A collection of Data Science Interview Questions Solved in by Antonio Gulli

By Antonio Gulli

BigData and computer studying in Python and Spark

Show description

Read Online or Download A collection of Data Science Interview Questions Solved in Python and Spark: Hands-on Big Data and Machine Learning PDF

Best introductory & beginning books

Beginning Perl

Perl is an immensely renowned scripting language that mixes the simplest good points of C, key UNIX utilities and a strong use of normal expressions. It has quite a lot of makes use of past easy textual content processing and is often used for internet programming - developing and parsing CGI kinds, validating HTML syntax and links - in addition to electronic mail and Usenet information filtering.

PM 102 According to the Olde Curmudgeon: An Introduction to the Basic Concepts of Modern Project Management

During this eagerly awaited follow-up to PM a hundred and one, Francis M. Webster Jr. , a. ok. a. the Olde Curmudgeon, bargains a desirable and extremely readable consultant to getting your venture correct the 1st time. between different matters, he discusses 4 features of caliber in tasks, the intricacies of possibility administration, and sixteen how you can decrease venture period.

PROLOG programming

PROLOG represents a brand new method of laptop programming, being a high-level language which takes a lot of the drudgery out of programming by way of lowering the effort and time required to resolve difficulties. this article introduces the reader to PROLOG and explains find out how to learn and write courses

Learning iOS Development: A Hands-on Guide to the Fundamentals of iOS Programming

Studying iOS Developmentis the proper first e-book for each new iOS 7 developer. It gives you a whole starting place for iOS improvement, together with an advent to the Objective-C language, Xcode improvement instruments, best-practice person interface improvement, and most sensible practices for all features of app improvement and deployment.

Additional info for A collection of Data Science Interview Questions Solved in Python and Spark: Hands-on Big Data and Machine Learning

Sample text

From one hand this representation has an inherent error which can be reduced by carefully selecting a right set of representatives. From the other hand we might not want to create a too complex representation because it might be computationally expensive for the machine to learn a sophisticate model, indeed such model could possibly not generalize well to the unseen data. Real world data is noisy. We might have very few instances (outliers) which show a sensible difference from the majority of the remaining data, while the selected algorithm should be resilient enough to outliers.

Can you provide an example for Map and Reduce in Spark? (Let’s compute the Mean Square Error) Solution Code 11. Can you provide examples for other computations in Spark? Solution Code 12. How does Python interact with Spark Solution 13. What is Spark support for Machine Learning? Solution 14. How does Spark work in a parallel environment Solution Code 15. What is the mean, the variance, and the covariance? Solution Code 16. What are percentiles and quartiles? Solution Code 17. Can you transform an XML file into Python Pandas?

19] The following is an abstract from Spark API 40. What is a Linear Least Square Regression? Solution Linear models are simple and provide data partition based on straight lines. In general, they require a reasonably small amount of training data. More complex models, such as SVM with kernels and ensembles (which will be introduced in the next volume), allow data separation with more sophisticate curves - not only with straight lines - but they are in general more expensive to train, require more data, and are also more expensive when they predict results on unseen data.

Download PDF sample

Rated 4.95 of 5 – based on 36 votes