Big Data Analytics and Data Sciences Services & Courses (New Services: Twitter Analytics)

Data Sciences, Machine Learning & Big Data Analytics: The following software and environments have been used for the following projects/studies, services, and short course. (Project Detailes/Studies Avialable upon Request)

Matlab/Scilab/Ocatve, Python/IPython (Python packages such as but not limited to Scipy, Numpy, Sympy, ScikitLearn, Matplotlib, Pyplot, Pandas, NetworkX, NLTK, Scrapy, etc.), R (and its associated ML software such as Weka and Microsoft Azure ML), D3, Gnuplot, Julia/JuliaBox, Java (and its associated ML software such as ML, Weka and Mahout, etc.), and Machine Learning Software, including, Statistica, Mathematica, Weka, Mahout and Machine Learning and Analytics in the Cloud such as Microsoft Azure-ML/R (Revolution Analytics), IBM Watson Analytics, Amazon-EMR-EC2-AWS (R, Python and Python-MapReduce-Hadoop-EMR

for Text Analytics), Google Analytics (BigQuery).

o Social Media-Customer Satisfaction and Retention (Recent Project)

o Twitter Analytics (Recent Project and Services)

o Analytics for Predicting Social Behavior and CRM (Recent Project)

o The Emergence of Machine Learning, Recommender Systems, Sentiment Analysis and Classification, Social Media, and Wisdom of Crowd (Recent Project)

o BioMedical and Gene-Expression (Recent Project)

o Data Analytics for Banking- Campaigns and Risk Analytics (Recent Project)

o Airline on-time performance and Delay Prediction (Recent Project)

o Data Analytics for Politics- Party Affiliation based on Voting Record (Recent Project)

o Energy Price Forecast (Recent Project)

o Data Analytics for Predicting Spam (Recent Project)

o Intelligent Reservoir Characterization (IRESC) (Recent Project)

o Artificial Intelligence, Machine Learning, and Soft Computing (Short Course)

o Machine Learning and R, Python and Software Tools (Short Course)

o Big Data - Cloud Computing- Amazon, IBM, Microsoft, Google cloud... (Short Course)

o Big Data - Machine Learning- R, Python, Mahout, and Weka/MOA (Course)

o Big Data- Microsoft Azure Machine Learning (R-Revolution Analytics) , IBM Watson Analytics, Amazon EMR (EC2-AWS- R and iPython), Google Analytics (BigQuery) (Services)

o BIG Data- Hadoop/MapReduce/HDFS/Hbase (Short Course)

o BIG Data - Hive, PIG, Jaql, SQL and Big SQL (Short Course)

o Computational Sciences and Engineering (Short Course)

o Science and Innovation (Short Course)