By Antonio Gulli
BigData and computer studying in Python and Spark
Read or Download A collection of Data Science Interview Questions Solved in Python and Spark: Hands-on Big Data and Machine Learning PDF
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Extra resources for A collection of Data Science Interview Questions Solved in Python and Spark: Hands-on Big Data and Machine Learning
Table of Contents 1. What are the most important machine learning techniques? Solution 2. Why is it important to have a robust set of metrics for machine learning? Solution Code 3. Why are Features extraction and engineering so important in machine learning? Solution 4. Can you provide an example of features extraction? Solution Code 5. What is a training set, a validation set, a test set and a gold set in supervised and unsupervised learning? Solution 6. What is a Bias - Variance tradeoff? Solution 7.
Variance is the error representing sensitiveness to small training data fluctuations. In machine learning this phenomenon is called overfitting. A good learning algorithm should capture patterns in the training data (low bias), but it should also generalize well with unseen application data (low variance). In general, a complex model can show low bias because it captures many relations in the training data and, at the same time, it can show high variance because it will not necessarily generalize well.
In the following example we suppose thatvaluesAndPreds is an RDD of many ( tuples. Those are mapped into values . All intermediate results computed by parallel workers are then reduced by applying a sum operator. The final result is then divided by the total number of tuples as defined by the mathematical definition. Note that Spark hides all the low level details to the programmer by allowing to write a distributed code which is very close to a mathematical formulation. The code adopts python lambda computation for compact representations of anonymous functions.
A collection of Data Science Interview Questions Solved in Python and Spark: Hands-on Big Data and Machine Learning by Antonio Gulli