Меню:
- An Introduction to Artificial Intelligence (Stanford). Score: 89%
- Machine Learning (Stanford). Score: 100%
- Natural Language Processing (Stanford/Coursera). Score: 93%
- Heterogeneous Parallel Programming (University of Illinois at Urbana-Champaign/Coursera). Score: 100% with distinction
- Computing for Data Analysis (Johns Hopkins Bloomberg School of Public Health/Coursera). Score: 100% with distinction
- Introduction to Data Science (University of Washington/Coursera). Score: 90.1% with distinction
- Model Thinking (University of Michigan/Coursera). Score: 95% with distinction
- Data Mining with Weka (University of Waikato). Score: 100%
- Functional Programming Principles in Scala (École Polytechnique Fédérale de Lausanne/Coursera): Score: 100% with distinction
- Pattern Discovery in Data Mining (University of Illinois at Urbana-Champaign/Coursera). Score: 90.6%
- Cluster Analysis in Data Mining (University of Illinois at Urbana-Champaign/Coursera)
- Mining of Massive Datasets (Stanford/Coursera)
- CS100.1x Introduction to Big Data with Apache Spark (Berkley/edX). Score: 100%
- CS190.1x Scalable Machine Learning (Berkley/edX). Score: 100%
- UT.5.02x LAFF: Linear Algebra - Foundations to Frontiers (University of Texas/edX)
- Introduction to Natural Language Processing (University of Michigan). Score: 95.2%
Last change: 01.10.2017 12:19
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