• 30% Off Open Data Science Conf (ODSC): Deep Learning, Data Engineering & Science

    Hyatt Regency San Francisco Airport

    RSVP Here for 30% Off: https://www.eventbrite.com/e/odsc-west-2019-open-data-science-conference-tickets-53970588483?discount=ODSC_ASTF Accelerate your data science knowledge, training, and network. All in one event. ODSC West 2019 is one of the largest applied data science conferences in the world. Our speakers include some of the core contributors to many open source tools, libraries, and languages. Attend ODSC West 2019 and learn the latest AI & data science topics, tools, and languages from some of the best and brightest minds in the field. Focus Areas * Deep Learning * Machine Learning * Predictive Analytics * AI for Engineers * Natural Language Processing * Data Visualization * Data Wrangling * AI Research * Data Science at Scale * Data Science for Good * Data Science Management * Data Science Workflows * AI Business Summit 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 * Machine Translation * 200+ Speakers over 4 days 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 See schedule for many more... RSVP Here for 30% Off: https://www.eventbrite.com/e/odsc-west-2019-open-data-science-conference-tickets-53970588483?discount=ODSC_ASTF

  • Advanced KubeFlow Meetup @ TensorFlow World - Open to Public

    Santa Clara Convention Center

    **Open to the Public** Location: Grand Ballroom H @ Santa Clara Convention Center Talk 1: Building Scalable ML/AI Pipelines with TFX, KubeFlow, Airflow, and MLflow (Chris Fregly, Founder @ PipelineAI) Abstract In this talk, I build a real-world machine learning pipelines using TensorFlow Extended (TFX), KubeFlow, Airflow, and MLflow. Described in a 2017 paper from Google, TFX is used internally by thousands of Google data scientists and engineers across every major product line within Google. KubeFlow is a modern, end-to-end pipeline orchestration framework that embraces the latest AI best practices including hyper-parameter tuning, distributed model training, and model tracking. Airflow is the most-widely used pipeline orchestration framework in machine learning and data engineering. MLflow is a lightweight experiment-tracking system recently open-sourced by Databricks, the creators of Apache Spark. MLflow supports Python, Java/Scala, and R - and offers native support for TensorFlow, Keras, and Scikit-Learn. Bio Chris Fregly is Founder and Applied AI Engineer at PipelineAI, a Real-Time Machine Learning and Artificial Intelligence Startup based in San Francisco. He is also an Apache Spark Contributor, a Netflix Open Source Committer, founder of the Global Advanced Spark and TensorFlow Meetup, author of the O’Reilly Training and Video Series titled, "High Performance TensorFlow in Production with Kubernetes and GPUs." Previously, Chris was a Distributed Systems Engineer at Netflix, a Data Solutions Engineer at Databricks, and a Founding Member and Principal Engineer at the IBM Spark Technology Center in San Francisco. Talk 2: TBD

  • TensorFlow World Conference Pass - 20% Off

    Santa Clara Convention Center

    RSVP: https://www.oreilly.com/pub/cpc/259117 Save 20% w/code PCAAST O’Reilly TensorFlow World | October 28–31, 2019 | Santa Clara, CA The inaugural O’Reilly TensorFlow World is the first event of its kind—gathering the TensorFlow team and machine and deep learning experts to share best practices, promising (and tested) use cases, and a firsthand look at TensorFlow 2.0. Join us and stay ahead of what's coming. Register today to save 20% on most passes with our discount code: PCAAST https://www.oreilly.com/pub/cpc/259117 Tweets Don’t miss out on #TFWorld in Santa Clara! Save with our code PCAAST when you register. Sign up today. https://oreil.ly/2ydFUtJ We're proud to partner with #TFWorld in Santa Clara, October 28–31. Save 20% w/code PCAAST. https://oreil.ly/2MiUHeI Join us at TensorFlow World in Santa Clara, October 28–31, to tap into this vibrant community and see TensorFlow’s power in action. #TFWorld https://oreil.ly/2Mesl5v RSVP: https://www.oreilly.com/pub/cpc/259117 Save 20% w/code PCAAST

  • KubeFlow +Keras/TensorFlow 2.0 +TF Extended (TFX) +Kubernetes +Airflow +PyTorch

    Online Workshop - See Details Below

    **Title** Hands-on Learning with KubeFlow + Keras/TensorFlow 2.0 + TF Extended (TFX) + Kubernetes + PyTorch + XGBoost + Airflow + MLflow + Spark + Jupyter + TPU RSVP: https://www.eventbrite.com/e/full-day-workshop-kubeflow-kerastensorflow-20-tf-extended-tfx-kubernetes-pytorch-xgboost-airflow-tickets-63362929227 **Description** In this workshop, we build real-world machine learning pipelines using TensorFlow Extended (TFX), KubeFlow, and Airflow. Described in the 2017 paper, TFX is used internally by thousands of Google data scientists and engineers across every major product line within Google. KubeFlow is a modern, end-to-end pipeline orchestration framework that embraces the latest AI best practices including hyper-parameter tuning, distributed model training, and model tracking. Airflow is the most-widely used pipeline orchestration framework in machine learning. **Pre-requisites** Modern browser - and that's it! Every attendee will receive a cloud instance Nothing will be installed on your local laptop Everything can be downloaded at the end of the workshop **Location** Online **Agenda** 1. Create a Kubernetes cluster 2. Install KubeFlow, Airflow, TFX, and Jupyter 3. Setup ML Training Pipelines with KubeFlow and Airflow 4. Transform Data with TFX Transform 5. Validate Training Data with TFX Data Validation 6. Train Models with Jupyter, Keras/TensorFlow 2.0, PyTorch, XGBoost, and KubeFlow 7. Run a Notebook Directly on Kubernetes Cluster with KubeFlow 8. Analyze Models using TFX Model Analysis and Jupyter 9. Perform Hyper-Parameter Tuning with KubeFlow 10. Select the Best Model using KubeFlow Experiment Tracking 11. Reproduce Model Training with TFX Metadata Store and Pachyderm 12. Deploy the Model to Production with TensorFlow Serving and Istio 13. Save and Download your Workspace **Key Takeaways** Attendees will gain experience training, analyzing, and serving real-world Keras/TensorFlow 2.0 models in production using modern frameworks and open-source tools. RSVP: https://www.eventbrite.com/e/full-day-workshop-kubeflow-kerastensorflow-20-tf-extended-tfx-kubernetes-pytorch-xgboost-airflow-tickets-63362929227

  • [10% OFF] Zero to Deep Learning 5 day Bootcamp - San Francisco

    San Francisco State University

    Apply here: http://bit.ly/2KXZiCb 10% discount code: SPARK10OFF Zero to Deep Learning Bootcamp A 5 day full time training that brings you from Zero to Deep Learning® with Keras and Tensorflow 2.0. !!!All code updated to Tensorflow 2.0!!! 5 full days of Knowledge and Skill You’ll get versed in Data Visualization, Machine Learning, and Deep Learning. These are the elements that come together to make driverless cars, to recognize faces, to market products, and to drive big decisions from big data. Why Zero to Deep Learning? If you need to learn the foundations of Machine Learning and Deep Learning comprehensively and quickly, our 5-day Bootcamp is for you. It balances breadth and depth, and delivers you an immersive full-time introduction to cutting-edge ML and DL techniques using Python, Keras and Tensorflow. Who should attend? Software Engineers, Software Engineering Managers, and Data Analysts seeking to upskill in Machine Learning & Deep Learning. Machine Learning with Scikit: • Recognize where to use ML • Select best techniques • Manipulate data with Pandas • Visualize data with Matplotlib • Solve regressions & classifications • Evaluate model performance • Serve models with Flask & Heroku Deep Learning with Keras: • Understand DL fundamentals • Build Fully Connected Neural Networks • Train Convolutional Neural Networks • Design Recurrent Neural Networks • Discover Embeddings • Leverage Dropout & Batch Norm • Use GPUs to train faster Deep Learning with Tensorflow: • Discover why TensorFlow is popular • Turn Keras models into Estimators • Debug models with Eager Execution • Scale to large dataset with Data API • Learn about Core API • Tune performance with Tensorboard • Deploy models using cloud services You will Build: • Predict the price of a house • Detect language of a text • Recognize an object in an image • Classify the sentiment in a sentence • Forecast future energy consumption • Deploy an API that predicts phone location from wifi signal Why attend this Bootcamp • To quickly develop your practical skills in Machine and Deep Learning • You’re stuck with online training and want to develop your practical skills • 5 dedicated days to focus on learning ML and DL • You work in a company where ML and DL is becoming increasingly important, and you need to develop a relevant skill set • You are working in a project, or have an upcoming project which requires ML and DL skills • You are a manager and need a robust understanding of ML and DL to manage your team • Want to access new career opportunities or promotions Lead Instructor Francesco is the author of the Zero to Deep Learning book and founder of Catalit Data Science. He works at the cutting edge of Machine and Deep Learning training. Clients include both startups and Fortune 500s. His experience includes: • Lead Data Science instructor at General Assembly and The Data Incubator • Trainer at conferences including Pybay, ODSC, TDWI, AINext • Chief Data Officer and co-founder at Spire, a YC company that invented the first wearable device tracking breathing • Joint PhD in biophysics at University of Padua and Université de Paris VI What is included in the price? • 5-days in-person training led by Francesco Mosconi, expert ML and DL trainer • Customized hands-on labs developed to maximize your learning • Ability to download your labs at the end of the training • Access to a cloud GPU during the training and for 2-weeks afterwards • Expert advisory on your project between 5-6pm Mon-Thurs of the Bootcamp • Self-directed pre-work program to develop your Python skills (if required) • Live Slack support during the Bootcamp • Membership of the Zero to Deep Learning Slack and Facebook community • One copy of the Zero to Deep Learning book • Breakfast, lunch, all-day refreshments • A really fun 5-days! Prerequisites: 1 year of experience in Python Apply here: http://bit.ly/2KXZiCb 10% discount code: SPARK10OFF

  • MLconf 2019 SF - Call for Papers until May 31, 2019 - Submit Now!

    Hotel Nikko San Francisco

    So far, we have 3 confirmed speakers: - Anitha Kannan, Curai - Josh Wills, Slack - Ted Willke, Intel Instructions for submitting abstracts are available here: http://mlconf.com/abstract-guidelines/ Folks can submit here: https://docs.google.com/forms/d/e/1FAIpQLSexVQVcJiua_wheSN1WXxRVvXdwjtOZBokvJ8LqFIZH_cZmKQ/viewform?usp=send_form Also, early bird tickets ($150) are still available! Now's a great time to register. Register here: https://mlcsf19.eventbrite.com?discount=pipelineio

  • Scale by the Bay := Data Engineering + Data Science + Deep Learning + ML + AI

    Reserve your seat soon with the code MEETASTF15 for a 15% discount off of regular admission! RSVP Here: https://www.scale.bythebay.io/register Scalable Distributed Systems This is a core theme of the conference — we know how to build scalable systems to serve the world’s most complex business challenges. We hear from the creators of Kubernetes, Lucene/Solr, and see the deployment of Microservices, Serverless, and programmable infrastructure at Capital One, Lyft, Twitch, and Target. Joe Beda, VMware, Kubernetes as a Platform Platform Grant Ingersoll, Lucidworks, Search as the new Data Warehouse Muktesh Mishra, Capital One, Run Like a Boss in Cloud: How Istio & Kubernetes are Changing the Microservices Completely Shiv Toolsidass, Sharanya Santhanam, Lyft, Enabling real-time querying of Data using Apache Druid, Flink, and Kafka Jason Swartz, Twitch, High-Performance Serverless Functions in Scala Adelbert Chang, Target, Everything old is new: today’s infrastructure as yesterday’s Internet Data Pipelines End to end data pipelines was an SBTB theme since inception. We are the original data engineering community, and with the ascent of data science and ML/AI a necessity, we show how data is served to decision making in real-time. We hear from Salesforce, Dremio, Netflix, and Pipeline.AI how data is driving user experience and how it is processed by the best of breed OSS. Thomas Gerber, Salesforce, From Datasets to Tables in a Multitenant Datalake Jacques Nadeau, Dremio,Vectorized Query Processing for CPUs and GPUs using Apache Arrow Jeremy Smith, Jonathan Indig, Netflix, Solving the Scala Notebook Experience Matthew Tovbin, previously Salesforce, Fun with AutoML Chris Fregly, Pipeline.AI, End-to-End ML Pipelines with KubeFlow and TensorFlow Extended (TFX) Functional Programming Another core theme, and belief, in our communities is correctness by design, abstractions liberating from boilerplate, and functional programming solutions to the life’s hardest problems through referential transparency, immutability, and thoughtful reasoning about systems across the stack. We see full-stack application of FP across languages and domains — language, radio, GUI, and databases. Krzysztof Cieslak, Hacking F# in the JS ecosystem James Earl Douglas, Functional Electromagnetism Umayah Abdennabi, Grammarly,Thank you, next: Iterators Oli Makhasoeva, Andy Scott, 47deg and Stripe, Recursion Schemes with Higherkindness Rob Norris, Alexander Ioffe, Gemini and Nasdaq, Quill+Doobie == Better Together Engineering Effectiveness In order to master vast codebases, empower great teams and improve your own productivity and enjoyment of programming, we focus on where developers spend the bulk of their time — developing, compiling, tooling, and performance tuning. We hear from Twitter engineering effectiveness, JetBrains, the maker of the industry’s favorite IDE, dive into Scala Native, and see how Rust is affecting the backend ecosystem. Danny McClanahan, Stu Hood, Twitter, Massively Parallel Distributed Scala Compilation… and You! Justin Kaeser, JetBrains, Integrating Developer Experiences - Build Server Protocol and beyond Richard Whaling, M1 Finance, A brief introduction to systems programming, with Scala Native Evan Chan, Rust and Scala, Sitting in a Tree These are just a few facets of Scale By the Bay 2019 — review the full schedule at https://scale.bythebay.io and keep an eye for the updates! Reserve your seat soon with the code MEETASTF15 for a 15% discount off of regular admission! RSVP Here: https://www.scale.bythebay.io/register

  • KubeFlow, TFX, GPU/TPU, Spark, TensorFlow, Kubernetes, Kafka, Scikit

    Online Workshop - See Details Below

    Title [1 hr Free Workshop] KubeFlow, TensorFlow Extended (TFX), Airflow, GPU, TPU, Spark ML, TensorFlow AI, Kubernetes, Kafka, Scikit-Learn Agenda Hands-on Learning with KubeFlow, TFX, TensorFlow, GPU/TPU, Kafka, Scikit-Learn and JupyterLab running on Kubernetes. Date/Time 9-10am US Pacific Time (Third Monday of Every Month) ** RSVP & LOGIN HERE ** Eventbrite: https://www.eventbrite.com/e/1-hr-free-workshop-pipelineai-gpu-tpu-spark-ml-tensorflow-ai-kubernetes-kafka-scikit-tickets-45852865154 Meetup: https://www.meetup.com/Advanced-KubeFlow/ Zoom: https://zoom.us/j/690414331 Webinar ID:[masked] Phone: [masked] (US Toll) or [masked] (US Toll) Related Links PipelineAI Home: https://pipeline.ai PipelineAI Community Edition: https://community.pipeline.ai PipelineAI GitHub: https://github.com/PipelineAI/pipeline PipelineAI Quick Start: https://quickstart.pipeline.ai Advanced KubeFlow Meetup (SF-based, Global Reach): https://www.meetup.com/Advanced-KubeFlow/ YouTube Videos: https://youtube.pipeline.ai SlideShare Presentations: https://slideshare.pipeline.ai Slack Support: https://joinslack.pipeline.ai Email Support: [masked]

  • [10% OFF] Zero to Deep Learning 5 day Bootcamp - San Francisco

    San Francisco State University

    Apply here: http://bit.ly/345IC3e 10% discount code: SPARK10OFF Zero to Deep Learning Bootcamp A 5 day full time training that brings you from Zero to Deep Learning® with Keras and Tensorflow 2.0. !!!All code updated to Tensorflow 2.0!!! 5 full days of Knowledge and Skill You’ll get versed in Data Visualization, Machine Learning, and Deep Learning. These are the elements that come together to make driverless cars, to recognize faces, to market products, and to drive big decisions from big data. Why Zero to Deep Learning? If you need to learn the foundations of Machine Learning and Deep Learning comprehensively and quickly, our 5-day Bootcamp is for you. It balances breadth and depth, and delivers you an immersive full-time introduction to cutting-edge ML and DL techniques using Python, Keras and Tensorflow. Who should attend? Software Engineers, Software Engineering Managers, and Data Analysts seeking to upskill in Machine Learning & Deep Learning. Machine Learning with Scikit: • Recognize where to use ML • Select best techniques • Manipulate data with Pandas • Visualize data with Matplotlib • Solve regressions & classifications • Evaluate model performance • Serve models with Flask & Heroku Deep Learning with Keras: • Understand DL fundamentals • Build Fully Connected Neural Networks • Train Convolutional Neural Networks • Design Recurrent Neural Networks • Discover Embeddings • Leverage Dropout & Batch Norm • Use GPUs to train faster Deep Learning with Tensorflow: • Discover why TensorFlow is popular • Turn Keras models into Estimators • Debug models with Eager Execution • Scale to large dataset with Data API • Learn about Core API • Tune performance with Tensorboard • Deploy models using cloud services You will Build: • Predict the price of a house • Detect language of a text • Recognize an object in an image • Classify the sentiment in a sentence • Forecast future energy consumption • Deploy an API that predicts phone location from wifi signal Why attend this Bootcamp • To quickly develop your practical skills in Machine and Deep Learning • You’re stuck with online training and want to develop your practical skills • 5 dedicated days to focus on learning ML and DL • You work in a company where ML and DL is becoming increasingly important, and you need to develop a relevant skill set • You are working in a project, or have an upcoming project which requires ML and DL skills • You are a manager and need a robust understanding of ML and DL to manage your team • Want to access new career opportunities or promotions Lead Instructor Francesco is the author of the Zero to Deep Learning book and founder of Catalit Data Science. He works at the cutting edge of Machine and Deep Learning training. Clients include both startups and Fortune 500s. His experience includes: • Lead Data Science instructor at General Assembly and The Data Incubator • Trainer at conferences including Pybay, ODSC, TDWI, AINext • Chief Data Officer and co-founder at Spire, a YC company that invented the first wearable device tracking breathing • Joint PhD in biophysics at University of Padua and Université de Paris VI What is included in the price? • 5-days in-person training led by Francesco Mosconi, expert ML and DL trainer • Customized hands-on labs developed to maximize your learning • Ability to download your labs at the end of the training • Access to a cloud GPU during the training and for 2-weeks afterwards • Expert advisory on your project between 5-6pm Mon-Thurs of the Bootcamp • Self-directed pre-work program to develop your Python skills (if required) • Live Slack support during the Bootcamp • Membership of the Zero to Deep Learning Slack and Facebook community • One copy of the Zero to Deep Learning book • Breakfast, lunch, all-day refreshments • A really fun 5-days! Prerequisites: 1 year of experience in Python Apply here: http://bit.ly/345IC3e 10% discount code: SPARK10OFF

  • KubeFlow, TFX, GPU/TPU, Spark, TensorFlow, Kubernetes, Kafka, Scikit

    Online Workshop - See Details Below

    Title [1 hr Free Workshop] KubeFlow, TensorFlow Extended (TFX), Airflow, GPU, TPU, Spark ML, TensorFlow AI, Kubernetes, Kafka, Scikit-Learn Agenda Hands-on Learning with KubeFlow, TFX, TensorFlow, GPU/TPU, Kafka, Scikit-Learn and JupyterLab running on Kubernetes. Date/Time 9-10am US Pacific Time (Third Monday of Every Month) ** RSVP & LOGIN HERE ** Eventbrite: https://www.eventbrite.com/e/1-hr-free-workshop-pipelineai-gpu-tpu-spark-ml-tensorflow-ai-kubernetes-kafka-scikit-tickets-45852865154 Meetup: https://www.meetup.com/Advanced-KubeFlow/ Zoom: https://zoom.us/j/690414331 Webinar ID:[masked] Phone: [masked] (US Toll) or [masked] (US Toll) Related Links PipelineAI Home: https://pipeline.ai PipelineAI Community Edition: https://community.pipeline.ai PipelineAI GitHub: https://github.com/PipelineAI/pipeline PipelineAI Quick Start: https://quickstart.pipeline.ai Advanced KubeFlow Meetup (SF-based, Global Reach): https://www.meetup.com/Advanced-KubeFlow/ YouTube Videos: https://youtube.pipeline.ai SlideShare Presentations: https://slideshare.pipeline.ai Slack Support: https://joinslack.pipeline.ai Email Support: [masked]