Data Scientist: The Sexiest Job of the 21st Century according to Harvard Business Review
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 an all weekend, hands on workshop series Demystifying Deep Learning & AI. You will have the opportunity to gain insight from World Class Engineers & Entrepreneurs in the field.
Learn how to use the latest AI open source platforms including:
SciKit | Tensor Flow | ConvNetJS | Keras | IBM Watson
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.
-Two days of hands on collaborative learning
-Practical experience applying the latest technology & APIs
-Catered Breakfast & Lunch, coffee, snacks, all the food you need
-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!
SATURDAY February 4th, 2017 - JAMES IRVINE CONFERENCE CENTER
| Time | Description |
|---|---|
| 9:00 - 9:30 am | Check-in & Breakfast |
| 9:30 - 10:00 am | Opening Remarks |
| 10:00 - 12:00 pm | Intro & Advanced Sessions |
| 12:00 - 1:30 pm | Lunch is Provided |
| 1:00 - 4:30 pm | Intro & Advanced Sessions |
| 5:00 - 7:00 pm | Networking Reception @ Darling's Elixers |
SUNDAY February 5th, 2017 - JAMES IRVINE CONFERENCE CENTER
| Time | Description |
|---|---|
| 9:00 - 9:30 am | Check-in & Breakfast |
| 9:30 - 10:00 am | Opening Remarks |
| 10:00 - 12:00 pm | Intro & Advanced Sessions |
| 12:00 - 1:30 pm | Lunch is Provided |
| 1:00 - 4:00 pm | Intro & Advanced Sessions |
| 4:00 - 4:30 pm | Closing Remarks |
Python | Numpy | Scikit Learn | Tensorflow
Instructional videos for step by step installation guides:
I help clients design and implement data products and machine learning systems.
With a background in engineering and physics, I worked for several years at a consulting firm that focused on content management systems, taking on roles as a project manager, business analyst, and data engineer.
Since 2011, I've been a freelance consultant, combining my technical skills and business experience to contribute to data products that have a strong social impact. My clients have included startups and Fortune 500 companies, in industries including energy, finance, tech, non-profit and healthcare.
I am an affiliate at The Data Guild (thedataguild.com), a team of creative professionals committed to developing data products to serve our clients strategic priorities. I have enjoyed working as project lead and senior data scientist on multiple projects with TDG since 2013.
I am a founder of the San Francisco Bay Area chapter of DataKind (datakind.org), a non-profit dedicated to helping NGOs and other organizations tackle data science problems. In my third year as chapter leader, I'm focused on developing processes and leadership structures that lead to successful, sustainable projects.
I enjoy craft beer and reading essays about non-popular science. I live in Oakland, California, and often work from home.
Topic:
*Designing Machine Learning Systems to Drive Business
Ashish Bansal - Senior Director, Data Science @ Capital One
Visionary big data science professional focused on building data science teams and machine learning products at scale. 16+ years of industry experience in building companies and teams, ramping up revenue and delivery of products and projects across geographies.
• Building new data products and new revenue streams from these products at Capital One
• Built the big data science team at Gale, big data team at Sapient Nitro, and QA team at Sapient Nitro
• Built Alchemy (marketing automation) and Unchained (integrated CMS) products at Gale. Built ADX B2B travel product at travel startup
16+ years of work experience is supplemented by an MBA from Kellogg School of Management, Northwestern University Chicago. I also hold a bachelor’s degree of technology in Electronics Engineering from IIT Varanasi.
Specialties: Business & Technology Strategy, Digital Marketing Technologies, Big Data Science (Spark/MLLib/Hadoop/Hive/Mahout/Predictive Analytics), New Technologies, Data driven marketing, Technology Management, Cloud and SaaS strategies, Digital marketing platforms
Topic:
*TensorFlow 201: How to organize code and use TensorBoard for debugging NNs
Emily Barry - Data Scientist @ LegalServer
Emily is a Data Scientist for LegalServer, building classifiers that help connect the underserved with legal advice. She cut her teeth in data science on a project topic modeling every Supreme Court case since 1760, and is passionate about exploring how law and government can benefit from AI and compelling data storytelling.
Topic:
We know that the best policies are based on data, but what about algorithms? Machine learning provides a massive opportunity to leverage existing data to research larger social trends - and we’ve only scratched the surface of how law and government can benefit from this. In this talk, we’ll discuss applying data science in this context, and how we as Data Scientists can positively impact the adoption of data science in law and government through public-facing projects.
Rumman Chowdhury - Senior Manager of AI @ Accenture
Rumman's passion lies at the intersection of artificial intelligence and humanity. She comes to data science from a quantitative social science background. Currently, she is a Senior Manager at Accenture, working on cutting edge applications of Artificial Intelligence. Additionally, she serves on the Board of Directors for three AI startups.
She holds two undergraduate degrees from MIT, and a Masters in Quantitative Methods of the Social Sciences from Columbia University. I am near completion of my PhD from the University of California, San Diego.
More recently, she has emerged as a thought leader in the San Francisco Data Science community, with talks and tutorials at Intel Analytics Conference, Open Data Science Conference, Machine Learning Conference, Women Catalysts, PyBay, and Demystifying AI Conference.
In mainstream media, she has been interviewed for the PHDivas podcast, German Public Television, and fashion line MM LaFleur. In 2017, she has upcoming talks at the Global Artificial Intelligence Conference, at Strata + Hadoop San Jose, Southern Data Science Conference, and Strata + Hadoop London.
Topic:
*Ethics in Artificial Intelligence
Jack C Crawford - CEO & Founder @ Datalog.ai
Jack leads a startup that provides a conversational AI platform for enterprise applications, software OEMs, and consumer facing bots that support customer engagement at scale.
Over his career, he has bootstrapped three technology firms. Rey Consulting, Inc., which was named Oracle's leading middle-market reseller in North America was merged into to Computer Technology Associates as the Internet began to create new value organizations and consumers. In his next adventure, he joined a startup where he led the development of an enterprise online file sharing service that was subsequently acquired by AOL. They were a bit early, as this the "first Dropbox."
His next firm began as a seed venture and pivoted into another bootstrapped firm. At Managed Ventures, he built a team where they developed an advanced application for chemical informatics and early drug discovery.
And now, with private capital funding of $3M (https://www.crunchbase.com/organization/datalog-ai), he has kicked off datalog.ai, a firm that has already taken a leadership position in transformational AI.
He believes in the power of a new way of looking at advancing technology. We can all help democratize Artificial Intelligence. It need not be a replacement for the way businesses or non-profit causes operate. Rather he sees AI as Additional Intelligence®– a platform that provides a foundation for increased value. Value for all of us.
Topic:
How to identify an opportunity for predictive AI within a business. Also, 3 things needed to successfully deliver these new capabilities to business owners.
Stefan Kojouharov - Founder @ ChatbotsLife
Founder @Chatbot's Life where we help companies build great bots and share our insights along the way. We have consulted many of the most popular bot companies like Swelly, Instavest, OutBrain, NearGroup and more. Chatbot's Life has become the go to place for anyone who wants to build a better chatbot.
Topic:
*How to Make Chatbots People will Love: Intro to Chatbot UX and Lean Design
Chandan Maruthi - Founder @ Walnut.ai
Founder at WalnutAI, we use AI and NLP methods to extract insights from public data to help professionals learn skills. Have founded Storrz.com and been a product director at a bay area data company.
Topic:
*Analyzing 100K job postings with NLP
Nimay Parekh Head of North America @ ViSenze
Nimay Parekh currently heads North American operations for ViSenze, a top global visual search company, known for its services in computer vision and deep learning. Prior to joining ViSenze, Nimay headed Product Strategy, Marketing and Partnerships for NASA based HaloDrop and was a co-founder of MIT Media Lab based Belleds Technologies. Nimay has worked with JP Morgan Chase and Factset Research Systems in New York, London and Dubai. He is a TEDx speaker, a fellow of the Clinton Foundation and has a Masters in Business Administration from INSEAD and Artificial Intelligence from Singularity University.
Topic:
*Rise of the Artificial Intelligence Industry
Malaikannan Sankarasubbu - CTO & Founder @ DATALOG.AI
Malai is the Founder and CTO at Datalog.ai, where he loves to take on the challenges of unstructured data. He actively works on Natural Language Processing and Computer Vision problems, with applications in conversational agents and health. He loves high performance computing, and trains Deep Learning models on GPUs to keep his home warm in the winter.
Topic:
*Intro into Keras and Image Classification
Keras is a minimalisitc Python Deep Learning library that works on top of TensorFlow or Theano. It helps to quickly prototype Deep Learning models, and works seamlessly with both CPUs and GPUs. In this talk you will learn about how to build a simple image classification model using Keras.
ABHISHEK SHARMA - Backend Engineer @ METAMIND / 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
Topics Covering:
*Intro to Machine Learning
*Numpy, Scikit Learn, & Intro to Deep Learning using Tensorflow
*Lab Session: Tensor Flow install & Problem Sets
Dr. Ming-Hwa Wang Adjunct Professor @ Santa Clara University & Lead Engineer at Cisco
Dr. Ming-Hwa received a Ph.D in computer science and has had a complete working experience of over 20 years (include engineer, lead, manager, director at different hi-tech companies in Silicon Valley, and also co-founded a startup and served as the VP of R&D). Other than hands-on expertise, he also teaches at the Graduate School of the Department of Computer Engineering at Santa Clara University as an adjunct professor, the courses he has taught include big data, machine learning, data mining, information retrieval, natural language processing, semantic web, artificial intelligence, cloud computing, etc.
Topic:
Overview of artificial intelligence and sub-fields (such as machine learning, data mining, information retrieval, natural language processing, semantic web, etc.), then focus on machine learning, neural network, and deep learning with hands-on practice in Tensorflow.
We pride ourselves in bringing the best and brightest engineers & entrepreneurs to present at our workshops. If you are passionate about sharing your knowledge and experience in Artificial Intelligence, Data Science, Data Engineering, Data Analytics, Big Data, Robotics, or Gaming with the community - APPLY NOW!
Accel.AI is on a mission to make developing Artificial Intelligence more diverse, inclusive, and impactful by removing barriers to attending. We are offering students a 50% discount code: "STUDENT". We will be checking student IDs at check-in so be sure to bring yours.
To ensure these opportunities are not cost prohibitive to anyone, if you identify as an "underrepresented person" in tech (eg. woman, person of color, lgbtq, or person with disability) Contact us to receive up to an 80% discount!
We need volunteers to help make this an amazing event. Sign up to be a volunteer for the opportunity to receive free entry: Signup to Volunteer!
This is a unique chance to meet diverse engineers, entrepreneurs, researchers and more! Contact us for more information.
There are five parking structures that service the Civic Center Plaza. The closest is beneath the Dalziel Building. The entrance to this garage is on 16th Street between Clay Street and Telegraph Avenue.
Parking also is available in the City Center Garage, located beneath City Center, accessed via entrances on 14th Street between the 1300 Clay Street and 505 14th Street buildings, or via 11th Street just past Clay. A third parking structure is located very nearby on San Pablo Avenue, with entrances on both 16th and 17th streets. In addition, there is a parking structure on Clay between 14th and 16th streets. Finally, there is a large parking structure, City Center Garage West, on the corner of 12th and Jefferson streets, and accessed via entrances on 12th and on Martin Luther King, Jr. Way (across from Preservation Park).
Civic Center Plaza is serviced by all AC transit lines and by BART 12th St Station.
Get the latest in AI news by following us on twitter & facebook. Don't forget to continue learning, connecting, and growing with your peers on our community slack channel, meetup group, & facebook group!
