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Data Science at Scale Specialization – University of Washington (Coursera) This course from the University of Washington is about scalable data management. It covers data science topics including scalable SQL and NoSQL data management solutions, data mining algorithms, and practical statistical and machine learning concepts.
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user’s search and click history. Our machine-learning framework consists of three mod-ules: (a) feature generation, (b) normalized discounted cumulative gain–based Lambda-MART algorithm, and (c) feature selection wrapper. We deploy our framework on large-scale data from a leading search engine using Amazon EC2 servers and present results
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Machine Learning Department at Carnegie Mellon University. Machine learning (ML) is a fascinating field of AI research and practice, where computer agents improve through experience. Machine learning is about agents improving from data, knowledge, experience and interaction...
About this Course. In this course, we'll cover advanced methods in machine learning. While linear models remain popular in industry, modern machine learning methods take advantage of increasingly complex algorithms to provide improved performance.
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Big Data, Machine Learning, Technology, Coding, and Entrepreneurship. Including PyCons, local Meetups, universities, companies, and congresses. He has a high level of study capacity and self-discipline combined with creative thinking. Therefore, he has been homeschooling since 1997, using alternative education systems, including e-learning,
Scalable Machine Learning with the Microsoft Machine Learning Server. ... Free Coursera Courses; ... University of Washington Courses online;
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Oct 12, 2013 · ## 无责任共享 Coursera、Udacity 等课程视频 ---- (本文是用 markdown 写的,访问 https://www.zybuluo. com/illuz/note/71868 获得更佳体验) ---- 【百毒云群组】 这个帖子是我三年前发的,当时还是学生党收集了不少资源,现在工作后时间越来越少,没法再更新资源和及时回复大家的留言。
If you paid for courses 5 & 6 via a pre-payment toward the Specialization, Coursera will be providing you with free access to two other courses offered by the University of Washington: Computational Neuroscience and Data Manipulation at Scale: Systems and Algorithms. More information regarding this opportunity will be shared in the upcoming weeks.
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AWS has significantly more services, and more features within those services, than any other cloud provider–from infrastructure technologies like compute, storage, and databases–to emerging technologies, such as machine learning and artificial intelligence, data lakes and analytics, and Internet of Things. University of Washington
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Mathematics for Machine Learning Specialization For a lot of higher level courses in Machine Learning and Data Science, you find you need to freshen up on the basics in mathematics - stuff you may have studied before in school or university, but which was taught in another context, or not very intuitively, such that you struggle to relate it to h...
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Mar 16, 2020 · Machine Learning – Stanford University (Coursera) Often cited by AI experts as the single most important online resource for anyone wanting to learn AI, this course is led by Andrew Ng, who founded... I am skilled in the field of Data Science and Machine Learning. I offer Data Extraction, Data Visualization (Data Studio, Tableau, Pandas, SPSS, Excel), Machine Learning/Deep Learning models, and building an end-to-end data-driven product. I have learned from IBM and Coursera and throughout the session, I have done many real-time projects.
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UCL is the number one London university for Research Strength (REF2014), recognised for its academic excellence and global impact. Programming Assignments for machine learning specialization courses from University of Washington through Coursera. Techniques used: Python, pandas, numpy,scikit-learn, graphlab. In terms of the library and packages, I only used graphlab and SFrame for Machine Learning Foundations. For all the other courses (Regression, Classification and Clustering) I have used pandas for feature enginering and scikit-learn to build out modeling.
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