Data Science: Questions and Answers
Data Science: Questions and Answers by George A Duckett
English | Mar. 21, 2016 | ISBN: 1530655277 | 262 Pages | AZW3/MOBI/EPUB/PDF (conv) | 14.02 MB
English | Mar. 21, 2016 | ISBN: 1530655277 | 262 Pages | AZW3/MOBI/EPUB/PDF (conv) | 14.02 MB
If you have a question about Data Science this is the book with the answers. Data Science: Questions and Answers takes some of the best questions and answers asked on the datascience.stackexchange.com website. You can use this book to look up commonly asked questions, browse questions on a particular topic, compare answers to common topics, check out the original source and much more. This book has been designed to be very easy to use, with many internal references set up that makes browsing in many different ways possible. Topics covered include: Machine Learning, Bigdata, Data Mining, Classification, Neuralnetwork, Statistics, Python, Clustering, R, Text Mining, NLP, Dataset, Efficiency, Algorithms, Hadoop, SVM, Tools, Recommendation, Visualization, Databases, Feature Selection, NoSQL, K Means, Random Forest, Logistic Regression and many more.