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.
Duration 21 hours
Course Outline
- Distributed Computing in Big Data
- Data mining methods (Training single-machine models + Distributed prediction: Traditional machine learning algorithms + MapReduce distributed prediction)
- Apache Spark MLlib
- Recommendations and Targeted Advertising:
- Natural Language Processing components
- Text clustering, text classification (labeling), and synonym handling
- User profile reconstruction and labeling systems
- Strategies for recommendation algorithms
- Intra-class and inter-class lift; achieving precision
- Building a closed-loop feedback system for recommendation algorithms
- Logistic Regression, RankingSVM
- Feature Recognition: (Automatic feature extraction via Deep Learning and Graphs)
- Natural Language Processing
- Chinese word segmentation
- Topic modeling (text clustering)
- Text classification
- Keyword extraction
- Semantic analysis: Semantic parsers and Word2Vec word embeddings
- RNN Long Short-Term Memory (LSTM) Architecture
Requirements
There are no specific prerequisites for this course.
Testimonials (1)
This is one of the best hands-on with exercises programming courses I have ever taken.
