雇佣自由职业者Jupyter开发人员和工程师
Alex Risman
In Alex's current role, he uses artificial intelligence to automatically detect diseases in 2D and 3D medical images along with some algorithms to achieve superhuman performance. Previously, 他在一家电子商务公司担任数据科学家, 他在哪里建立并部署了一个基于深度学习的产品搜索引擎.
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Mikayel Samvelyan
拥有牛津大学硕士学位, Mikayel is a machine learning expert and data scientist specializing in natural language processing, computer vision, 强化学习. He has substantial experience in research and development of deep learning solutions and has worked at such companies as Reddit, Mentor, and USC. Mikayel has co-authored several scientific publications at leading machine learning conferences.
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Matthew Alhonte
Matt has officially worked as a Python-based data scientist for the past six years; however, he's spent the last ten at the intersection of stats and programming (before the term data scientist had caught on). He combines strong technical skills with a rigorous background in experiment design and statistical inference. More recently, 他一直专注于机器学习, 包括一些自然语言处理和计算机视觉.
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Cody Nash
Cody has experience in a range of fields from geobiology and medical genetics to data analytics for commercial clients. Along with validating genetic tests in a private clinic and developing software infrastructure to support analytics (including customizing Jupyter environments on Kubernetes clusters), 协助客户进行实验策划, data exploration, and model deployment. Cody的首选语言包括Python和R.
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Maximilian Hopf
Max is a data science and machine learning expert specializing in deep learning and natural language processing. He helped build one of Germany's most highly funded fintechs and successfully founded his own AI company in London. 马克斯的研究成果发表了一篇科学论文, 通过高级分析提高营销准确性, 并为体育赛事和客户行为的预测建立了可靠的模型.
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Darin Erat Sleiter
Darin是一名数据科学家和工程师，拥有斯坦福大学物理学博士学位. He's passionate about data and machine learning and has worked on data science projects across numerous industries and applications. Darin's co-founded an AI company and led a team of data scientists to build a product which uses machine learning and optimization techniques to reduce energy consumption in data centers. 他急切地等待着量子计算机的出现.
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Aymen Jaffry
Aymen has worked for 6+ years as a data scientist, machine learning engineer, and consultant. 他曾在许多行业工作，包括金融、广告和在线市场. He greatly enjoys using machine learning and statistics to build state-of-the-art and efficient solutions. He holds an M.S. in computational engineering from Harvard University and a master's degree in applied/theoretical mathematics from Ecole Centrale Paris.
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Daniel O'Huiginn
Daniel喜欢代码、文字和数据. 从Python开发人员开始, 他逐渐从网络后端工作转向更多数据驱动的项目. 在花时间研究经典的大数据和数据科学之后, he found a niche in investigative data journalism—learning skills he now likes to use more commercially.
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