What we're about

Spark and Deep Learning Experts digging deep into the internals of KubeFlow, Spark Core, Spark SQL, DataFrames, Spark Streaming, MLlib, Spark ML, MLflow, Graph X, BlinkDB, TensorFlow, Caffe, Theano, OpenDeep, DeepLearning4J, etc.

Deeper than a blog post or typical meetup, we'll explore and discuss the best practices and idioms of the code base across many areas including Spark's JVM Bytecode Generation, CPU-cache-aware Data Structures and Algorithms, Approximations, Probabilistic Data Structures, Shuffle and I/O Optimizations, Streaming Micro-batch Scheduling, Performance Tuning, Configuration, Monitoring, Auto-Scaling, etc.

Upcoming events (5+)

[1 hr Free] PipelineAI, GPU, TPU, Spark, TensorFlow, Kubernetes, Kafka, Scikit

Online Workshop - See Details Below

Title GPU, TPU Workshop: PipelineAI, Spark, TensorFlow, Kubernetes, Kafka, Scikit-Learn Agenda Hands-on Learning with PipelineAI using GPU-based TensorFlow, GPUs, Kafka, and JupyterLab running on Kubernetes. Date/Time 9-10am US Pacific Time (Third Monday of Every Month) Agenda Hands-on Learning with PipelineAI using GPU-based TensorFlow, GPUs, Kafka, and JupyterLab running on Kubernetes. ** 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-Spark-and-TensorFlow-Meetup/events/jwhkqqyzdbxb/ 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 Spark and TensorFlow Meetup (SF-based, Global Reach): https://www.meetup.com/Advanced-Spark-and-TensorFlow-Meetup YouTube Videos: https://youtube.pipeline.ai SlideShare Presentations: https://slideshare.pipeline.ai Slack Support: https://joinslack.pipeline.ai Web Support and Knowledge Base: https://support.pipeline.ai Email Support: [masked]

[10% OFF] Deep Learning refresher with Keras and Tensorflow 1-day workshop

Tickets: https://www.dataweekends.com/sign-up/#refresher 10% Discount Code: SPARK10OFF Learn what deep learning is and learn to use open source software like Python, Keras and Tensorflow to build deep learning models on real world data. Curriculum The workshop is a refresher of all the important concepts in deep learning and provide a solid base to build deeper knowledge in the field. You will learn: - What Deep Learning is - How Machine Learning and Deep Learning are used in industry - Design and train a Neural Network using Keras - Approach Classification and Regression problems with Neural Networks - Go beyond fully connected networks with Convolutional and Recurrent layers Activities The workshop is conceived to maximize the learning experience for everyone and includes 50% theory and 50% hands-on practice. Is lunch provided Yes! Lunch is included. Are there any prerequisites? This intermediate 1 day workshops assumes you are familiar with Python and basic Machine Learning concepts. Familiarity with Deep Learning is not assumed but recommended. Why python? In the last few years Python has become a de-facto standard in data science and is widely adopted by most major companies. Why Tensorflow? There are many open source Deep Learning libraries. Tensorflow is backed by Google and is quickly becoming one of the most used libraries in the fields. It has a large and growing community of users and it is versatile and easy to learn. Why Keras? Keras is a nice abstraction layer for common operations and neural network modules. It allows the practitioner to focus on a higher level of understanding of how the network works and its training, without getting too distracted by the nitty-gritty details of module engineering. Instructor Francesco Mosconi is CEO and Chief Data Scientist at Catalit Data Science. He is the author of the 5-day Zero to Deep Learning Bootcamp and book and founder of Data Weekends. Francesco works at the cutting edge of Machine and Deep Learning training, helping Fortune 500 companies to up-skill through intensive training programs and strategic advisory. Tickets: https://www.dataweekends.com/sign-up/#refresher 10% Discount Code: SPARK10OFF

[10% OFF] Deploy Neural Networks to iOS using Keras and CoreML 1-day workshop

Tickets: https://www.dataweekends.com/sign-up/#tf-ios 10% Discount Code: SPARK10OFF Learn how to train and deploy an image recognition model to your mobile phone using Python, Keras and Tensorflow. Curriculum Learn how it's done, straight from a pro! In this 1 day workshop, you will learn to train a Neural Network that recognizes images of everyday objects and then you will deploy it to an iOS device (mobile phone or tablet). You will learn: - Train and debug neural networks for image recognition using Python and Keras - Transform a Keras model to a CoreML model - How to use the iOS Camera API and Vision API to run your CoreML model - Improve your Keras model using Compression and Quantization Techniques (Advanced) Activities The workshop is conceived to maximize the learning experience for everyone and includes 50% theory and 50% hands-on practice. Is lunch provided Yes! Lunch is included. Are there any prerequisites? This intermediate 1 day workshops assumes you are familiar with Python and basic Machine Learning concepts. Familiarity with Deep Learning is not assumed but recommended. Why python? In the last few years Python has become a de-facto standard in data science and is widely adopted by most major companies. Why Tensorflow? There are many open source Deep Learning libraries. Tensorflow is backed by Google and is quickly becoming one of the most used libraries in the fields. It has a large and growing community of users and it is versatile and easy to learn. Why Keras? Keras is a nice abstraction layer for common operations and neural network modules. It allows the practitioner to focus on a higher level of understanding of how the network works and its training, without getting too distracted by the nitty-gritty details of module engineering. Why CoreML and iOS? iOS is one of the most popular mobile Operative System. Core ML is the foundation for domain-specific frameworks and functionality. Core ML supports Vision for image analysis, Natural Language for natural language processing, and GameplayKit for evaluating learned decision trees. Instructor Fabrizio Milo is a passionate machine learning and deep learning practitioner, located in the bay area, he actively participates to various meetups on deep learning and tensorflow. He adopted tensorflow from the first releases and contributes to the project regularly. He is interested in distributed computing, knowledge graph reasoning and all things deep learning. Fabrizio holds a Master in Computer Science from the first University of Rome "La Sapienza." Organizer Francesco Mosconi is CEO and Chief Data Scientist at Catalit Data Science. He is the author of the 5-day Zero to Deep Learning Bootcamp and book and founder of Data Weekends. Francesco works at the cutting edge of Machine and Deep Learning training, helping Fortune 500 companies to up-skill through intensive training programs and strategic advisory. Tickets: https://www.dataweekends.com/sign-up/#tf-ios 10% Discount Code: SPARK10OFF

[10% OFF] Deploy Neural Networks to Android using Keras and TFLite 1day workshop

Tickets: https://www.dataweekends.com/sign-up/#tf-android 10% Discount Code: SPARK10OFF Learn how to train and deploy an image recognition model to your mobile phone using Python, Keras and Tensorflow. Curriculum Learn how it's done, straight from a pro! In this 1 day workshop, you will learn to train a Neural Network that recognizes images of everyday objects and then you will deploy it to an Android device (mobile phone or tablet). You will learn: - Train and debug neural networks for image recognition using Python and Keras - Transform a Keras model to a Tensorflow Lite (TFLite) model - How to use deploy your TFLite model to an Android device - Improve your Keras model using Compression and Quantization Techniques (Advanced) Activities The workshop is conceived to maximize the learning experience for everyone and includes 50% theory and 50% hands-on practice. Is lunch provided Yes! Lunch is included. Are there any prerequisites? This intermediate 1 day workshops assumes you are familiar with Python and basic Machine Learning concepts. Familiarity with Deep Learning is not assumed but recommended. Why python? In the last few years Python has become a de-facto standard in data science and is widely adopted by most major companies. Why Tensorflow? There are many open source Deep Learning libraries. Tensorflow is backed by Google and is quickly becoming one of the most used libraries in the fields. It has a large and growing community of users and it is versatile and easy to learn. Why Keras? Keras is a nice abstraction layer for common operations and neural network modules. It allows the practitioner to focus on a higher level of understanding of how the network works and its training, without getting too distracted by the nitty-gritty details of module engineering. Why TFLite and Android? Android is one of the most popular mobile Operative System. TensorFlow Lite is the official solution for running machine learning models on mobile and embedded devices. It enables on‑device machine learning inference with low latency and a small binary size on Android, iOS, and other operating systems. Instructor Fabrizio Milo is a passionate machine learning and deep learning practitioner, located in the bay area, he actively participates to various meetups on deep learning and tensorflow. He adopted tensorflow from the first releases and contributes to the project regularly. He is interested in distributed computing, knowledge graph reasoning and all things deep learning. Fabrizio holds a Master in Computer Science from the first University of Rome "La Sapienza." Organizer Francesco Mosconi is CEO and Chief Data Scientist at Catalit Data Science. He is the author of the 5-day Zero to Deep Learning Bootcamp and book and founder of Data Weekends. Francesco works at the cutting edge of Machine and Deep Learning training, helping Fortune 500 companies to up-skill through intensive training programs and strategic advisory. Tickets: https://www.dataweekends.com/sign-up/#tf-android 10% Discount Code: SPARK10OFF

Past events (224)

Re-Work Deep Learning Summit - Jan 24-25 - San Francisco

Hyatt Regency San Francisco

Photos (498)