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 Systems in Big Data
- Data Mining Methods (Training Single Models + Distributed Prediction: Traditional Machine Learning Algorithms + MapReduce Distributed Prediction)
- Apache Spark MLlib
- Recommendations and Precision Advertising:
- Components of Natural Language
- Text Clustering, Text Classification (Labeling), Synonyms
- User Profile Reconstruction, Label Systems
- Recommendation Algorithm Strategies
- Inter-class lift, intra-class lift, and achieving precision
- Building a closed loop for recommendation algorithms
- Logic Regression, RankingSVM,
- Feature Extraction: (Automatic feature extraction via 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 (LSTM) Architecture
Requirements
There are no specific requirements for joining this course.
Testimonials (1)
This is one of the best hands-on with exercises programming courses I have ever taken.
