Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP Training Course

This course is designed for developers and data scientists who wish to understand and implement Artificial Intelligence in their applications. It focuses particularly on Data Analysis, Distributed Artificial Intelligence, and Natural Language Processing (NLP).

This course is available as onsite live training in Nigeria or online live training.

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Course Outline

Distributed Computing in the Age of Big Data
1. Data Mining Methods (training single models + distributed prediction: traditional machine learning algorithms + Mapreduce distributed prediction,)
2. Apache Spark MLlib
Recommendation and Precision Advertising:
1. Partial Natural Language
2. Text Clustering, Text Classification (Labels), Synonyms
3. User Profile Reconstruction, Tagging System
4. Recommendation Algorithm Strategies
5. Lift between Classes, Lift within Classes, How to Achieve Precision
6. How to Build the Closed Loop of Recommendation Algorithms
Logistic Regression, RankingSVM,
Feature Recognition: (Automatic Feature Recognition with Deep Learning and Graphs)
Natural Language
1. Chinese Word Segmentation
2. Topic Models (Text Clustering)
3. Text Classification
4. Keyword Extraction
5. Semantic Analysis (Semantic Parser, Word2Vec to Word Vectors)
6. RNN Long Short-Term Memory (LSTM) Architecture