15 years of experience as a researcher and consultant on machine learning problems (predictive analytics, regression, classification, scoring, feature extraction, dimensionality reduction, NLP). Neural Networks, SVM, RMB, Deep Learning. Experience on Python, R, Matlab, SQL, Weka. More than 50 papers published in international journals
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 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
PhD in machine learning/data science/bioinformatics, with 4+ years of professional experience in industrial R&D (see www.zaslavskiy.org and my kaggle profile https://www.kaggle.com/users/1996/mikhail for more information). Some examples of problems I can help with: * Building a predictive statistical/machine learning model (gradient boosted trees, svm, elastic nets, neural nets etc.) * Proper statistical data analysis and visual representation * Design and planning of custom data collection protocols Most of the time I use R for fast prototyping/data analysis/automatic report generation and C++ to devolop the final product.
As PhD Engineer I am an experienced researcher and currently focus my work on quantitative analysis of financial markets exploring data, asking questions, doing “what if” analysis, questioning existing assumptions. I have ample knowledge of financial markets creating systems and analysing data from big time frames down to order-book data. Tools: Python, R, Matlab, Wolfram Mathematica, C#, F#. Also I have deep knowledge of machine learning, with deep learning networks as my favourite tool.
Hi I'm teacher and researcher in the University of Córdoba Argentina. I'm phd in Computer Science, my Phd thesis is in Natural Language Processing in the syntactic Parsing. I'm also auditor quality standards, ISO 9001. I worked 2 years in Motorola Company as a Perl senior programmer (2003 - 2005).
Over the last 3-4 years i have worked on a wide variety of projects in Machine Learning. I have worked on key machine learning projects at NICTA Research Labs Sydney and Microsoft Research India. I am highly interested in Pattern Recognition, Data Analysis, Image processing, Computer Vision. I have strong programming skills in C/C++, Java, Python and Matlab. I have developed a lot of applications using machine learning techniques (i.e. Support Vector Machines, Decision Tree, Deep Learning, Bayesian methods etc). I have strong experience in devising efficient algorithm for given problem statement.
Hello, my name is Petr. I graduated from Moscow Institute of Physics and Technology (20011, Russia) and got PhD in Applied Math and Computer Science at Inria (2015, France). I am specialized in developing and implementing algorithms to process large amount of data of various types. Particularly I have experience in machine learning and optimization techniques, linear algebra, statistical and math analysis. I am looking for a creative and interesting projects involving multidisciplinary fields and programming. My priority will always be to meet your needs and deadline. I prefer to communicate with the client to have clear understanding and vision of the project. Below, I list skills and experience: Scientific Programming: C++, python, Matlab OS: Linux, Mac OS, Windows Scientific Writing: https://scholar.google.ru/citations?user=xMTbJLcAAAAJ&hl=en
For the last three years, I took part in large projects for companies such as Telefonica and despegar.com involving diverse data science task such as: - Designing predictive models to predict churn, the propensity of clients purchasing certain products and text mining applications. - I have also experience in designing algorithms to optimize the expenditure in google adwords for large accounts. I hold a BSc in Economics and a MSc in Data mining, both from the University of Buenos Aires. I have also taken several online courses in order to learn programming, machine learning, convex optimization among other topics. Regarding programming, I'm comfortable using R, python, SAS and SQL for statistical modelling and data manipulation.