Top Senior Data mining Developers - Dec 2017
Hire the ONLY Award-Winning Machine Learning Expert of CodeMentor
*** 100+ sessions COMPLETED with ONLY FIVE STARS ratings! *** I help companies use data to predict important tasks using machine learning models. Answering questions like: Will a customer stop buying from us? How much of this product are we selling next month? What product this customer is likely to be interested in buying? And many more! Check some articles I write about ML at: http://www.mariofilho.com I am a Kaggle Competitions Grandmaster, and my highest rank is 12th of 46,000+ data scientists. Machine Learning Competitions Results - 1st of 1323 at Caterpillar Tube Pricing Goal: model quoted prices for industrial tube assemblies that Caterpillar buys from multiple suppliers to help in the pricing of its final product - 1st of 974 at Telstra Network Disruptions Goal: create a model to predict service faults on Australia's largest telecommunications network - 3rd of 548 at Avito Duplicate Ads Detection Goal: create a model to detect duplicate ads in a Russian classifieds platform - 6th of 985 at Facebook Recruiting IV: Human or Robot? (Top 0.6%) Goal: Predict if an online bid is made by a machine or a human - 13th of 2125 at Home Depot Product Search Relevance (Top 0.6%) Goal: Predict the relevance of search results on homedepot.com
Solve your problems
3 years machine learning experience. 14 years software development experience. Deep Learning Foundation Nanodegree (Udacity) graduate Familiar with machine learning and deep learning techniques, libraries and toolkits. Familiar with scikit-learn, tensorflow, keras, nltk https://www.kaggle.com/maggiezhou I have participated in some Kaggle competitions: Home Depot Product Search Relevance, placed 59th/2125 (top 3%) Allstate Purchase Prediction Challenge, placed 94th/1568 (top 6%) Homesite Quote Conversion, placed 158th/1764 (top 9%) Acquire Valued Shoppers Challenge, placed 89th/952 (top 10%) Rossman Store Sales, placed 480th/3303 (top 15%) Otto Group Product Classification Challenge, placed 532th/3514 (top 16%)
(freelance developer ∪ consultant ∪ trainer) ∩ Python
I spend my days coding, learning news stuff and try to get things done, sometimes I fail but is a part of the process. I like to share my knowledge and passion for the things that I love to do, so whether you want to be a programmer or a better programmer I am here to help. I believe there is nothing more important than persistence to achieve your goals, if you have it your are halfway there.
Backend NLP Engineer
I am passionate about natural language processing generally, with specific interests in natural language understanding/generation and information extraction. I worked on Google's Speech and Keyboard team for approximately three years, during which time I built language models for a wide array of human languages. During this time, I honed my skills with and understanding of machine learning algorithms, in particular state-of-the-art neural network research. Before that, I had various internships in which I built full pipelines to extract information like topics, named entities, and relationships between entities. Much of the text with which I worked came from medicine (doctor's notes, etc.); I believe that areas such as medicine hold great promise as socially beneficial uses of NLP technology. In these projects, I primarily relied on older NLP technologies like SVNs, CRFs, HMMs, and Maximum Entropy classifiers. I am currently experimenting with the use of evolutionary programming in NLP, attempting to bridge the gap between human and machine-internal semantic representations.
Seasoned C/C++ coder with diverse experience from working for Apple to various start-ups
I honed my coding skill and expertise in machine learning at Apple. If you are a Mac or iPhone, my work is in there. My have worked in both low level algorithm implementation in C/C++ and application development in Objective-C, Swift and Java. After almost 10 years of tenure at Apple, I series short projects at various places, including start-ups like Lytro and Navdy and big companies such as Netflix. I love to use what I know to help others to jump start or to overcome obstacles.
Data Science | Data Engineering | Architecture | Web Development | Python | Java "Scala| R
I have worked on the web and big data projects. Helped organisations to build ETL tools and data science pipelines using JVM based languages and Hadoop ecosystem. I have also worked on REST based architectures and build systems to handle thousands of requests.
5+ years experienced Data Scientist with 2+ experience in Machine Learning
A data scientist with a passion for solving statistical, machine learning and data engineering challenges in the field of personalized/ customer data analytics, resouce optimization/ operations research, natural language processing and computer vision. I like to develop re-usable common frameworks, models and components that address repeatable machine learning tasks and problems/data sets. I ensure end-to-end deployment of the code succesfully into the operations. Coursera and Udacity are my best friends and keep me updated with the latest developments and skill enhancements. I have worked with large data sets for many different business sectors such as Retail, E-Commerce, Healthcare, Manufacturing. Strengths: Machine Learning, Deep Learning, Product Recommendation, Sales Forecasting, Data Cleaning, Data Visualization, Data Mining and Statistics Tools: Python, Tensorflow, Scikit, Tableau, QlikSense, QlikView, Excel
I've been building for the web since I was a teenager and have over a decade of experience -- but you never stop learning in this industry! I'm most often found working with PHP, a language on which multiple high-traffic sites I've managed are built upon, but I have experience and proficiency in a wide-range of technical areas, from server management to cryptocurrency programming. I'm enthusiastic about good quality code, user-experience, and helping people where possible.
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