Book Name: Statistics for Data Science
Author: James D. Miller
Publisher: Packt Publishing
File size: 6.47 MB
File format: PDF
Statistics for Data Science Pdf Book Description:
Information science is the ever-evolving area, which is increasing in popularity at an exponential pace. Data science comprises theories and techniques extracted in the fields of data; computer science, and also, above all, machine learning, databases, information visualization, etc. This publication takes you through the whole journey of data, from understanding very little to getting familiar in using different statistical techniques for data science jobs. It starts off using easy statistics and then proceed to statistical procedures which are employed in science algorithms.
The R apps for statistical computation are clearly explained together with logic. You will learn what is needed to execute statistics in data science jobs such as data mining, cleaning, and investigation. You will learn the statistical methods necessary to do tasks like linear regression, regularization, model evaluation, fostering, SVMs, and working together with neural networks.
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