Batch Big Data Machine Learning
Batch Big Data Machine Learning involves two basic steps, as discussed in Chapter 2, Practical Approach to Real-World Supervised Learning, Chapter 3, Unsupervised Machine Learning Techniques, and Chapter 4, Semi-Supervised and Active Learning: learning or training data from historical datasets and applying the learned models to unseen future data. The following figure demonstrates the two environments along with the component tasks and some technologies/frameworks that accomplish them:
Figure 6: Model time and run time components for Big Data and providers
We will discuss two of the most well-known frameworks for doing ...
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