到了大三的上学期，我了解到我们学校有一个公派交换的项目，这次项目只有两个名额，要求是托福达到95分。
• PhD in Statistics, Applied Mathematics, Applied Economics, Computer Science or Engineering, Data Science, Operations Research or similar applied quantitative field.• Experience in machine learning using R or Python (scikit / numpy / pandas / statsmodel) with skill level at or near fluency....
目前我的团队里有5个 Data Scientist 参加过 Insight。 其中两个Stanford new grad PhD， 剩下是早先...
He holds a PhD in Applied Computer Science from the Karlsruhe Institute of Technology in Germany. Contact Thomas Send e-mail to Thomas Erwin Open phone numbers of Thomas Erwin Open X profile of Thomas Erwin Open LinkedIn profile of Thomas Erwin ...
MS/PhD in Computer Science or equivalent fields (Electrical Engineering, Automation, Mathematics, Statistics, etc). In-depth understanding of computer vision, image processing, and machine learning. Strong skills in Python and C++/Objective-C development. Preferred Qualifications Solid research and develo...
The Computer Science group at the GSSI carries out high-quality, interdisciplinary research on algorithms, formal methods, and software analysis and development. The PhD program in Computer Science at the GSSI fosters theoretical and applied research on the above-mentioned fields, and ...
Files master .github content data members.yaml layouts static themes .Rprofile .gitignore .gitmodules LICENSE README.md config.toml cosx.Rproj index.Rmd netlify.toml
the school truly lives up to its history as a point of mobility for New York's working class. I graduated from the Colin Powell School for Civic and Global Leadership with a political science degree. Almost immediately after graduation I was able to work with a policy based non-profit, bas...
BS, MS or PhD in Computer Science, Statistics, Mathematics or related field 3+ years working on production ML data pipelines 2+ years of one or more of: named entity recognition, topic classification, knowledge graphs. Fluency with recent NLP & ML advancements, e.g., bert, attention, LSTM...
Increasingly, those challenges are faced by business analysts, data scientists, data engineers and other non-IT users. That's because software vendors have also developed self-service data preparation tools. Those tools enable BI users and data science teams to perform the required data prepar...