Top Deep learning Developers of June 2017
PhD, former university instructor and software engineer with 20 years of software development experience in MATLAB, Python, Java, C, and C++. Image Processing and Machine Learning are part of my all-balanced diet. Students get a 33% discount!
NOTE 1: Please note that if your language doesn't appear in my tags in my headline above, I probably don't know it! NOTE 2: I do not accept requests from those competing in algorithms competitions or want to solve problems requiring advanced knowledge of algorithms (HackerRank, TopCoder, etc.). Please refrain from these requests and look for another mentor. --- - Ph.D. (2013) - Electrical & Computer Engineering, Ryerson University, Toronto, Ontario, Canada: http://www.ee.ryerson.ca/ - Professional Engineer (P.Eng.) Designation - Province of Ontario, Canada - Former Vanier Canada Graduate Scholar (2010-2013): http://www.vanier.gc.ca/en/home-accueil.html - Currently an Advanced Computer Vision Engineer at Zebra Technologies: http://www.zebra.com - Was an instructor in various Electrical & Computer Engineering courses at Ryerson University: http://www.ratemyprofessors.com/ShowRatings.jsp?tid=1558334 - Research focus: Computer Vision, Image Processing, Machine Learning and Numerical Methods: http://scholar.google.ca/citations?user=5piX29gAAAAJ&hl=en - 20 years of software development experience in MATLAB, Python, Java, C and C++: http://ca.linkedin.com/in/rayryeng
Full stack developer. Any problem is just an opportunity to get creative.
World traveler, music geek and creative coder. I'm a full stack developer with emphasis in front end technologies Currently working in a machine learning project. I also like to combine art projects with technology :)
Technical Architect, Software Engineer/Developer, and a Roboticist with passion for Knowledge Flow
CTO/Deep learning Researcher (NLP) @ Neuron
I am the CTO/Deep Learning Researcher(NLP) at Neuron and supervise the research and development work of Neuron's core NLP platform. Area of work: - Deep Learning in NLP - Recurrent/Recursive Neural Nets, Convolutional Neural Nets, Attention Networks - Sequence Labelling, Sentence Classification, Auto encoders, Encoder-Decoder Models, Sentence Embeddings, Predictive Statistical Modelling - Machine Learning - Regression, Ensemble Learning, Neural Nets, Recommendation Systems Interested in working with: - Memory Networks - Deep Reinforcement Learning - Deep Generative Models - Optimization methods for DNNs - Deep Learning for Computer Vision
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%)
Data Science | Machine Learning | Pythonista
I'll do my best guiding you in areas of Data science,Machine/Deep learning,web development using Python, Version Control System (Git), and some hacks to be more productive. I've been to a lot of hackathons and have won some.Currently, I'm part Stanford's Scholar Initiative and doing independent research on Machine/Deep Learning. Also I am a core member of PyData community and have given some talks there and love to mentor people.
Data-related and CSS
I majorly work on machine learning algorithms. I am familiar with data-related language like Python/R/Matlab and the good practices for each of them. I also know CSS quite well, if you have encountered any hard alignment/strange behaviors, I can look at the code and find out some good solution.
Chief Technology Officer
Embedded Systems and VLSI Designs Combat Systems Integration C4ISR and Comat Management Systems (CMS) Net-Centric Warfare Digital Signal Processing with soecialisation in underwater signal procesing Data Science and Internet of Things (IoT) Predicitve Business Analytics Specialties: Research and Development of Military Systems Project Management
Haskell/functional programming pro and Amazon SDE.
I'm an Amazon SDE and ex-Microsoft RSDE. I've experience in a wide range of fields and technologies. From core computer science concepts to programming to building complicated industrial machine learning systems. I'm also a big fan of functional programming and have a in-depth grasp of Haskell and its related concepts.
Sr. Applied Data Scientist at Cognizant
Jaganadh Gopinadhan has 12 plus years of industry experience, most of which has been focused on research and development in Data Science, Machine Learning, Natural Language Processing, Text Mining and Analytics, Semantic Web and Big Data technologies. In his current role as Manager - Projects and Sr. Applied Data Scientist at Cognizant Technology Solutions Pvt. Ltd., he is responsible for the realization of Data Science and Big Data Projects, Text Mining and Natural Language Processing tools and projects. Before joining Cognizant, he spent time in WNS Global Services Pvt. Ltd. Bangalore, where he was serving as Lead Analyst. Prior to this, he spent time in various MNC's and government sponsored R&D labs in India. He has a Bachelors and Masters degree in Sanskrit(Literature and Indian Logic) from the University of Kerala in Thiruvananthapuram India Specialties: Data Science Natural Language Processing Machine Learning Big-Data Text Analytics Text Mining Semantic Web Sentiment Analysis Social Media Analytics Hadoop and Map Reduce Free and Open Source Technologies
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