Deep Learning Fundamentals Series

This webinar series covers deep learning fundamentals with a focus on Keras and TensorFlow. Deep Learning has shown tremendous success, but what makes it so special? What are neural networks, and how do they work? What are the differences between popular Deep Learning frameworks like Keras or TensorFlow, and where should you start? Webinar | Presentation | Notebook | Q&A Webinar | Presentation | Notebook | Q&A Webinar | Presentation | Notebook | Q&A

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Relaxing in Encinitas

Just north of San Diego, there is the wonderful town of Encinitas.  It is a nice relaxing surfer (or beach bum) town with excellent dining in the heart of the town itself. Juanitas Taco Shop A great little taco shop right off of North Coast Highway 101 that is not your normal tourist cafe – which is perfect!  While normally a corn tortilla fan, they have the best wheat tortillas.  This is a picture of the to-go carnitas plate where the beans are creamy, the rice is delicious yet light, the meat is flavorful, and the avocado and salsa were…

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Jump Start into Python and Apache Spark with Learning PySpark

For the last few years, I have had the opportunity to work on some of the coolest Apache Spark committers, contributors, and projects.  As luck would have it, I got the opportunity to meet my co-author Tomasz Drabas (author of the awesome Practical Data Analysis Cookbook) while we were solving some other cool Apache Spark projects.  In the process, we joined forces to share our lessons learned that will hopefully help you jump start your Python and Apache Spark projects with our book: Learning PySpark. And just to make sure, this book was reviewed by the incomparable Holden Karau, author of the…

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On-Time Flight Performance with GraphFrames for Apache Spark

Feature Image: NASA Goddard Space Flight Center: City Lights of the United States 2012 This is an abridged version of the full blog post On-Time Flight Performance with GraphFrames. You can also reference the webinar GraphFrames: DataFrame-based graphs for Apache Spark and the On-Time Flight Performance with GraphFrames for Apache Spark notebook. An intuitive approach to understanding flight departure delays is to use graph structures. Why Graph? The reason for using graph structures is because it is a more intuitive approach to many classes of data problems: social networks, restaurant recommendations, or flight paths.  It is easier to understand these data problems…

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Notebook Gallery

Here are some of the notebooks created to showcase various Apache Spark use cases. These are all using Databricks Community Edition which you can get at Try Databricks. You can also access the source from : https://github.com/dennyglee/databricks. JSON Support GLM in SparkR Window Functions  Random Forests DataFrame API ML Operations   Decision Trees Statistical Functions  Data Import  Data Exploration Quick Start Python Quick Start Scala  Ad-Tech Example Flight Delays  Genomics Mobile Sample   Pop vs. Price LR  Pop vs. Price DF  Salesforce Leads Spark 1.6 (Multiple)   Spark 1.6  

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In the context of quantum entanglement and time travel – Stargate may be more correct than Star Trek

Feature Image: Michael Bolognesi’s Diamonds in the Sky As a follow up to In the context of quantum entanglement and teleportation – Stargate may be more correct than Star Trek, I’m diving into one of SciFi’s persistent quandaries – time travel.  And before anyone gets started, I am a proud Trekkie so this is not meant as a knock on Star Trek.  In fact, I’ve already purchased my tickets for Star Trek Into Darkness and as fan of BBC’s Sherlock, I have to admit I’m sort of rooting for the villain this time around!   Image source: Benedict Cumberbatch – Star…

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Using Avro with HDInsight on Azure at 343 Industries

By Michael Wetzel, Tamir Melamed, Mark Vayman, Denny Lee Reviewed by Pedro Urbina Escos, Brad Sarsfield, Rui Martins Thanks to Krishnan Kaniappan, Che Chou, Jennifer Yi, and Rob Semsey As noted in the Windows Azure Customer Solution Case Study, Halo 4 developer 343 Industries Gets New User Insights from Big Data in the Cloud, a critical component to achieve faster Hadoop query and processing performance AND keep file sizes small (thus Azure storage savings, faster query performance, and reduced network overhead) was to utilize Avro sequence files. Avro was designed for Hadoop to help make Hadoop more interoperable with other…

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