基于大数据的机器学习

Machine Learning With Big Data

大数据专项课程,课程序列的一部分,6

加州大学圣地亚哥分校

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大数据
  • 分类: 计算机
  • 平台: Coursera
  • 语言: 英语

课程信息

Want to learn the basics of large-scale data processing? Need to make predictive models but don’t know the right tools? This course will introduce you to open source tools you can use for parallel, distributed and scalable machine learning.

After completing this course’s hands-on projects with MapReduce, KNIME and Spark, you will be able to train, evaluate, and validate basic predictive models. By the end of this course, you will be building a Big Data platform and utilizing several different tools and techniques.

Machine Learning With Big Data 是 大数据 专项课程中 4/6 的课程。

In this Specialization, you will develop a robust set of skills that will allow you to process, analyze, and extract meaningful information from large amounts of complex data. You will develop talking knowledge, and practical execution knowledge, for the Hadoop platform, it’s architecture and major elements of the ecosystem. Through hands-on instruction and assignments, you will develop working knowledge of tools, such as Spark, Pig, and Hive, and strategies for processing massive datasets using the map/reduce framework. You will be exposed to these tools and strategies as they might apply in particular to analyzing big data. You will become proficient in carrying out scalable basic analysis and comfortable enough to apply advanced analytics, predictive modeling, or graph analysis to problems in your domain. In the final Capstone Project, developed in partnership with data software company Splunk, you’ll apply the skills you learned by tuning and scaling your own analysis, building your own model, applying tools in new ways, or some other similar kind of effort, to analyze big data in the whatever area of your choice.This class is designed for non-programmers familiar with SQL and desire big-data skill, and for programmers who are new to big data, or new to big data analytics.

授课教师

Paul Rodriguez
Research Programmer
San Diego Supercomputer Center (SDSC)

Natasha Balac
Director, Predictive Analytics Center of Excellence (PACE)
San Diego Supercomputer Center

Andrea Zonca
HPC Applications Specialist
San Diego Supercomputer Center (SDSC)

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