Top Senior Tensorflow 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
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 :)
Machine Learning enthusiast and Engineer.
B.Sc in Computer Science, and M.Sc. in Natural Language Processing. Experienced in Machine Learning & Natural Language Processing applications, those are my true passion as well. Also focused on Software Engineering and shipping Softwares with recent technology stacks. Have experience in both research and industry.
PhD in Fluid Dynamics. Experienced developer in MATLAB, python and Flask, with experience ranging from startups to heavy industry.
A test-driven developer with strong background in data visualisation, computational geometry, optimisation and an increasingly strong machine learning skill set. I also have the attention to tedious detail required to create logically structured, swagger compliant, intuitive and well documented APIs and web services :)
Data Scientist | Analytics and Big Data Processing | Motivated, experienced, Cambridge PhD graduate
I am an expert Data Scientist currently employed to implement complex analytical software tools for large time-series energy consumption datasets, retrieved via smart meters (IoT). My experience is reflected in a wide range of analytical skills including: agile programming, statistics, machine learning and the theory, high-performance computing and (no-SQL) databases. Previously I completed a PhD in Bioinformatics at the University of Cambridge, UK where I was awarded one of the highest scholarships of Europe (Wellcome Trust Scholarship). During this time, I have published 2 first and 5 co-author papers in Journals such as Nature, Science and Genome Biology. Moreover, I implemented several software tools using Machine Learning to check quality of biological samples which is being used by hundreds of scientists across the globe. All in all I am a very motivated and hard working guy with a passion for data science and the ability to apply analytics onto real world business problems.
A problem breaker
6+ years of programming experience, Ex-EBAY
I am 2010 graduate batch from Michigan State University having Bachelors degree in Mathematics. From then I have worked with a breadth of companies from software giant EBAY to a 1 year old startups. In EBAY, I have lead a team of 4 engineers. I have solid grasp of software engineering and worked with very interesting technologies.
Teaching Assistant, Former SDE Intern at Amazon
If you are looking for Interview preparation for your next technical Interview I will be happy to help you in solving standard problems asked in interviews and develop a good approach for algorithmic problems. Other than That I can help you with : Python | Interview Preparation | Scikit-Learn | Pandas | Data Structure | Algorithms | Mathematics | Linear Algebra | Probability | Statistics | Data Science Some rules that I follow. 1. I will not accept any other mode of payment other than codementor. 2. I will refund the amount if you are not satisfied. 3. Rate for offline requests can be negotiated. 4. max( myrate, yourrequestRate ) will be applicable
Applied Researcher Machine Learning / AI
Hi I'm Yad. I build all day everyday! I currently do applied research and development in the field of machine learning. My background is in computer science, I introduce myself to new folks as a fullstack, half stack, any stack needed engineer. I've been a tech lead in a small sized team till recently to build over a dozen of production level products. I'm currently running a Research and Development team for machine learning. For me, the harder the challenges are, the more exciting they're to be tackled.
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