Data science and analysis: general

Every new tractor now contains built-in sensors that collect data and stream it to cloud-based infrastructure.

Make any team or business data driven with this practical guide to overcoming common challenges and creating a data culture.

Data has dramatically changed how our world works.

A tidyverse edition of the acclaimed textbook on data analysis and statistics for the social sciences and allied fieldsQuantitative analysis is an essential skill for social science research, yet students in the social sciences and related areas typically receive little training in it.

As an emerging discipline, data science broadly means different things across different areas.

This is the first comprehensive overview of the exciting field of the ''science of science''.

Is your business looking out?

"e;This book is a splendid and valuable addition to this subject.

More stimulating mathematics puzzles from bestselling author Paul NahinHow do technicians repair broken communications cables at the bottom of the ocean without actually seeing them?

Aus dem Inhalt: Deskriptive Statistik: Statistische Einheiten, Massen und Merkmale.

The importance of data analytics is well known, but how can you get end users to engage with analytics and business intelligence (BI) when adoption of new technology can be frustratingly slow or may not happen at all?

Analyzes scale effects across a range of political dimensions, encompassing different political levels using a multi-method approach.

The emergence of Chat GPT in late 2022 launched the world into a new era of highly capable artificial intelligence, the most fascinating new technology since the birth of the Internet.

This compact, entry-level Handbook equips applied practitioners to choose and use core models for real-world data - with R and SAS.

Dive into the intricacies of Sindh's financial landscape with "e;Growing Sindh Wealth: 2024-year report.

Humberto Barreto shows professors how to teach macroeconomic models and incorporate data using Microsoft Excel® with free files and videos.

Recent data shows that 87% of Artificial Intelligence/Big Data projects don't make it into production (VB Staff, 2019), meaning that most projects are never deployed.

'Terrifying yet funny, surprising yet predictable, simple yet poignant' Chris PackhamA shocking but informative, eye-catching and witty book of maps that illustrate the perilous state of our planet.

*THE SUNDAY TIMES NUMBER ONE BESTSELLER**OVER A MILLION COPIES SOLD*Discover the shocking gender bias that affects our everyday lives in this groundbreaking gift of a book.

Learn how to easily transform your data into engaging, interactive visual reports!

'We need to talk more about complications and THE UNEXPECTED gives us a place to start' - THE TIMES'Firebrand Oster demystifies common pregnancy complications and examines the uncomfortable parts that no one wants to talk about' GUARDIANNavigate the unexpected in pregnancy with the New York Times bestselling author of CRIBSHEET and EXPECTING BETTERHalf of us might experience complications during pregnancy.

This practical textbook offers a hands-on introduction to big data analytics, helping you to develop the skills required to hit the ground running as a data professional.

'A necessary book for our times.

In this fascinating follow-up to the bestselling Information is Beautiful and Knowledge is Beautiful, the king of infographics David McCandless uses spectacular visuals to give us all a bit of good news.

Weighted finite-state transducers (WFSTs) are commonly used by engineers and computational linguists for processing and generating speech and text.

The approximation and the estimation of nonparametric functions by projections on an orthonormal basis of functions are useful in data analysis.

Explains the value of no-boundary thinking (NBT) in biological and biomedical research in helping to define impactful research questions.

This book effectively exposes and illustrates the ideas and tools for optimal healthcare decisions taken from evidence.

A comprehensive guide to data analysis techniques for the physical sciences including probability, statistics, data reconstruction, data correction and Monte Carlo methods.

Organize, plan, and build an exceptional data analytics team within your organization In Minding the Machines: Building and Leading Data Science and Analytics Teams, AI and analytics strategy expert Jeremy Adamson delivers an accessible and insightful roadmap to structuring and leading a successful analytics team.

Connects fundamental mathematical theory with real-world problems, through efficient and scalable optimization algorithms.

Businesses who can make sense of the huge influx and complexity of data will be the big winners in the information economy.

The first systematic guide to the tools researchers employ to explore and answer broad macro-historical questions in the social sciences.

Correlation matrices (along with their unstandardized counterparts, covariance matrices) underlie the majority the statistical methods that researchers use today.

The world is currently in the midst of a data revolution.

Four leading experts convey the promise of data science and examine challenges in achieving its benefits and mitigating some harms.

It's estimated that 80 percent of an organization's data contains location attributes, but many don't understand how to unlock the potential of this data for their organizations to make better decisions.

We are in an age of big data where all of our everyday interactions and transactions generate data.

Computational analysis of natural science experiments often confronts noisy data due to natural variability in environment or measurement.

Data literacy is one of the key skills that companies are looking for but it's a specialist skill - currently.