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.
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.
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Time needed to complete a Machine learning project on oDesk.
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Machine learning oDesk freelancers typically receive a client rating of 4.74.
You should only hire me if you want a Data Scientist to create a solution to your problem. Math & Statistics: machine learning, statistical modeling, experiment design, Bayesian inference, Supervised learning: (decision tees, random forests, logistic regression), Unsupervised learning: (clustering, dimensionality reduction), Optimization: (gradient descent and variants) Programing & Database: Computer science fundamentals, Python, R, SQL, NoSQL, relational algebra, parallel databaes and parallel query processing, MapReduce concepts, Hadoop and Hive/Pig, custom reducers Domain Knowledge & Soft Skills: Passionate about the business, curious about data, influence without authority, hacker mindset, problem solver, strategic, proactive, creative, innovative and collaborative Communication & Visualization: Able to engage with senior management, story telling skills, translate data-driven insights into decisions and actions, visual art design, visualization (D3.js, ggplot, Tableau)
Accomplishments: I published eight peer reviewed journal papers including publications in prestigious journals such as transactions on Signal Processing and transactions on Geoscience and Remote Sensing. I authored, presented and published over ten conference papers at international technical conferences including IEEE Radar conference 2014 at Cincinnati. I am the first author for a US patent application on a new concept/invention named “Weighted OFDM modulation technology for Radar parameter estimation.” Below is a summary of my work experience: In my PHD work, I was also involved with two NASA funded projects at Geo-system Research Institute at Mississippi state university. My overall objective was to develop novel pattern recognition applications for analysis and improvement of existing satellite based hydrological datasets. As a postdoc at MSU, I was involved in a US Department of Defense funded project where the goal is to detect buried radioactive waste. I worked on a semi supervised learning approach for buried depleted uranium detection. In an another project on image processing, I proposed and implemented an advanced image processing algorithm for building detection in high resolution satellite imagery of an urban area. At the University of Maryland Eastern Shore, I participated in a DoD and National Science Foundation funded research on the adaptive radar. My responsibilities include development and implementation of cutting edge adaptive radar signal processing algorithms. List of specialized skills: § Machine Learning: Support Vector Machines, Feed Forward Neural Networks with Back Propagation, and Clustering Methods. § Regression : Multivariate Linear Regression § Optimization: Ant Colony Optimization § Feature Extraction: Current methods in Feature Construction, Selection and Reduction Processes. Relevance ranking etc. § Parameter Estimation: Sequential Bayesian Estimation, Variational Bayes. § Radar Waveform design: Mutual Information based techniques, OFDM, Water-filling Algorithms. § Spectral Analysis: Singular Value Decomposition (SVD), Multivariate Multi-taper SVD, Wavelet-based techniques
I am a passionate Software Engineer with a strong background in Machine Learning, Data Mining and high performance Web programming - I am writing Machine Learning Systems for production environments. To deliver the absolute best software quality is always my top priority. I write code with the intension for anyone to read and understand it as quickly as possible.
I have recently completed my Masters in Statistics & Informatics from IIT Kharagpur, one of the most highly rated Engineering institutes in India. Also in May,2012 I qualified Financial Risk Manager -Level 1 Examination successfully. I have great interest in Data analysis and Machine learning. Algorithms , data mining, Big data, & Statistical analysis are some of the fields which I aspire to be part of my job profile. During my 5 years course at IIT kharagpur I have worked on many projects and internship. May-July, 2012 I worked as a summer intern at GREQAM, Marseille France. In my other internship I have worked on projects at some of the companies and renowned Institues in India like IIM Ahmedabad & IIIT hyderabad. Most of my project have been related to Statistics & Machine learninig. I have programming experience with C, C++, Java, Python, R. I have used R & python extensively in all my projects related to data analysis & statistics.
Computer Science Engineer with broad experience in the following fields: Data Science, Machine Learning, Artificial Intelligence, Algorithms, Mathematics, Statistics and SW Engineering. I have master rank in Kaggle Machine Learning competitions and I love working with data. You can also check my LinkedIn profile here: fi.linkedin.com/in/yevgeniyivanchenko/
I have extensive experience in machine learning and data mining, including search engines, natural language processing, crowdsourcing and regression analysis. As part of my PhD study I also enjoy computer vision, especially what concerns face and emotion recognition. Note: I already have full-time job, so I can accept only short-term projects that I can deliver with high quality in a reasonable time.
Hi, I'm Peter. It's a pleasure to meet you. I am a software engineer with experience in web development, mobile development, game development, and research. I completed three years of a Ph.D. program in machine learning, where I made statistical models of how kids learn math. I left to work in the private sector, where I took what I learned about data curation, analysis, presentation, and applied it on a much larger scale. I also have had a few brief stints as a game developer. Once was for a research project on adaptive artificial intelligence, and another was for a startup in Boston, MA. I currently work as a full-stack web developer, where I write code that is used by thousands of companies each day. You can see a sampling of my personal projects at github.com/swirepe, or visit my (seldomly updated) personal site at swirepe.com
Anwar Saeed ( 13 June 1988) was born in Palestine. I am a researcher in “Theoretical Neuroscience” and “Machine learning“. I’m studying my Master degree in Informatics (With a focus on Computational Neuroscience and Machine Learning). I obtained my bachelor degree in Computer science in 2012 from PPU University. I am a tireless seeker of knowledge and love the connectivity and structure of the brain. I always strive to discover our brain . My eye for the brain that not only allows me to discover nervous system, but also allows me to define ourselves.