Top Deep learning Developers of July 2017
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
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
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%)
ex-Intern at The New York Times and Google. Machine learning and functional programming nut.
NLP and FP Enthusiast
Data Scientist with a strong passion for Natural Language Processing and Deep Learning. I have successfully applied Deep Learning solutions to real business problems. My favourite projects involve challenging problems with a strong research component. I have 3+ years of FP experience using Scala and Scala.js in production, having worked on back-end as well as front-end development. Furthermore, I am interested in code quality, optimisations and low-level development. I am an active contributor to open-source software and have authored several open-source libraries in Scala. I am a strong believer in auto-didactic learning and stay up-to-date with recent research trends in Machine Learning as well as Functional Programming. If you are a startup and need advice on your Machine Learning projects, I would love to provide some guidance. Languages: Scala, Java, Python, C Machine Learning: Keras, Torch, TensorFlow Low-level Development: C, Linux, Scala Native Mobile Development: Android Compilers: LLVM, ANTLR VCS: Git less
Software Engineer, Machine Learning Enthusiast
Experienced software engineer that loves solving problems. Fast learner, autodidact, always learning. Very good at analyzing complex problems and finding simple solutions. Built mobile apps (iphone/android), scaled backend infrastructures (java, aws), and played a lot with data. Have a background of in-depth understanding of computer networks, operating systems and information security. Now playing around with deep learning. Interested in self-driving cars and preventive healthcare. github.com/davidbrai medium.com/@davidbrai
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