Want to maximize the value of your data assets? Want to be a data-driven organization?
My Big Data Science Analytics Assessment is the way to break through.
Statistics & Modeling
- Bayesian Data Analysis
- Discrete Choice Models
- Exploratory Data Analysis
- Linear Regression
- Monte Carlo Methods
- Panel Data / Longitudinal Data
- Statistical Estimation Adaptive Filtering
- Survival Analysis
- Time series Analysis
- Advanced Regression
Supervised Techniques
- Decision Trees
- Ensemble Methods, Random Forests
- Logistic Regression
- Neural Networks
- SVM
- IBM Big Insights
Decision Science
- Decision Theory
- Linear Programming / Mixed Integer Programming
- Stochastic Processes and Queuing Theory
Unsupervised Learning & Clustering
- K-Means
- LDA
Natural Language Processing (NLP)
- Machine Translation
- Named Entity Recognition (NER)
- Part of Speech Tagging
- Sentence Parsing and Chunking
- Sentiment Analysis and Text classification
- Topic Modeling and Keyphrase Extraction
- Word Sense Disambiguation
Information Extraction & Retrieval
- Document Clustering
- Fuzzy Matching and Term Weighting
- Link Analysis
- Web Crawling
- Web Scraping
Data Mining and Machine Learning
- Dimension Reduction
- Feature Selection
- Large Scale Machine Learning and Algorithms
- Social Network Analysis and Mining
- Ensemble Methods and Random Forests
- Supervised Techniques: SVM
- Supervised Techniques: Neural Networks
- Supervised Techniques: Decision Trees
- Supervised Techniques: Logistic Regression
- Unsupervised learning and Clustering: (K-Means, LDA)
Artificial Intelligence
- Deep Learning
- Cognitive computing(IBM Watson)