I'm Scala enthusiast. I'm also interested in Machine Learning. ------ My duties: • Write server-side code, create high-volume production apps, and develop prototypes quickly. • Architect and build platforms and networking infrastructure (msg queues, DBs, load balancers and etc.). • Build and deploy tools to monitor company's entire network. • Be the guardian of the end-to-end performance and reliability of our services. • Influence team to mature company's technical infrastructure to next level. • Manage sysadmin(s) and be accountable for ensuring users can always use all of the services under my team's care. Experience (short version): Platforms ● OS: Android, Windows, Linux, iOS ● Cloud-computing: Amazon Web Services (EC2, S3, FPS), Google App Engine, Heroku Technologies: ● Scala: Spray, Akka, SBT, ScalaTest ● Java: J2SE, J2EE, Java 8 features ● Java Frameworks/Tools: GWT, JUnit, JPA, Objectify, Apache Commons, Guice and Yourkit profilers ● C++: STL, Boost, ACE, Crypto++, GCC, ZeroMQ ● .Net: C#, WPF, XAML, WCF, IIS, ASP.NET, NUnit, MOQ, Ninject, Win 8 Metro, Resharper ● Other compilers/IDEs/Languages: Visual Studio, IntelliJ IDEA, x86 Assembly, GCC, gdb, PHP ● DBs / caching / clustering: MySql, MS SQL, Oracle, Google DataStore, MongoDB, Redis, ElasticSearch ● Debugging: DevPartner Studio (BoundsChecker), SoftIce, OllyDbg, IDA Pro, GDB, Reverse engineering, Code protection ● Source control, build management/control and installers: Git, SVN, Maven, SBT, Ant (NAnt), Hudson/Jenkins, NSIS, InstallShield Specialties: software architecture design, technical leadership, software development, reverse engineering
Machine learning Job Cost Overview
Typical total cost of oDesk Machine learning projects based on completed and fixed-price jobs.
oDesk Machine learning Jobs Completed Quarterly
On average, 14 Machine learning projects are completed every quarter on oDesk.
Time to Complete oDesk Machine learning Jobs
Time needed to complete a Machine learning project on oDesk.
Average Machine learning Freelancer Feedback Score
Machine learning oDesk freelancers typically receive a client rating of 4.74.
I am a software developer with 15 years of experience and strong background in mathematics (M.Sc. in algebra). I'm excellent in algorithm design and algorithm analysis. I write well-tested and easy to maintain code. I know and can apply the most important machine-learning algorithms. My working history ranges from creating IPsec stack in C while working in Nokia Research Center to programming robotic waste sorting system in Clojure.
Blend of programming, data analysis, and communication skills. 18+ years experience. 60+ happy clients, 20+ testimonials and recommendation letters. I can improve functioning of your business properly making use of the data gathered in your company. This will give you competitive advantage over your competition. I analyse data, build statistical models, optimize business processes. The results and the conclusions are presented as readable and comprehensive charts and reports. I develop software for data analysis. See more info if needed: * Trainings in data analysis and R: http://quantup.eu/trainings/ * Data analysis services: http://quantup.eu/analyses/ * Scoring and predictive models: http://quantup.eu/analyses/scoring-and-predictive-models/ * Quality of work and clients: http://quantup.eu/quality/
I have experience of 3+ years of data mining in different fields like: computer vision, pattern recognition, text mining, natural language processing etc. For last year I took part in some big data projects using hadoop+java and map/reduce pattern. In my work I use python, java, R, c# and sql.
I joined IBM T.J. Watson Research, Industry Solution group in Spring 2012. I worked as a J2EE software engineer from 2006 to 2008. I obtained a Ph.D of Computer Science from University of California, Los Angeles, with major in Machine Learning and minors in Artificial Intelligence and Data Mining. I have been awarded the Most Outstanding Ph.D Graduate Award, the Northrup-Grumman Outstanding Graduate Student Research Award, the Chancellor Award for Most Outstanding Applicants, all from Computer Science Department, UCLA and the Chinese Government Award for Outstanding Chinese Students Overseas, 2010. I am interested in developing efficient algorithms and machine learning techniques to solve real world problems. I am also interested in problems on combinatorial optimization, data mining and information retrieval. I had worked as a consultant for many start-ups on various projects and I have solid background on both research and development. My home page: www.cs.ucla.edu/~danhe
Dr. Soumaya Chaffar, was a postdoctoral researcher in Nuance Communications and a holder of an NSERC (Natural Sciences and Engineering Research Council of Canada) industrial fellowship. Soumaya graduated from the University of Montreal, where she received her Master and her PhD in Computer Science. Her PhD thesis was concentrated on modeling emotional reactions in Intelligent Tutoring Systems using data mining techniques. After obtaining her PhD degree, Soumaya has been employed as a postdoctoral researcher at the School of Electrical Engineering and Computer Science of the University of Ottawa, her main concern was to propose and experiment promising ideas and approaches related to analysis and generation of emotion in textual data. She was a postdoctoral researcher in Nuance Communications where she worked on industrial projects related to sentiment analysis for speech technologies
I have developed some large systems for business enterprise, and I became experienced in a lot of technologies, like: JavaSE, JavaEE, C#, C++, a lot of DBs (MySQL, SqlServer, Oracle, PostgreSql, MongoDB), Hibernate, SOAP and RESTful services, and more (please ask me). I'm a experienced agile-way developer and I'm currently looking for short-term projects since I like to deliver good products as fast as possible. The better software are built interacting with clients and discovering his most important needs ASAP. My core knowledge relies on backend and webservice software: the entire backend and development cycle. But I have also good abilities on frontend development: Ajax, JSP, HTML, Swing, etc.
Software developer with 13 years of professional experience. Design and implementation of a machine learning system to cluster merchants offers into products for price comparison (semi supervised clustering) - core function of a mayor price comparison engine in germany. Also built a machine learning system to classify offers and products into a given taxonomy of categories. Participated sucessfully in machine learning competitions (learning to rank, document categorization). Preferred language is python.
I am a data scientist with a degree in Computer Engineering and a minor in Economics. Currently looking for jobs in the fields of machine learning, data mining, data visualization, natural language processing, text classification, document clustering, information extraction, and web scraping. Also have experience in mobile and web design. I am new to oDesk, but am a hard worker and am looking forward to helping you!
Hi, I am Lawrence, a PhD candidate at Stanford University, specializing in machine/deep learning and parallel computing. My interests primarily lie in using data to improve the accuracy and efficiency of systems to improve on tasks that are traditionally performed by people. My thesis specifically is on self-optimizing software using deep learning in order to run up to 50x faster. I am well experienced with machine learning, natural language processing, computer vision, and high-performance computing. For languages, I am proficient with Java, C, C++, Scala, CUDA, OpenCL, Python, Matlab, OpenCV, and web dev.