• ODSC WEST 2019

    Hyatt Regency San Francisco Airport

    Our meetup member receive additional 10% discount with this code: ODSCWEST_FRONTIERS Buy your ticket at: https://www.eventbrite.com/e/odsc-west-2019-open-data-science-conference-tickets-53970588483?discount=meetup19 About the Conference The annual ODSC West in San Francisco brings together the most influential data scientists, practitioners, innovators, and thought leaders in Data Science, Artificial Intelligence and Big Data. ODSC West showcases the best and the brightest when it comes to Data Science, including many open source data science pioneers. Learn from leading 210+ experts in hands-on trainings, workshops and talks on everything you need in applied data science and artificial intelligence. Day One - Accelerate AI and Training Sessions The Accelerate AI Business Summit holds talks and panels about the Business of AI and data science plus network with industry leaders. Day Two - Training Sessions Enhance your data science skills through training sessions taught by world-class data science instructors, in small class sizes. Here you'll strengthen your technical skills and boost your professional profile through hands-on trainings led by core contributors. Day's Three and Four - Workshop and Talk Sessions Further your data science knowledge and connect with like-minded individuals at the many conference talks and workshops. Tools, Topics, and Languages Impress your boss and colleagues with the skills you gain at ODSC West. Here’s just a sample of the tools, topics, and languages we'll be covering in 4 days: Topics: Recommendation Systems, Transfer Learning, Machine Vision, Autonomous Machines, Conversational AI, Data Science Research, Artificial Intelligence, Speech Recognition, Unsupervised Learning, Image Classification, Self-driving Vehicles, and Machine Translation Languages: Python, R Julia, Scala, Pig/Hive/NoSQL Tools: Python, Jupyter Notebooks, R programming, Julia, Scala, Stan, Apache Spark, MLlib, Streaming, Tensorflow, MXNet, Caffe, CNTK, Scikit-learn, Theano, Shogun, Pylearn2, Azure ML, Amazon ML,H20.ai, Cloud ML, Neo4J, D3.js, R-Shiny, Hadoop, Apache Storm, Apache Flink, Kafka, Druid Networking Opportunities Connect with 4,500 of your data science peers from around the world at these networking opportunities provided throughout the conference: Daily Coffee Breaks / Review the talks over coffee Career Expo / Cross paths with startups and Fortune 500 companies looking to hire talented data scientists Office Hours Session / Drop in and bring your questions, big and small Share a meal and ideas with like-minded individuals at Dinner with Data Scientists. (This a self-organized event. ODSC suggests the venue and provides a signup sheet. Each individual is responsible for their own dinner cost.)

  • [Paper discussion] Reformer: The Efficient Transformer

    JJ Lake Business Center

    **This is a new paper posted on September 25, 2019 from Google Brain, submitted to ICLR 2020. Large Transformer models routinely achieve state-of-the-art results on a number of tasks but training these models can be prohibitively costly, especially on long sequences. We introduce two techniques to improve the efficiency of Transformers. For one, we replace dot-product attention by one that uses locality-sensitive hashing, changing its complexity from O(L^2) to O(L), where L is the length of the sequence. Furthermore, we use reversible residual layers instead of the standard residuals, which allows storing activations only once in the training process instead of N times, where N is the number of layers.The resulting model, the Reformer, performs on par with Transformer models while being much more memory-efficient and much faster on long sequences. Paper to read: "Reformer: The Efficient Transformer" https://openreview.net/forum?id=rkgNKkHtvB Code: https://pastebin.com/62r5FuEW This is part of the bi-weekly reading series. We come together to discuss cutting-edge AI topics and papers. One paper is selected as the major discussion topic. The meeting is led by one presenter, with group discussion and participation. Bring your questions and get answered. Socialize with other like-minded people. 6:30-7pm Meet and greet 7-8pm Paper presentation and group discussion 8-8:30 Additional social

  • [Training Course] 6-Week Deep Learning Training

    Mountain View

    **This is a paid event. We accept the first 15 students applied. By the end of this class, you will gain hands-on experience with deep learning and be familiar with all major topics in deep learning. You will be able to handle real-world problems with deep learning solutions. This class is for those with no background in deep learning, or with some background but want to gain more systematic training in deep learning. (Python experience is required, as our code examples are all in Python.) What you get from this course: 1. In-person interaction with the instructor 2. Dedicated Q&A session 3. Project team and discussion center 4. Hands-on exercises 5. Solving practical problems that you can apply at work 6. Certificate when finishing the class Topics covered: 1. Introduction to Deep Learning 2. Convolutional Neural Networks and Image Processing 3. Recurrent Neural Networks and NLP 4. Reinforcement Learning and deep reinforcement learning 5. Advanced topics Instructor: Junling Hu, a leading expert in AI and Chair of AI Frontiers Conference, has extensive experience of building AI products. She has led AI teams in Samsung, PayPal and eBay, building large-scale recommender systems, targeted marketing, and NLP products. She was an Assistant Professor at University of Rochester, and a recipient of National Science Foundation Career Award. She is the author of an upcoming book titled "Stay Relevant in the Age of AI: Deep Learning in 12 Days". Discount available to this meetup members (25%). Apply now from our website: https://aipro.io If you have any question, please contact: [masked]