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Videos uploaded by user “Macgyver”
Push Docker Image to Docker Hub Remote Registry
 
04:15
In this video I show you how to push a local docker image to the remote repository Docker Hub. Commands needed - docker ps -a docker images docker push docker pull docker commit https://hub.docker.com/ https://cloud.google.com/container-registry/
Views: 4537 Macgyver
Train an Image Classifier in 3 Minutes
 
04:38
Using Tensor Flow and Docker, this tutorial will show you how to create an image classifier that can accurately identify any object in an image. Step 1 Stand Up a Tensor Flow Docker Container for Development Step 2 Download Training Data Step 3 Train the Neural Network Step 4 Make a Prediction of Novel Data GitHub Code https://github.com/MacgyverCode/Image-Classification-Example Tutorial Blog Post https://askmacgyver.com/blog/tutorial/create-image-classifier Install Docker https://askmacgyver.com/blog/tutorials/how-to-install-docker-on-ubuntu-14.04.4-x64 Wayixia Batch Image Chrome Extension https://chrome.google.com/webstore/detail/batch-image-downloadfull/ahajhopfbfpekcljjjppolcmapaidldc?hl=en
Views: 2770 Macgyver
How to Install Nginx and Setup a Website on a Digital Ocean Droplet
 
10:54
In this video I walk you through spinning up an Ubuntu digital ocean droplet, installing and running NGINX web server software. And then explaining how to use NGINX to serve up static files - which is the basis of a basic web server. Full Blog Post: https://askmacgyver.com/blog/tutorials/how-to-install-nginx-and-setup-a-website-on-a-digital-ocean-droplet
Views: 8635 Macgyver
How to Create, Push, & Pull a Docker Image from Docker Hub
 
16:55
In this tutorial I walk you through how to create a docker image, make changes to that image and push that image up to docker hub. I also teach you how to pull that image from docker hub and run a container of it. Full Blog Post: https://askmacgyver.com/blog/tutorials/how-to-create-push-and-pull-a-docker-image-from-docker-hub https://hub.docker.com/ https://cloud.google.com/container-registry/
Views: 21807 Macgyver
Transfer Learning - Use Inception V3 to Solve Any ML Problem (Tempo Detection)
 
05:54
This tutorial teaches you how to use Google's Inception v3 model to solve machine learning problems across various domains not just image classification. Specifically we will tackle a machine learning problem which is focused around audio (STEM) files. Instead of using the audio clips stored as normalized arrays of integers we instead pass the 10 second plots of the clips to the inception model performing transfer learning on the final layer and generating a very accurate and reliable predictor of the tempo of an audio file.
Views: 1494 Macgyver
Docker Hub Introduction Tutorial
 
14:18
In this video I provide an introduction to Docker Hub Docker remote repository. We pull an image from Docker Hub, make some edits, commit those edits to a new image then push that new image to our Docker Hub account in the cloud. https://hub.docker.com/ https://cloud.google.com/container-registry/
Views: 2820 Macgyver
How to Use Require.js to Load Javascript Libraries Asynchronously
 
10:19
Require.js RequireJS is a JavaScript file and module loader. It is optimized for in-browser use, but it can be used in other JavaScript environments, like Rhino and Node. Using a modular script loader like RequireJS will improve the speed and quality of your code. http://requirejs.org/ (http://requirejs.org/) Asynchronous Module Definition (AMD) The Asynchronous Module Definition (AMD) API specifies a mechanism for defining modules such that the module and its dependencies can be asynchronously loaded. This is particularly well suited for the browser environment where synchronous loading of modules incurs performance, usability, debugging, and cross-domain access problems. Performance When it comes to application or web page speed and performance, loading scripts asynchronously is of utmost importance. This allows the browser to render the page without waiting for resources to load. Synchronous XMLHTTPRequest Deprecation Browsers are deprecating synchronous AJAX requests among other methods in order to encourage developers to use asynchronous programming methods when issuing network requests. Full Blog Post: https://askmacgyver.com/blog/tutorial/how-to-use-requirejs-to-load-javascript-libraries-asynchronously
Views: 2761 Macgyver
Explanation of a Proxy and Reverse Proxy Web Server
 
12:05
This video is to explain the differences between a proxy server and reverse proxy web server. I also go into detail about how each of them are commonly used and the services they can provide.
Views: 19147 Macgyver
How to Access a Running Ubuntu Docker Container
 
02:33
In this video I walk you through how to actually access you running ubuntu docker container. Full Blog Post: https://askmacgyver.com/blog/tutorials/how-to-access-a-running-ubuntu-docker-container
Views: 8699 Macgyver
Keras TensorFlow Model in 7 Minutes
 
07:05
In this tutorial you will learn how to stand up a docker environment to do Keras TensorFlow development. Full Blog Post https://askmacgyver.com/blog/tutorial/create-keras-tensorflow-model Docker Image macgyvertechnology/tensorflow-keras-jupyter Run Command docker run -it -p 8888:8888 macgyvertechnology/tensorflow-keras-jupyter How To Install Docker https://askmacgyver.com/blog/tutorials/how-to-install-docker-on-ubuntu-14.04.4-x64
Views: 4514 Macgyver
How to Install Docker on Ubuntu 14.04.4 x64
 
03:32
How to Install Docker on Ubuntu 14.04.4 x64 In this video I walk you through installing docker on a digital ocean ubuntu droplet. Docker is an open platform for developers and sysadmins to build, ship, and run distributed applications, whether on laptops, data center VMs, or the cloud. Full Blog Post: https://askmacgyver.com/blog/tutorials/how-to-install-docker-on-ubuntu-14.04.4-x64
Views: 1252 Macgyver
How to Run Node.js Scripts from a Cron Job
 
05:30
In this tutorial I will teach you how to run node.js scripts automatically from a cronjob on an Ubuntu Linux system. Full Blog Post: https://askmacgyver.com/blog/tutorial/how-to-run-node-scripts-from-a-cron-job
Views: 6196 Macgyver
How To Manage Your Node.js Servers Using Forever
 
11:13
In this video you will learn how to run Node.js web servers indefinitely in the background and manage them using the npm package forever. Full Blog Post: https://askmacgyver.com/blog/tutorial/how-to-manage-your-node-servers-using-forever
Views: 2320 Macgyver
How To Run a Docker Container as a Daemon in the Background
 
04:00
In this video I walk you through how to stand up a docker container in the background as a daemon. Full Blog Post: https://askmacgyver.com/blog/tutorials/how-to-run-a-docker-container-as-a-daemon-in-the-background
Views: 1630 Macgyver
How to Setup Raspberry Pi 3 Model B+
 
09:06
This tutorial will guide you through setting up and configuring your Raspberry Pi 3 B+ from start to finish. SD Card Formatter www.canakit.com/tools/sdformatter Raspbian OS Download https://www.raspberrypi.org/downloads/ Flash Image Writer https://etcher.io/ The Raspberry Pi is a tiny and affordable computer that you can use to learn programming through fun, practical projects. A small and affordable computer that you can use to learn programming. This computer runs a flavor of Linux called Raspbian. https://www.raspberrypi.org
Views: 313 Macgyver
Easiest Way to Install an APK on An Android Virtual Device (Emulator)
 
07:52
In this tutorial I will walk you through the easiest way I've found on how to install any .apk file on Android Virtual Device. Keep in mind you don't need to use Google Drive to host the .apk file but I found Google Drive to be the easiest.
Views: 3287 Macgyver
How To Interface Between Multiple Docker Containers and Host
 
17:25
In this video you will learn how to connect to services within docker containers from the host and also from container to container. Full Blog Post: https://askmacgyver.com/blog/tutorial/how-to-interface-between-multiple-docker-containers-and-host
Views: 9512 Macgyver
Advances in Basketball Analytics with Alexander D'Amour Part 1
 
30:00
Speaker: Alexander D'Amour is the acting Neyman Visiting Assistant Professor in the Department of Statistics at UC Berkeley. He is completing his PhD in Statistics at Harvard University, where he was a member of the Harvard Laboratory for Applied Statistical Methodology & Data Science, lead by Edoardo Airoldi. He works on a wide variety of Statistics and Machine Learning problems with the goal of developing foundational principles for applied statistics and Data Science that unify themes in design, modeling, inference, and decision rules that cut across application areas and methodologies. To this end, he has undertaken research and consulting projects in document disambiguation, text analysis, epidemiology, education technology, e-commerce, entertainment, credit access in developing economies, and sports statistics. Alex is an active member of the XY Research group, which conducts research in sports statistics with a focus on player-tracking data, and a founding partner of Damyata, LLC, a Data Science consultancy. Abstract: In the[masked] season, the National Basketball Association, in conjunction with STATS LLC, implemented a league-wide program to collect player-tracking data for all NBA games. The data feed now provides 24-FPS records of all players' XY coordinates on the court, as well as XYZ coordinates for the ball. This data source has opened up new lines of inquiry into the quantitative analysis of basketball that have previously been hamstrung by a reliance on spatially naive box-score and play-by-play statistics. In this talk I will discuss several projects undertaken by myself and the XY Research group that use newly-available spatial data to work toward answering fundamental questions about basketball. Topics covered will include expected possession value (a.k.a, EPV, or a stock-ticker for a possession), defensive shot charts, the impact of ball movement, and play detection.
Views: 1318 Macgyver
How to Create and Access an Ubuntu Droplet on Digital Ocean
 
07:49
How to Create and Access an Ubuntu Droplet on Digital Ocean In this video I walk you though creating an Ubuntu droplet on digital ocean. I also show the steps needed to connect to the droplet via an ssh terminal session. Full Blog Post: https://askmacgyver.com/blog/tutorials/how-to-create-and-access-an-ubuntu-droplet-on-digital-ocean
Views: 6805 Macgyver
How to Setup Wifi on Raspberry Pi 3 Model B+
 
01:53
This tutorial will show you how to setup WiFi on your RaspberryPi 3 Model B+ The Raspberry Pi is a tiny and affordable computer that you can use to learn programming through fun, practical projects. A small and affordable computer that you can use to learn programming. This computer runs a flavor of Linux called Raspbian. https://www.raspberrypi.org
Views: 245 Macgyver
How to Setup a Fully Automated Gulp Build Workflow
 
36:04
In this tutorial you will learn how to implement a fully automated gulp workflow environment. Once configured this setup will allow you to serve performant content to users without the need for manual builds. Gulp: http://gulpjs.com/ Full Blog Post: https://askmacgyver.com/blog/tutorial/how-to-setup-a-fully-automated-gulp-build-workflow
Views: 3603 Macgyver
How to Tag a Docker Image
 
04:20
In this tutorial we go over how to add a tag to your Docker image.
Views: 370 Macgyver
How to Capture Mobile Device Network Traffic
 
06:06
In this tutorial I will walk you through the process of capturing http/https network traffic originating from your mobile device. This is useful for understanding what native apps and mobile websites are doing at the network level. Full Blog Post: https://askmacgyver.com/blog/tutorial/how-to-capture-mobile-device-network-traffic
Views: 7128 Macgyver
Tour of Capital Factory in Austin Texas
 
02:22
Capital Factory was kind enough to give us a tour of a large portion of their facility located in Austin, Texas. They were incredibly welcoming and helpful. Capital Factory’s mission is to be Austin’s center of gravity for entrepreneurs. Last year 32,000 entrepreneurs, programmers and designers gathered day and night for meetups, classes and coworking. You should come to Capital Factory to: Hone your skills at meetups and hackathons Find your co-founder Build a Minimum Viable Product Meet your first angel investors and VCs Find lighthouse customers Keep your costs low Grow your team Quit your job and become an entrepreneur.
Views: 290 Macgyver
Javascript History Push State API
 
15:26
In this video I will walk you through the javascript history API and show some ways to leverage this in your website.
Views: 4336 Macgyver
How to Share Private Docker Images with Collaborators
 
03:45
In this video you will learn how to share your private docker images with other users. Full Blog Post: https://askmacgyver.com/blog/tutorial/how-to-share-private-docker-images-with-collaborators
Views: 196 Macgyver
Basic Docker Commands for Container Management
 
03:06
In this video I walk you through some basic docker management commands including, stop, delete, and list. Full Blog Post: https://askmacgyver.com/blog/tutorials/basic-docker-commands-for-container-management
Views: 631 Macgyver
How to Track Real Time Front End Javascript Errors in Google Analytics
 
11:05
This tutorial will show you how to track front end javascript errors in realtime with Google Analytics. Git Hub Code: https://github.com/MacgyverCode/Blog-Tutorials/tree/master/track-front-end-errors Full Blog Post: https://askmacgyver.com/blog/tutorial/how-to-track-real-time-front-end-javascript-errors-in-google-analytics
Views: 337 Macgyver
Machine Learning Project Management
 
01:04:38
Machine learning is still very much in its infancy and as a result there aren't a whole lot of vetted paths for managing both the structure and timeline of projects. In this talk Ron Soferman of RSIP Vision discusses and outlines clearly the following components for effectively managing machine learning projects. - Defining Success - How to Form a Timeline - Pitfalls to Avoid - Which technologies to Use and Why Ron has decades of experience in the field and has worked on a number of projects from a wide range of clients. RSIP Vision provides Computer Vision and Image Processing consulting and algorithms for the broadest range of activity sectors: from precision agriculture to medical applications (cardiology, pulmonology, ophthalmology and others); from microscopy image analysis to OCR, semiconductors, classification and all kind of machine learning projects. Our engineers are experts in deep learning and in all the most advanced computer vision techniques.
Views: 759 Macgyver
Create an Image Classifier and Sell it On a Marketplace
 
01:20:59
So you've created an interesting algorithm (or you intend to). Great! But then what? How do we deploy and license a potentially commercially viable model to a business or software developer who can actually leverage our work to improve their user applications or further business objectives? There are a number of ways to make money in Machine Learning. Machine learning engineers currently command among the highest tech engineer salaries. But if we want to work independently, have time restrictions, or simply want to have the flexibility to work on the projects of our own choosing what options are available to us? In this Meetup we will walk you through a full demo showing you how to create a commercially viable model, upload that model to an API marketplace, and begin selling access to that work. We will be using TensorFlow (https://www.tensorflow.org/) as our machine learning framework and Macgyver (https://askmacgyver.com/) as our API platform (https://askmacgyver.com) (https://askmacgyver.com/). Code Tutorial: https://github.com/MacgyverCode/Image-Classification-Example
Views: 279 Macgyver
Setup HTTP Server on Raspberry Pi
 
04:38
In this tutorial we will show you how to setup a basic HTTP server on a Raspberry Pi. In addition we will show you how to make calls and expose this server on your local network. The Raspberry Pi is a tiny and affordable computer that you can use to learn programming through fun, practical projects. A small and affordable computer that you can use to learn programming. This computer runs a flavor of Linux called Raspbian. https://www.raspberrypi.org
Views: 45 Macgyver
Rob Speer of Luminoso Discusses Natural Language Processing
 
48:07
Rob Speer is the chief scientist at Luminoso. He is an alumnus of the MIT Media Lab, where he worked on the ConceptNet project, an open, multilingual semantic network. With ConceptNet as a foundation, he developed a system that analyzes natural language text and represents its word meanings as embeddings in a vector space, which would become the foundation of Luminoso. At Luminoso, he directs the NLP research and data science that improves the effectiveness of Luminoso's software and makes new techniques possible in text understanding. He supports Luminoso's contributions to open-source software, including "ftfy", a tool for fixing Unicode errors that has been recommended by the Awesome Python list (http://awesome.re). He continues to develop and support ConceptNet, and uses it to produce state-of-the-art multilingual word representations, which perform better than popular systems such as word2vec at matching human intuitions about word meanings
Views: 349 Macgyver
Neural Network Performance Prediction for Early Stopping
 
59:41
In the neural network domain, methods for hyperparameter optimization and meta-modeling are computationally expensive due to the need to train a large number of neural network configurations. In this paper, we show that a simple regression model, based on support vector machines, can predict the final performance of partially trained neural network configurations using features based on network architectures, hyperparameters, and time-series validation performance data. We use this regression model to develop an early stopping strategy for neural network configurations. With this early stopping strategy, we obtain significant speedups in both hyperparameter optimization and meta-modeling. Particularly in the context of meta-modeling, our method can learn to predict the performance of drastically different architectures and is seamlessly incorporated into reinforcement learning-based architecture selection algorithms. Finally, we show that our method is simpler, faster, and more accurate than Bayesian methods for learning curve prediction.
Views: 390 Macgyver
Pull Docker Image to Docker Hub Remote Registry
 
01:13
In this video I show you how to pull a remote docker image from Docker Hub and download it locally. Commands needed - docker ps -a docker images docker push docker pull docker commit https://hub.docker.com/ https://cloud.google.com/container-registry/
Views: 431 Macgyver
Advances in Baskeball Analytics with Alexander D'Amour Part 2
 
29:56
Speaker: Alexander D'Amour is the acting Neyman Visiting Assistant Professor in the Department of Statistics at UC Berkeley. He is completing his PhD in Statistics at Harvard University, where he was a member of the Harvard Laboratory for Applied Statistical Methodology & Data Science, lead by Edoardo Airoldi. He works on a wide variety of Statistics and Machine Learning problems with the goal of developing foundational principles for applied statistics and Data Science that unify themes in design, modeling, inference, and decision rules that cut across application areas and methodologies. To this end, he has undertaken research and consulting projects in document disambiguation, text analysis, epidemiology, education technology, e-commerce, entertainment, credit access in developing economies, and sports statistics. Alex is an active member of the XY Research group, which conducts research in sports statistics with a focus on player-tracking data, and a founding partner of Damyata, LLC, a Data Science consultancy. Abstract: In the[masked] season, the National Basketball Association, in conjunction with STATS LLC, implemented a league-wide program to collect player-tracking data for all NBA games. The data feed now provides 24-FPS records of all players' XY coordinates on the court, as well as XYZ coordinates for the ball. This data source has opened up new lines of inquiry into the quantitative analysis of basketball that have previously been hamstrung by a reliance on spatially naive box-score and play-by-play statistics. In this talk I will discuss several projects undertaken by myself and the XY Research group that use newly-available spatial data to work toward answering fundamental questions about basketball. Topics covered will include expected possession value (a.k.a, EPV, or a stock-ticker for a possession), defensive shot charts, the impact of ball movement, and play detection.
Views: 223 Macgyver
How to Install and Configure RethinkDB on Ubuntu
 
21:14
In this tutorial I walk you through installing RethinkDB on an Ubuntu machine. I also go into setting up the web administration console. Full Blog Post: https://askmacgyver.com/blog/tutorials/how-to-install-and-configure-rethinkdb-on-ubuntu
Views: 1190 Macgyver
Style Transfer Tutorial for Images
 
12:38
In this tutorial we'll show you how to perform style transfer on images using TensorFlow and the Python Jupyter Notebook. Docker Image: https://hub.docker.com/r/macgyvertechnology/style-transfer/
Views: 50 Macgyver
Brendan McCord, Director of Mosaiq at Evolv Technology
 
49:12
Brendan McCord is Director at Evolv Technology, where he leads the software and intelligence team building Evolv’s real-time threat detection and prevention platform. Evolv is a Waltham-based startup backed by Bill Gates, General Catalyst, Lux Capital, and Data Collective that is comprised of a multi-disciplinary team of experts. Our goal is to reinvent physical security by combining powerful sensors, AI, and human IQ in a distributed system. The Mosaiq platform was built for today's threats and it introduces a proactive approach to security that shatters the status quo. Before joining Evolv, Brendan was a nuclear engineer, spent 610 days underwater, and graduated from MIT and Harvard Business School.
Views: 351 Macgyver
Regular Expressions Introduction: Leveraging Regex for Web Apps and Data Sifting
 
15:11
In this video I talk about how regular expressions can be used by web developers or dev ops engineers to sift through data or generally expedite development processes. I go over some basics of regular expression and talk about the various flavors of regex as well as demo two drivers; javascript and cURL.
Views: 68 Macgyver
How to Setup Chateau Database Interface for RethinkDB
 
17:23
This tutorial walks you through setting up Chateau for RethinkDB database management. [Chateau] is a data explorer that allows you to edit your RethinkDB data without writing query statements. The user interface is easy to navigate and use. When it comes to database software it can be helpful to have a graphical user interface to edit that data in addition to the standard query language. RethinkDB offers its own query language referred to as [ReQL]. [Chateau] is similar to [phpMyAdmin] for [MySQL] PHP stacks. Full Blog Post: https://askmacgyver.com/blog/tutorials/how-to-setup-chateau-database-interface-for-rethinkdb
Views: 330 Macgyver
Automatic Differentiation: An Abstraction for Machine Learning w/ Alex Wiltschko of Twitter Cortex
 
58:36
A painful and error-prone step of working with gradient-based models (deep neural networks being one kind) is actually deriving the gradient updates. Deep learning frameworks, like Torch, TensorFlow and Theano, have made this a great deal easier for a limited set of models — these frameworks save the user from doing any significant calculus by instead forcing the framework developers to do all of it. However, if a user wants to experiment with a new model type, or change some small detail the developers hadn’t planned, they are back to deriving gradients by hand. Fortunately, a 30+ year old idea, called “automatic differentiation”, and a one year old machine learning-oriented implementation of it, called “autograd”, can bring true and lasting peace to the hearts of model builders. With autograd, building and training even extremely exotic neural networks becomes as easy as describing the architecture. It’s fast, it’s easy, and you should probably be using it. Bio: Alex Wiltschko is a neuroscientist-turned-engineer working on the next generation of machine learning tools in Twitter Cortex, the social media company’s machine learning group. Thank you to Rakuten for hosting this event!
Views: 251 Macgyver
Singularity and Threats of Artificial Intelligence
 
15:16
What happens when artificial general intelligence exceeds our capabilities? In this video I have some fun discussing the current state of artificial intelligence and the potential threats of artificial intelligence.
Views: 37 Macgyver
Object Recognition in Robots with Stefan Zickler
 
28:21
Ever wonder how robots recognize different objects? Using Real-Time RGB-D Person Detection on Embedded GPUs, robots are now able to identify and interact with humans in real time. Stefan Zickler, Principal Robotics Engineer for iRobot, describes the systems used on their Roomba robots and the challenges involved in teaching a robot to move freely around the world we live in. Thanks to the CIC in Cambridge, Ma and iRobot for having us out at this event!
Views: 124 Macgyver
Mobile Apps With the Web: Using IONIC and ANGULAR (Mike Hartington)
 
30:00
Angular 1 and ionic were a perfect matching when needing to build a mobile app. But with angular 2, ionic has gone back to the drawing boards to improve on what they've already created. We'll look at the basic concepts of an angular 2/ionic 2 app and see where both frameworks have improved on the previous versions. Mike Hartington (Twitter): @mhartington http://mhartington.io/
Views: 483 Macgyver
Chief Architect Richard Crane Discusses MILL5 Architecture
 
47:00
MILL5 is a consulting and product company who believes they can help customers do innovating things while focusing in cloud and mobil enterprise in a variety of industries. Mill5 is an easy solution for developers to share work. Rich is the Founder and Chief Architect of MILL5. He is responsible for setting the technical direction and strategy of MILL5. Thanks to Amazon for having hosting this event and Mill5 for presenting! Visit www.mill5.com for more info
Views: 59 Macgyver
What is Raspberry Pi?
 
01:16
The Raspberry Pi is a tiny and affordable computer that you can use to learn programming through fun, practical projects. A small and affordable computer that you can use to learn programming. This computer runs a flavor of Linux called Raspbian. https://www.raspberrypi.org
Views: 15 Macgyver
Security that Works in a Changing World with Brendan McCord
 
18:22
Brendan McCord of EvolvTechnology discusses some of their latest pursuits in leveraging machine learning and artificial intelligence to provide solutions for businesses and government authorities.
Views: 101 Macgyver
How to Set Up Google Analytics with A Hacking Defense Filter
 
15:56
This video will show you how to setup Google Analytics with a hacking defense to remove illegitimate data from your reports. It will also discuss how tracking scripts work and provide a better understanding behind Google Analytics. Full Blog Post: https://askmacgyver.com/blog/tutorial/how-to-set-up-google-analytics-with-a-hacking-defense-filter
Views: 40 Macgyver
Twitter Boston: A talk with Andrea Falcone of FASTLANE
 
26:39
Continuous, Reproducible Delivery with Fastlane [Andrea Falcone @asfalcone] How would you like 2 extra hours of your time back every week? All mobile app developers face similar workflows as they work to upload an app to the App & Play Store. Many of these processes are currently done manually, but why not automate them? Fabric’s set of developer tools, collectively called fastlane, makes building, testing, and releasing your app faster, reproducible and less troublesome, leaving developers more time to focus on feature code and not deployment! Learn how you can automate the tedious tasks to generate release notes, screenshots and push your final submission straight to the iTunesConnect or Google Play portal effortlessly from your command line with a powerful open source tool.
Views: 46 Macgyver
Twitter Integration: Evolving Your Mobile Game Idea with Fabric
 
17:28
[Matthew Willis @mattwillis, Konstantin Mandrika @kmandrika] So you have a great mobile game idea. You have all the levels planned out; you know all the characters like they’re your own family; you know exactly how the story will unfold. But if you want your game to be the next smash hit, there’s a lot more you have to consider once it’s launched. Is the game stable on the myriad of devices in the wild? Can people share their adventure with their friends so they are drawn into the experience as well? How do you cover your costs? We’ll show you how Fabric can help you answer these questions as your idea evolves into a successful game. Konstantin Mandrika (Twitter): @kmandrika Mathew Willis (Twitter): @mattwillis http://www.mrwillis.net/
Views: 28 Macgyver