Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
- Distributed Under Big Data
- Data mining methods (training single models + distributed prediction: traditional machine learning algorithms + MapReduce distributed prediction)
- Apache Spark MLlib
- Recommendations and Precision Advertising:
- Part of Natural Language
- Text clustering, text classification (tags), synonyms
- User profile restoration, tag system
- Strategies for recommendation algorithms
- Lift between classes, lift within classes, how to achieve precision
- How to build a closed loop for recommendation algorithms
- Logistic Regression, RankingSVM
- Feature Recognition (Automatic Feature Recognition for Deep Learning and Graphs)
- Natural Language
- Chinese Word Segmentation
- Topic Models (Text Clustering)
- Text Classification
- Keyword Extraction
- Semantic Analysis: semantic parser, word2vec to word vectors
- RNN Long short-term memory (TSTM) Architecture
Requirements
There are no specific requirements to participate in this course.
21 Hours
Testimonials (1)
This is one of the best hands-on with exercises programming courses I have ever taken.
