Information Technology

Introduction to Machine Learning Algorithms Uploaded by brd10001 continuing-education Machine learning algorithms and applications. View Free Document
ODK Uploaded by buce higher-education Sample odk View Free Document
Machine Learning and Big Data at Foursquare Uploaded by brd10001 continuing-education Foursquare is now aware of 25 million places worldwide, each of which can be described by unique signals about who is coming to these places, when, and for how long. We employ a variety of machine learning algorithms at foursquare to distill these signals into useful data for our app and our platform. (c) Foursquare View Free Document
Machine Learning With Hadoop Uploaded by docguy continuing-education Presentation on Machine Learning techniques for Hadoop and a peek at the near future of ML on Hadoop. View Free Document
High Performance JavaScript Uploaded by brd10001 continuing-education Over the past couple of years, we've seen JavaScript development earn recognition as a true discipline. The idea that you should architect your code, use patterns and good programming practices has really elevated the role of the front end engineer. In my opinion, part of this elevation has been the adoption of what has traditionally been considered back end methodologies. We now focus on performance and algorithms, there's unit testing for JavaScript, and so much more. One of the areas that I've seen a much slower than adoption that I'd like is in the area of error handling. (C) N Zakas View Free Document
Node.js for front end developers Uploaded by hrdf continuing-education Do you write JavaScript? Congratulations, you're probably awesome at Node.js! While thinking about things from a server-side perspective might feel off-putting and unnatural, things like callbacks, storing data in JSON, and implementing actual websites probably do not. We'll go beyond getting Node installed and talk about how to quickly build a working web application, and demonstrate that Node can offer frontend developers more than just a new prototyping tool or way of creating endless chat servers. (c) G Means View Free Document
Honey I Shrunk the Database for Test and Dev Environments Uploaded by brd10001 continuing-education Why Shrink the Database. There are multiple reasons starting with accuracy. You don’t truly know how your app will behave in production unless you use real data. Production data is the ultimate in accuracy. A great presentation by V. Hurst. View Free Document
The Netflix API 2011 Uploaded by brd10001 continuing-education A great presentation about Netflix API and its features and upgrades. View Free Document
Machine Learning Generative and Discriminative Models Uploaded by docguy continuing-education 1. What is Machine Learning? ML applications, ML as Search 2. Generative and Discriminative Taxonomy 3. Generative-Discriminative Pairs Classifiers: Naïve Bayes and Logistic Regression Sequential Data: HMMs and CRFs 4. Performance Comparison in Sequential Applications NLP: Table extraction, POS tagging, Shallow parsing, Handwritten word recognition, Document analysis 5. Advantages, disadvantages View Free Document
Cassandra Not Just NoSQL, It's MoSQL Uploaded by docguy continuing-education Cassandra - Not Just NoSQL, It's MoSQL View Free Document
Your API Is So 2006 Uploaded by docguy higher-education A summary look at the state of API from developers' point of view. View Free Document
Machine Learning in Science and Engineering Uploaded by docguy continuing-education Let computers learn to automate processes and to understand highly complex data. A presentation from Max Planck Society scientist. View Free Document
How To Evaluate a Web Design Uploaded by docguy continuing-education To learn more about the user experience design process, and how to evaluate a web design, browse through this presentation by Matt Schleyer's. Topics covered: 1) Best practices in web design 2) Common mistakes in web design 3) The right questions to ask about an existing design, or a proposed design 4) The role evolving technology can --and should-- play on your site View Free Document
Machine Learning for Knowledge Extraction from Wikipedia and Other Semantically Weak Sources Uploaded by techman continuing-education Wikipedia contains a wealth of collective knowledge but due to its semi-structured design and idiosyncratic markup mining this resource is a formidable challenge. This presentation examines techniques for mining semantically weak data sources for explicit facts. View Free Document
Real World Machine Learning at Orbitz Uploaded by hrdf continuing-education Learn about how Orbitz's tech team implemented machine learning at the travel site. View Free Document

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