Sentence examples for used in data science from inspiring English sources

This course covers the following topics: Fundamentals of probability theory and statistical inference used in data science; Probabilistic models, random variables, useful distributions, expectations, law of large numbers, central limit theorem; Statistical inference; point and confidence interval estimation, hypothesis tests, linear regression.

Acoustic data, or recorded human speech, is often used in data science for direct applications such as automatic speech recognition.

In anticipation of increased use of data science in promoting sustainability, this course introduces the common methods used in data science, best practices in data management, and the basic scripting skills required to start analyzing data in R and Python.

The Biostatistics and Date Science track provides top-class training in biostatistics, as well as the analytic techniques used in data science to prepare students for the data-driven challenges of today's world.

With courses starting in the fall of 2018, this new MicroMasters program will blend theory and practice, providing learners with the foundational knowledge in the methods and tools used in data science, as well as offering hands-on training in data analysis and machine learning.

DBSCAN [40] is a clustering algorithm widely used in data science that aims to group closely related points, and to label those points with few neighbors as noise.

This book provides a general overview of the terms and approaches used broadly in data science, and provides detailed information on the underlying theories, models, and application scenarios.

It's fast, it supports a number of popular development languages (Java, Scala, Python, R), and it includes easy access to a growing set of commonly used algorithms in data science.

Gain advanced training and the leadership edge using a degree in data science to draw insights and solve problems.

Accompani is the brainchild of former Google Analytics execs Amy Chang and Matthias Ruhl, who are using their background in data science and scaling computational systems to tackle the relationship management problem for busy professionals.

This open access book covers aspects of unsupervised machine learning used for knowledge discovery in data science and introduces a data-driven approach to cluster analysis, the Databionic swarm (DBS).