課程大綱： Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP培訓
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
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