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 Duration 21 hours

Course Outline

  1. Distribution in Big Data
    1. Data mining techniques (Training single-model + Distributed prediction: Traditional machine learning algorithms + MapReduce distributed prediction)
    2. Apache Spark MLlib
  2. Recommendations and Precision Advertising:
    1. Components of Natural Language
    2. Text clustering, text classification (labelling), synonyms
    3. User profile reconstruction, tagging system
    4. Strategies for recommendation algorithms
    5. Lift between classes, lift within classes, and how to achieve precision
    6. How to build a closed-loop for recommendation algorithms
  3. Logistic Regression, RankingSVM,
  4. Feature Identification: (Automated feature identification in deep learning and geometry)
  5. Natural Language
    1. Chinese word segmentation
    2. Topic models (Text clustering)
    3. Text classification
    4. Keyword extraction
    5. Semantic analysis, semantic parser, from word2vec to word vectors
    6. RNN Long Short-Term Memory (LSTM) Architecture

Requirements

There are no specific requirements for enrolling in this course.

Custom Corporate Training

Training solutions designed exclusively for businesses.

  • Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
  • Flexible Schedule: Dates and times adapted to your team's agenda.
  • Format: Online (live), In-company (at your offices), or Hybrid.
Investment

Price per private group, online live training, starting from 4800 € + VAT*

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