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Machine learning courses in London 2014
-
Course Overview!
!
Title: Machine Learning with Apache Mahout: Introduction to scalable ML for
Developers.
!
Duration: 1 Day Dates: 11th July and 17th October 2014 Location: London
!
Target Audience: Software Engineers, Data Scientists, or Technologists with a
background in Java programming or a similar modern programming language.
!
Course Objectives:
At the completion of the course, student will be enabled to perform the following:
This transformational class will unlock your understanding of:
!
• Classes and categories of machine learning systems
• Capabilities and limitations of end solutions, in business terms
• Capabilities and limitations of technology, in solution capability terms
• Use case identification and structure
• How to structure and plan a machine learning project for your business
Course Objectives!
!
!
Concepts:!
• Machine learning system classifications
• Capabilities and limitations
!
Use Cases:
• Top level use case categorisations
• Identifying and categorising your own use case
• Deep-dive use case example
!
Technology:
• Technology landscape
• Capabilities and limitations
• Selecting the right tools for the job
• Implementation choices
• Optimisation
• Performance and scalability
• Integration
Is this course for you?!
!
!
Prerequisites!
!
Mandatory:
!
• Programming skills in Java (or similar modern programming language)
• Basic understanding of Hadoop architecture
• Basic understanding of Hadoop MapReduce for data processing at scale
!
Useful, but not required:
!
• Apache Pig programming
• Prior experience with Apache Solr search engine
• Matrix algebra
!
!
Interested? Read more, Contact Us or Book!

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Machine learning courses in London 2014

  • 2. - Course Overview! ! Title: Machine Learning with Apache Mahout: Introduction to scalable ML for Developers. ! Duration: 1 Day Dates: 11th July and 17th October 2014 Location: London ! Target Audience: Software Engineers, Data Scientists, or Technologists with a background in Java programming or a similar modern programming language. ! Course Objectives: At the completion of the course, student will be enabled to perform the following: This transformational class will unlock your understanding of: ! • Classes and categories of machine learning systems • Capabilities and limitations of end solutions, in business terms • Capabilities and limitations of technology, in solution capability terms • Use case identification and structure • How to structure and plan a machine learning project for your business
  • 3. Course Objectives! ! ! Concepts:! • Machine learning system classifications • Capabilities and limitations ! Use Cases: • Top level use case categorisations • Identifying and categorising your own use case • Deep-dive use case example ! Technology: • Technology landscape • Capabilities and limitations • Selecting the right tools for the job • Implementation choices • Optimisation • Performance and scalability • Integration
  • 4. Is this course for you?! ! ! Prerequisites! ! Mandatory: ! • Programming skills in Java (or similar modern programming language) • Basic understanding of Hadoop architecture • Basic understanding of Hadoop MapReduce for data processing at scale ! Useful, but not required: ! • Apache Pig programming • Prior experience with Apache Solr search engine • Matrix algebra ! ! Interested? Read more, Contact Us or Book!