New Data Science Course on Building Recommender Systems – 10% Discount to CTOvision Readers

Cloudera University is offering a new training course on data science titled Introduction to Data Science – Building Recommender Systems.  The course is coming to the Washington DC area 20-22 Feb 2012.

If history is our guide, this course will be booked fast. My recommendation: look over the course outline below and register right away.  CTOvision readers can attend the course with a 10% discount, so be sure to use the code we provide below to book at the reduced price.

The code is: ClouderaFE_10

Here is more on the course plus the registration link:

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

To register: http://university.cloudera.com/training/data_science/introduction_to_data_science_-_building_recommender_systems.html

 

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We produce special technology reviews continuously updated for CTOvision Pro members. Categories we cover include:

  • Analytical Tools - With a special focus on technologies that can make dramatic positive improvements for enterprise analysts.
  • Big Data - We cover the technologies that help organizations deal with massive quantities of data.
  • Cloud Computing - We curate information on the technologies enabling enterprise use of the cloud.
  • Communications - Advances in communications are revolutionizing how data gets moved.
  • GreenIT - A great and virtuous reason to modernize!
  • Infrastructure  - Modernizing Infrastructure can have dramatic benefits on functionality while reducing operating costs.
  • Mobile - This revolution is empowering the workforce in ways few of us ever dreamed of.
  • Security  -  There are real needs for enhancements to security systems.
  • Visualization  - Connecting computers with humans.
  • Hot Technologies - Firms we believe warrant special attention.

 

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About Bob Gourley

Bob Gourley is the publisher of CTOvision.com and DelphiBrief.com and the new analysis focused Analyst One Bob's background is as an all source intelligence analyst and an enterprise CTO. Find him on Twitter at @BobGourley