BigDataFr recommends : MATLAB for Big Data, Machine Learning and Production Analytics Systems
Big data is a popular buzz word today and a challenge you are likely to encounter. How do you make sense of the information contained in the data? And more importantly, how do you run analyses or analytics on:
- Data too large to fit in memory (volume)
- Real-time streaming data (velocity)
- Data from diverse sources (variety)
Whether you are new to MATLAB or a long-time user, there are many options available for running analytics, such as machine learning on large datasets. From standard logistic regression to neural networks and random forest, you can interactively explore different models and choose which one fits your data and objectives. So, which approach will you use on your big data challenge?
| Tackling Tackle Data Volume: Watch a technical presentation illustrating how you can run analyses on big data sets from within MATLAB and Hadoop. | Wrangle Data Variety: Discover how easy it is to import and organize data from the web, databases, files, and many other financial data sources. | Increase Data Velocity: Learn how you can embed MATLAB inside databases or connect to messaging buses for real-time analytics. | Learn from Others About Big Data: Hear from industry experts on how they build real-time applications in MATLAB. |
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| Tackling Big Data with MATLAB | Access and Organize Data with MATLAB | Integrating MATLAB Based Financial Analytics into Databases, Web, and Messaging Systems | A Real-Time Trading System in MATLAB |
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