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Upcoming events (4)
**this is online event, make sure to register here: RSVP: https://learn.xnextcon.com/event/eventdetails/W20071618 We are hosting a free virtual meetup. You can join from anywhere with zoom. In this talk, I will present an overview of recommender systems, including traditional content based and collaborative filtering. I will also touch upon some current trends and breakthroughs in this area. I will then provide an overview of how we develop recommendations here at Etsy. Specifically, I will provide an overview of our journey from linear ranking models to a non- linear deep neural network ranking model, the challenges we faced and the lessons we learnt. I also plan to present our work on a novel custom objective function to build a recommendation model that jointly optimizes both relevance and profit.
**this is online event, make sure to register here: RSVP: https://learn.xnextcon.com/event/eventdetails/W20072021 Free virtual full day AWS AI/ML bootcamp. You can join from anywhere with zoom. This full day hands-on bootcamp is for developers of all skill level to come together to learn deep learning on NLP using Tensorflow with Amazon Sagemaker. Get free deep learning training. Together we will work through several deep learning labs, build an end-to-end AI/ML pipeline for natural language processing with Amazon SageMaker. You will get hands-on experience with the deep learning, NLP, BERT, Tensorflow and Sagemaker. Every attendee will receive a free AWS instance for this bootcamp The bootcamp includes 6 modules: 1) Ingest, analyze, and visualize a public dataset 2) Transform the raw dataset into machine learning features 3) Train a model with our features 4) Optimize model training using hyper-parameter tuning 5) Deploy and test our model both online (real-time) and offline (batch) 6) Automate the entire process with a SageMaker pipeline Start Date/Time: * North America: July 20th, 9:00 PM PST * Europe/Africa/MiddleEast: July 21st, 5:00 AM BST / 6:00 AM CET * India/Asia/Australia: July 21st, 9:30 AM IST / 12:00 PM Singapore / 2:00 PM Sydney RSVP: https://learn.xnextcon.com/event/eventdetails/W20072021 Agenda: [30 mins] Setup [30 mins] Ingest Data [30 mins] Explore Data [15 mins] Q&A / Break [30 mins] Prepare Data [30 mins] Train Model [30 mins] Q&A / Meal Break [30 mins] Optimize Model [30 mins] Deploy Model [30 mins] Create Pipeline [15 mins] Q&A / Wrap Up Attendees will learn how to: * Ingest data into S3 using Amazon Athena and the Parquet data format Visualize data with pandas, matplotlib on SageMaker notebooks and AWS Data Wrangler * Analyze data with the Deequ library, Apache Spark, and SageMaker Processing Jobs * Perform feature engineering on a raw dataset using Scikit-Learn and SageMaker Processing Jobs * Train a custom BERT model using TensorFlow, Keras, and SageMaker Training Jobs * Find the best hyper-parameters using SageMaker Hyper-Parameter Optimization Service (HPO) * Deploy a model to a REST Inference Endpoint using SageMaker Endpoints * Perform batch inference on a model using SageMaker Batch Transformations * Automate the entire process using StepFunctions, EventBridge, and S3 Triggers Pre-requisites: * Modern browser - and that is it! * Nothing will be installed on your local laptop
This is online tech event, you can join from anywhere with zoom, please register and attend here: https://learn.xnextcon.com/event/eventdetails/W20070910 We are hosting Free half-day online workshop on Explanations and ML Pipelines - ML in Production. Explanations and ML Pipelines - ML in Production Date: Jul. 23rd, 10am PT/1pm ET RSVP: https://learn.xnextcon.com/event/eventdetails/W20070910 In this workshop, we will cover 2 important aspects of applied machine learning systems - Explanations and Machine Learning Pipelines. We will start with a technical talk on Explainable AI and cover the key methods to generate explanations. After the technical talk, we will conduct a hands on workshop where we will cover how to set up ML data and re-training pipelines. We will cover both streaming and batch updates to data and how ML retraining pipelines can be set up to pick up the latest versions of a dataset. We will finish with generating explanations for models. Agenda (US pacific time, GMT-7): [10:00 - 10:10am] Welcome and workshop overview [10:10 - 10:45am] Explainable AI - overview and science behind the different approaches [10:45 - 11:45am] Hands on workshop [11:45 - 12:00pm] Q&A and wrap up
Postpone the event due to covid-19. AI Summit: Separating myth from reality - debunking the AI hype More info and registration: https://hypevsrealityai.com Best price (starting from just $49 ) is available for limited time, 60% off for our members, with code: AICAMP60 (All ticket sales will be donated to AI4ALL) ----------- Bringing together experts, founders, and business executives, Separating myth from reality — debunking the AI hype is a one-day immersion into the fascinating and often misunderstood topic of AI. As we continue to adopt this technology at scale, how do we separate hype from reality? How do we ensure that we use AI for good? Join industry experts, cutting edge researchers, and enterprising entrepreneurs as they explore as a community how AI can change the world in a responsible and ethical way. Speakers: * Alon Halevy, Director of AI, Facebook * Anima Anandkumar, Caltech professor and director of ML, Nvidia * Kevin Scott, CTO, Microsoft * Peter Norvig, Director of Research, Google * Pieter Abbeel, UC Berkeley Professor * Mehran Sahami, Professor, Stanford University * and 20+ more Topics: * Reinforcement Learning * Autonomous Driving * NLP and NLU * Automated Machine Learning * Applied AI * Ethics in AI