Course Outline
- Distribution big data
- Data mining methods (training single systems + distributed prediction: traditional machine learning algorithms + Mapreduce distributed prediction)
- Apache Spark MLlib
- Recommendations and Advertising:
- Natural language
- Text clustering, text categorization (labeling), synonyms
- User profile restore, labeling system
- Recommended algorithms
- Insuring the accuracy of "lift" between and within categories
- How to create closed loops for recommendation algorithms
- Logical regression, RankingSVM,
- Feature recognition (deep learning and automatic feature recognition for graphics)
- Natural language
- Chinese word segmentation
- Theme model (text clustering)
- Text classification
- Extract keywords
- Semantic analysis, semantic parser, word2vec (vector to word)
- RNN long-term memory (TSTM) architecture
Testimonials
This is one of the best hands-on with exercises programming courses I have ever taken.
Laura Kahn
This is one of the best quality online training I have ever taken in my 13 year career. Keep up the great work!.
This is one of the best quality online training I have ever taken in my 13 year career. Keep up the great work!.
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