized health systems innovator. From 1998 through 2013, he led San Francisco's pioneering work on health impact assessment (HIA), community health indicators, and open civic data — all strategies to generate actionable civic intelligence on the health externalities of social and economic systems beyond healthcare. He currently works as a practicing primary care physician and as a consultant to civil society organizations, healthcare systems, and governments designing and implementing informatics practices to address the community, economic, and environmental roots of health.
    [masked]
    https://www.linkedin.com/in/rajivbhatia64

  • State of AI and ML-January 2020

    Intel SC12

    Please register at https://valleyml-ai4.eventbrite.com?discount=VALLEYML25
    to get a 25% discount! This link has an embedded discount/promotion code VALLEYML25.

    [After 25% discount]
    Early bird tickets through Dec 17th: $37.5
    Regular price through Jan 7th: $74.25
    After Jan 7th: $111.75

    ValleyML is very excited to announce a star-studded speaker lineup for the "State of AI and ML- January 2020" event. This event features 36 world class speakers and leaders in AI algorithms, software and hardware. We are proud to feature 7 female speakers.

    This event is part of series of regularly planned events to learn about the state-of-the-art advances in artificial intelligence (AI) and machine learning (ML) technology. Get IEEE PDH Certificate from IEEE Continuing Education. The event is co-sponsored for publicity by local ACM and IEEE chapters.

    Visit https://www.valleyml.ai/sam4 to see the event details. Entire Program schedule along with speaker bios and talk abstracts can be downloaded here as a PDF at http://bit.ly/sam4ValleyMLatIntel.

  • Anthropomorphic Machine Learning:How to get Fast,Interpretable Deep Learning

    Open to all to attend (Online registration is needed. If you did not register, seating is not guaranteed.)
    https://www.eventbrite.com/e/anthropomorphic-machine-learninghow-to-get-fastinterpretable-deep-learnin-tickets-76396525063?aff=ValleyML

    Title: Towards Anthropomorphic Machine Learning: How to get Fast, Interpretable Deep Learning

    Speaker: Prof Plamen Angelov, PhD, DSc, FIEEE from School of Computing and Communications, Lancaster University, UK and Vice President-International Neural Network Society.

    Date: Wednesday, December 11, 2019. 5:30pm to 8:30pm Pacific Time.

    Venue: Intel Santa Clara, SC9 auditorium (2200 Mission College Blvd, Santa Clara, CA 95054)

    PROGRAM

    6:30 - 7:00 PM Networking & Refreshments
    7:00 - 8:00 PM Talk
    8:00 - 8:30 PM Q&A
    Organized by: IEEE Computational Intelligence Society

    Event co-sponsored by : IEEE Computer Society (CS) chapter of Silicon Valley, IEEE Solid-State Circuits Society chapter of Silicon Valley and ValleyML.ai

    Admission Fee:

    Open to all to attend (Online registration is needed. If you did not register, seating is not guaranteed.)

    IEEE members - free
    non-IEEE members - free. You do not need to be an IEEE member to attend!

  • State of AI and ML-December 2019

    SEMI

    There are a limited number of complementary tickets available right now! Please register at https://valleyml-ai3.eventbrite.com/?discount=VALLEYML_MEETUP

    If you are not able to get a free pass using the above link, you can apply for a free pass here:

    Free passes: Interested female attendees as well as Press, our past IEEE/ACM speakers, IEEE/ACM fellows and IEEE life members can apply for a free pass at http://bit.ly/compValleyML. There are 60 free passes for female attendees for each event with a total number of 120 free passes for female attendees. We are interested in increasing the participation of female attendees. For each event, a set of 20 free passes are enabled by UL, a second set of 20 of free passes are enabled by MINDBODY Inc. and a third set of 20 free passes are enabled by Oracle. We are very thankful to our sponsors.

    This is part of a series of regularly planned events to learn about state-of-the-art advances in artificial intelligence (AI) and machine learning (ML) technology. The event is co-sponsored for publicity by local ACM and IEEE chapters.

    Visit https://www.valleyml.ai/sam3 to see the event details. Entire Program schedule along with speaker bios and talk abstracts can be downloaded here as a PDF at http://bit.ly/sam3ValleyML.

  • Deep Learning for Intelligent Video Analytics Hands-on Workshop

    Z-Park Silicon Valley

    Registration NEEDED at:
    https://mldlbootcamp.eventbrite.com?discount=VALLEYML40
    Early bird discount of 40% ends by June 30th.
    Attendees can get IEEE PDH Certificate from IEEE Continuing Education.

    This is one of the workshops in Machine Learning and Deep Learning Boot Camp, which is available to register as a complete course of 8 workshops and also as a custom package of individual workshops.

    Entire Program schedule along with instructor bios can be downloaded here as a PDF. https://drive.google.com/file/d/1xjiqpf_w0sgHsoU-0NeTHMxCG02DlF-m/view?usp=sharing

    *************************************************************************
    Instructors: Dr. Kiran Gunnam, Dr. Koji Seto, Dr. Osso Vahabzadeh

    What you will learn / Topics that will be covered:
    1. Intuitive Treatment
    • Overview of Intelligent Video Analytics and Deep Learning
    • Convolutional Neural Network (CNN)
    • Deep Reinforcement Learning and Imitation Learning
    • Introduction to OpenCV and Apache Spark
    • Deployment using TensorRT
    • Applications: Object detection, Action recognition

    2. In-depth Treatment
    • Object detection
    • Action recognition

    3. Hands-on Practice
    • Object detection

    4. Project
    • Action recognition

    Target Audiences:
    Engineers, researchers, practitioners and students who are interested in deep learning and their implementations on GPUs in Intelligent Video Analytics applications. This workshop will particularly benefit people who intend to build Intelligent Video Analytics applications using deep learning techniques on top of a solid understanding of underlying algorithms.

    Prerequisites:
    Basic knowledge of Machine Learning, and familiarity with Python and Tensorflow basics

    Upon completion of this course, you’ll be able to build Intelligent Video Analytics applications using deep learning techniques to start solving real-world problems such as evaluation of real-time video streams by deploying object detection and tracking networks.

    Register at http://mldlbootcamp.eventbrite.com/?discount=VALLEYML40 for Early bird discount of 40%! Early bird tickets till June 30th.

    The above link has an embedded discount code VALLEYML40 to get 40% discount. Early bird tickets (40% discount) last till the end of June.
    Regular registration [https://mldlbootcamp.eventbrite.com?discount=VALLEYML25 ] (25% discount code VALLEYML25) period is from July 1st to August 22nd.
    Late registration [https://mldlbootcamp.eventbrite.com/?aff=vml ] (no discount) starts from August 23rd.

    Publicity Sponsors:
    IEEE Signal Processing Society, Santa Clara Valley Chapter
    ACM San Francisco Bay Area Chapter
    Silicon Valley Engineering Council
    Lehigh University
    Z-Park Silicon Valley

  • [SF Bay ACM] RACE your FACTs: Making AI work for Enterprises

    Co-sponsoring SF Bay ACM Event
    By Rama Akkiraju, IBM Fellow, Director in IBM’s Watson Division

    Agenda

    6:30 Doors Open, Food & Networking
    7:00 Presentation
    Live Streaming on this link:
    https://youtu.be/RE13Wsb6j70

    *** Please arrive by 7 PM due to Security ***
    *** Bring PHOTO ID (passport, driver license, etc.) ***

    Abstract:
    There is renewed interest among companies these days to implement and deploy AI models in their business processes either to increase automation or to improve human productivity. AI models are making their way as chatbots in customer support scenarios, as doctors' assistants in hospitals, as legal research assistants in the legal domain, as marketing manager assistants in marketing, and as face detection applications in the security domain, just to name a few use cases. Making AI work for enterprises requires a whole new and different set of concerns to be addressed than those for traditional software applications or for consumer-facing AI models such as targeted advertising and product recommendations. These new concerns include robustness (R), accuracy and adaptability (A), continuous learning (C), explainability (E), fairness (F), accountability (A), consistency (C) and transparency (T). In addition, building high quality and scalable AI models requires a specific kind of discipline, methodology, and tools. Data Scientists and practitioners need prescriptive guidance, tools, methods, and best practices on how to procure data, and build, improve and manage their AI models while addressing the concerns mentioned above. In this talk, I will present our best practices for making AI work for enterprises based on our first-hand experience of building scalable AI models for enterprises.

    Speaker Bio
    Rama Akkiraju is an IBM Fellow, Master Inventor and IBM Academy Member, and a Director, in IBM’s Watson Division where she leads the AI operations team with a mission to scale AI for Enterprises. Rama also heads the AI mission of enabling natural, personalized and compassionate conversations between computers and humans. Rama has been named by Forbes as one of the ‘Top 20 Women in AI Research’in May 2017, has been featured in ‘A-Team in AI’by Fortune magazine in July 2018 and named ‘Top 10 pioneering women in AI and Machine Learning’ by Enterprise Management 360.

    In her career, Rama has worked on agent-based decision support systems, electronic market places, and semantic Web services, for which she led a World-Wide-Web (W3C) standard. Rama has co-authored 4 book chapters and over 100 technical papers. Rama has 18 issued patents and 25+ pending. She is the recipient of 3 best paper awards in AI and Operations Research. Rama holds a Masters degree in Computer Science and has received a gold medal from New York University for her MBA for highest academic excellence. Rama served as the President for ISSIP, a Service Science professional society for 2018 and continues to actively drive AI projects through this professional society.

  • Deep Learning for Robotics Hands-on Workshop

    Z-Park Silicon Valley

    Registration NEEDED at:
    https://mldlbootcamp.eventbrite.com?discount=VALLEYML40
    Early bird discount of 40% ends by June 30th.
    Attendees can get IEEE PDH Certificate from IEEE Continuing Education.

    This is one of the workshops in Machine Learning and Deep Learning Boot Camp, which is available to register as a complete course of 8 workshops and also as a custom package of individual workshops.

    Entire Program schedule along with instructor bios can be downloaded here as a PDF. https://drive.google.com/file/d/1xjiqpf_w0sgHsoU-0NeTHMxCG02DlF-m/view?usp=sharing

    *************************************************************************
    Instructors: Dr. Kiran Gunnam, Dr. Koji Seto, Dr. Osso Vahabzadeh

    What you will learn / Topics that will be covered:
    1. Intuitive Treatment
    • Overview of Robotics and Deep Learning
    • Convolutional Neural Network (CNN)
    • Deep Reinforcement Learning and Imitation Learning
    • Introduction to ROS and Point Cloud Library (PCL)
    • Applications: Object Detection, Path Planning
    • Graph-based Deep Learning (Geometric Deep Learning)

    2. In-depth Treatment
    • Object Detection with CNN
    • Path Planning using Deep Reinforcement Learning

    3. Hands-on Practice
    • Object Detection

    4. Project
    • Path Planning

    Target Audiences:
    Engineers, researchers, practitioners and students who are interested in deep learning and their implementations on GPUs in Robotics applications. This workshop will particularly benefit people who intend to build Robotics applications using deep learning techniques on top of a solid understanding of underlying algorithms.

    Prerequisites:
    Basic knowledge of Machine Learning, and familiarity with Python and Tensorflow basics

    Upon completion of this course, you’ll be able to build Robotics applications using deep learning techniques to start solving real-world problems such as object detection and path planning in autonomous vehicles.

    Register at http://mldlbootcamp.eventbrite.com/?discount=VALLEYML40 for Early bird discount of 40%! Early bird tickets till June 30th.

    The above link has an embedded discount code VALLEYML40 to get 40% discount. Early bird tickets (40% discount) last till the end of June.
    Regular registration [https://mldlbootcamp.eventbrite.com?discount=VALLEYML25 ] (25% discount code VALLEYML25) period is from July 1st to August 22nd.
    Late registration [https://mldlbootcamp.eventbrite.com/?aff=vml ] (no discount) starts from August 23rd.

    Publicity Sponsors:
    IEEE Signal Processing Society, Santa Clara Valley Chapter
    ACM San Francisco Bay Area Chapter
    Silicon Valley Engineering Council
    Lehigh University
    Z-Park Silicon Valley

  • [Free Event] Bigger Brains & Be Agile on Data

    2655 Seely Ave, Cadence Design Systems Inc, San Jose, CA 95131

    Free event- however registration needed at
    https://www.eventbrite.com/e/building-bigger-brains-utilizing-neuromorphic-engineering-as-the-path-towards-brain-scale-tickets-74536800577?aff=valleyml

    Organized by: IEEE Computer Society (CS) chapter of Silicon Valley https://computer.ieeesiliconvalley.org/ in benefit of all its members.
    Sponsors: Computational Intelligence Society (CIS) & ValleyML.ai

    Speaker #1: Gordon Wilson:
    CEO and Co-Founder of Rain Neuromorphics
    Topic #1: Building bigger brains: Utilizing neuromorphic engineering as the path towards brain-scale intelligence.
    Speaker #2: Patrick Holl
    Co-founder and CTO of Fusionbase.io
    Topic #2: Be agile on data and query the world!
    Location: Cadence, Building 10
    Address: 2655 Seely Ave, San Jose, CA 95134

    There is a WebEx- please contact us if you are interested to attend remotely.

    5