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-node Models + Distributed Predictions: Traditional Machine Learning Algorithms + MapReduce Distributed Predictions)
- Apache Spark MLlib
- Recommendations and Precision Advertising:
- Components of Natural Language
- Text Clustering, Text Classification (Labeling), Synonyms
- User Profile Reconstruction, Tagging Systems
- Strategies for Recommendation Algorithms
- Inter-class lift, Intra-class lift, How to Achieve Precision
- How to Build a Closed Loop for Recommendation Algorithms
- Logistic Regression, Ranking SVM,
- Feature Identification: (Deep Learning and Automatic Feature Identification for 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 taking this course.
Testimonials (1)
This is one of the best hands-on with exercises programming courses I have ever taken.
