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eBay private Introduction to Data Science - Building Recommender Systems - Whitman Campus (MoneyClip) Dec 17-19, 2012

Cloudera

Monday, December 17, 2012 at 8:30 AM - Wednesday, December 19, 2012 at 4:30 PM (PST)

eBay private Introduction to Data Science - Building...

Ticket Information

Ticket Type Sales End Price Fee Quantity
Cloudera Data Science Training Ended $1,710.00 $0.00

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Event Details

Introduction to Data Science - Building Recommender Systems

Course Summary


This hands-on course is suitable for software engineers, data analysts and statisticians. It is problem-driven and focuses on helping participants understand what a data scientist does, the problems they typically solve and their approach to doing so. By taking a practical approach to the subject, including multiple hands-on exercises, participants will leave the course with skills they can immediately apply to real-world problems.

Download the full agenda for Cloudera's Introduction to Data Science.

Read the blog post: Training a New Generation of Data Scientists.

Duration

3 days.

You Will Learn

  • Describe the role and responsibilities of a data scientist
  • Explain several ways in which data scientists create value for organizations across many industries
  • Locate and acquire data from diverse sources
  • Use transformation and normalization techniques to produce accurate, useful data sets
  • Determine the most appropriate type of analysis to perform for a given problem
  • Be able to implement an automated recommendation system
  • Develop, evaluate and refine scoring systems for recommenders
  • Understand the considerations involved in working at scale
  • Identify meaningful, actionable and business-oriented results from the analysis

Prerequisites

This course is suitable for software engineers, data analysts and statisticians. A basic knowledge of Hadoop is assumed: use of the HDFS file system, awareness of the MapReduce framework, Hadoop Streaming and Hive. Students should have proficiency in a scripting language; Python is strongly preferred, although students familiar with another language such as Perl or Ruby should be able to complete the exercises.

Outline

  • Introduction
  • Data Science Overview
  • Use Cases
  • Project Lifecycle
  • Data Acquisition
  • Evaluating Input Data
  • Data Transformation
  • Data Analysis and Statistical Methods
  • Fundamentals of Machine Learning
  • Recommender Overview
  • Introduction to Apache Mahout
  • Implementing Recommenders with Apache Mahout
  • Experimentation and Evaluation
  • Production Deployment and Beyond
  • Conclusion
  • Appendix A : Hadoop Overview
  • Appendix B: Mathematical Formulas
  • Appendix C : Language and Tool Reference
Have questions about eBay private Introduction to Data Science - Building Recommender Systems - Whitman Campus (MoneyClip) Dec 17-19, 2012? Contact Cloudera

When & Where


eBay - Whitman Campus (Money Clip)
2065 Hamilton Ave
San Jose, CA 95125

Monday, December 17, 2012 at 8:30 AM - Wednesday, December 19, 2012 at 4:30 PM (PST)


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Organizer

Cloudera

Cloudera brings Hadoop to enterprise users. We provide a certified distribution based on the most recent stable release from Apache, online and live training, as well as commercial support.


 

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