DeepREM
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If you have a computer like mine, you probably have thousands of files stored haphazardly in folders or crowded on the desktop. Who has the time anymore to sort and organize these files? What if there was an autonomous agent that could? I am building DeepREM, a machine learning agent that links, indexes, and organizes documents while running in the background on your computer. Similar to how the human brain uses sleep to organize daily sensory input, DeepREM incrementally organizes your file contents systematically and hierarchically into virtual topics/classes/taxonomies based on metadata and text/numerical contents. It can be customized by automatically learning how you organize files. It’s much more than a file browser or search agent. And if you think it’s helpful for your personal computer, think what it can do to unlock the intelligence stored in all those PC hard drives across your company.
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Machine learning algorithms can be extremely powerful in pattern recognition and prediction, but they suffer from several well-known deficiencies in practice and scope. This has led to the evolution of new learning algorithms that unite concepts from cognitive neuroscience, educational psychology, and artificial intelligence. Examples of these algorithms are seen in self-driving cars, Go-playing computers, and conversational dialogue agents. The fundamental precepts and practical limitations of machine learning and deep learning, along with the principles behind active learning, transfer learning, reinforcement learning, apprenticeship learning, multi-task learning, meta-learning, and lifelong learning will be examined along with some examples. Ultimately, this talk aims to spark interest in new learning algorithms that fundamentally challenge us to broaden our notion of machine learning and its capabilities.
Behavioral Analytics for Financial Intelligence
Predictive analytics and machine learning has led to new methods for modeling human behavior and cognition. These methods are collectively known as behavioral analytics, focusing on how and why individuals and groups take actions and respond to them. This presentation discusses how financial services organizations are learning to leverage behavioral analytics for a broad set of applications that span customer insight, fraud detection, compliance, and market/investment intelligence.
Naive Bayes for the Superbowl
Nashville Machine Learning Meetup 2015 Kickoff, part 1 of our Foundations of Supervised Machine Learning series.
Neural Networks in the Wild: Handwriting Recognition
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Role of Data Science in ERM @ Nashville Analytics Summit Sep 2014
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Social media for business 一比一原版加拿大渥太华大学毕业证（uottawa毕业证书）如何办理
一模一样【q/微:1954292140】【加拿大渥太华大学毕业证（uottawa毕业证书）成绩单Offer】【q/微:1954292140】（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【q/微:1954292140】文凭即可
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三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
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8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
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对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
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DeepREM
- 1. DeepREM Nash Hack Weekathon Pitch Competition October 6, 2018 John Liu
- 2. Act I
- 3. We tell others our office looks like this...
- 4. ...what it actually looks like.
- 5. We say our computer desktop looks like this...
- 6. ...what it actually looks like.
- 7. Who has time anymore to sort and organize?
- 8. What if there’s a way to automatically organize our computer files?
- 9. DeepREM Introducing… A machine-learning agent that links, indexes, and organizes documents.
- 10. Act II
- 11. Similar to how the human brain uses sleep to organize daily sensory output...
- 13. Using information from image content...
- 15. DeepREM can be customized by learning how you organize your files.
- 16. Allowing you to search by concept in browser
- 17. Act III
- 19. Skills: OpenCV SQL Vue.js D3.js Python C/C++ ML - Clustering Subteams: Backend Machine Learning Database Web UI
- 20. Finale
- 21. DeepREM → search across home devices
- 22. DeepREM → Unlocking institutional knowledge
- 23. Join DeepREM!