• Deep Learning with TensorFlow Setup and Hackday

    The Junction Coworking

    In this 3 hour session, we will attempt to get everyone setup with tensor flow and git on their laptops, review how to use them, and hack on some TensorFlow models to begin working hands on with deep learning. If you want to get ahead, get started installing: https://www.tensorflow.org/get_started/get_started https://github.com/

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  • Introduction to Deep Learning/Neural Networks

    The Junction Coworking

    The next talk will be about Deep Learning which will be good preparation for the next hands on session which will be a 3 hour Saturday session in a few weeks. Deep learning (also known as deep structured learning, hierarchical learning or deep machine learning) is a class of machine learning (https://en.wikipedia.org/wiki/Machine_learning) algorithms (https://en.wikipedia.org/wiki/Algorithm) that: Use a cascade of many layers of nonlinear processing (https://en.wikipedia.org/wiki/Nonlinear_filter) units for feature extraction (https://en.wikipedia.org/wiki/Feature_extraction) and transformation. Each successive layer uses the output from the previous layer as input. The algorithms may be supervised (https://en.wikipedia.org/wiki/Supervised_learning) or unsupervised (https://en.wikipedia.org/wiki/Unsupervised_learning) and applications include pattern analysis (unsupervised) and classification (supervised). Are based on the (unsupervised) learning of multiple levels of features or representations of the data. Higher level features are derived from lower level features to form a hierarchical representation. Are part of the broader machine learning field of learning representations of data. Learn multiple levels of representations that correspond to different levels of abstraction; the levels form a hierarchy of concepts. See: https://en.wikipedia.org/wiki/Deep_learning

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  • Introduction to Unity Game Engine (2D game + C#)

    The Junction Coworking

    This is a Saturday morning meeting to introduce and build a simple 2D game in Unity, with C# coding behind the scenes. https://unity3d.com/ I'm not sure how interactive the demo will be due to the limited time to build a working game, but download and install Unity and you'll have it to play with before/during/after the talk.

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  • Free Friday CoWork Day at The Junction

    The Junction Coworking

    Come and work from The Junction, I telecommute and work for AOL. Here's what makes this so cool: 1. We can collaborate, if you need help or want to bounce ideas off of someone... we're there together. 2. Water cooler discussions about how to flesh out a startup idea... lots of ideas came out of our tech transfer meetup. I'd like to see if i can detect heat loss from buildings using satellite thermal imaging, and sell the service. 3. Lots of good lunch places to carry on brainstorming sessions... 4. Learn from what others are doing. I code, work with cloud computing, big data... ask me what I'm doing and I'll tell you, maybe you can use the info, or we can collaborate on a project. Here are general directions/parking info: Head north on Lameuse St. Turn left on Dr. Martin Luther King Jr. Blvd. Turn left and park in the big parking lot. Walk around to the front of the building to enter on Howard Ave. When you get familiar with it, there is also a back door that is open during business hours.

  • Hack/Demo Night of Machine Learning with R and Python(?)

    The Junction Coworking

    Hack/demo of predicting survivors of the Titanic with machine learning. We have experienced R programmers that will do a walk through of how to approach solving the challenge. If we can get alternate solutions to present other methods (Python, ...) that would be great, so if you can share another way to tackle the challenge please join us for the meetup. I will schedule this at The Junction, and may move it to USM if possible to give the students a better chance to attend. For some download/install info on R and RStudio, checkout these links: https://www.r-project.org/about.html https://www.rstudio.com/ Preview the task: https://www.kaggle.com/c/titanic Please download the datasets beforehand.

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  • Free Friday CoWork Day at The Junction

    The Junction Coworking

    Come and work from The Junction, I telecommute and work for AOL. Here's what makes this so cool: 1. We can collaborate, if you need help or want to bounce ideas off of someone... we're there together. 2. Water cooler discussions about how to flesh out a startup idea... lots of ideas came out of our tech transfer meetup. I'd like to see if i can detect heat loss from buildings using satellite thermal imaging, and sell the service. 3. Lots of good lunch places to carry on brainstorming sessions... 4. Learn from what others are doing. I code, work with cloud computing, big data... ask me what I'm doing and I'll tell you, maybe you can use the info, or we can collaborate on a project. Here are general directions/parking info: Head north on Lameuse St. Turn left on Dr. Martin Luther King Jr. Blvd. Turn left and park in the big parking lot. Walk around to the front of the building to enter on Howard Ave. When you get familiar with it, there is also a back door that is open during business hours.

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  • Google Hangout to help install R and RStudio to prepare for hack night

    In preparation for our hack / demo night working with machine learning and the titanic dataset, we can help with R and RStudio installation. The hangout link is: https://plus.google.com/hangouts/_/csrwebconsulting.com/r-install-help?hceid=YWxleEBjc3J3ZWJjb25zdWx0aW5nLmNvbQ.tefimoi2hlrvtkccnulufvf6k0&authuser=0 For some download/install info on R and RStudio, checkout these links: https://www.r-project.org/about.html https://www.rstudio.com/ Preview the task: https://www.kaggle.com/c/titanic

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  • Free Friday CoWork Day at The Junction

    The Junction Coworking

    Come and work from The Junction, I telecommute and work for AOL. Here's what makes this so cool: 1. We can collaborate, if you need help or want to bounce ideas off of someone... we're there together. 2. Water cooler discussions about how to flesh out a startup idea... lots of ideas came out of our tech transfer meetup. I'd like to see if i can detect heat loss from buildings using satellite thermal imaging, and sell the service. 3. Lots of good lunch places to carry on brainstorming sessions... 4. Learn from what others are doing. I code, work with cloud computing, big data... ask me what I'm doing and I'll tell you, maybe you can use the info, or we can collaborate on a project. Here are general directions/parking info: Head north on Lameuse St. Turn left on Dr. Martin Luther King Jr. Blvd. Turn left and park in the big parking lot. Walk around to the front of the building to enter on Howard Ave. When you get familiar with it, there is also a back door that is open during business hours.

  • The R programming language and visualizing map data using R

    The Junction Coworking

    Our guest speaker for this meeting will be Edgar Ruiz from RStudio! Live Stream for those that can't make it: https://www.youtube.com/watch?v=02cLRHbZuIA Agenda: • Group updates and introductions • Introduce the R programming language. • Introduce RStudio IDE • Review a couple of examples of how we can use R to visualize longitude/latitude. • Q&A session • Networking / open discussion R is a language and environment for statistical computing and graphics. R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, …) and graphical techniques, and is highly extensible. One of R’s strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed. RStudio is a powerful and productive IDE/user interface for R. It's free and open source, and works great on Windows, Mac, and Linux. For some quick info on R and RStudio, checkout these links: https://www.r-project.org/about.html https://www.rstudio.com/ Here are general directions/parking info: Head north on Lameuse St. Turn left on Dr. Martin Luther King Jr. Blvd. Turn left and park in the big parking lot. Walk around to the front of the building to enter on Howard Ave. When you get familiar with it, there is also a back door that is open during business hours.

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