Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data (Emc Education Services)(Pevná vazba)

Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data (Emc Education Services)(Pevná vazba)

Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry and

Big Data on Campus: Data Analytics and Decision Making in Higher Education (Webber Karen L.)(Pevná vazba)

Data Science and Analytics (Kumari Sneha)(Pevná vazba)

Data Science and Analytics explores the solutions to problems in society, environment and in industry. With the increase in the availability of data, analytics has now become a major element in both the top line and the bottom line of any organization. This book explores perspectives on how big

Analyzing the Analyzers: An Introspective Survey of Data Scientists and Their Work (Harris Harlan)(Paperback)

Despite the excitement around 'data science,' 'big data,' and 'analytics,' the ambiguity of these terms has led to poor communication between data scientists and organizations seeking their help. In this report, authors Harlan Harris, Sean Murphy, and Marck Vaisman examine their survey of several

Cultural Analytics (Manovich Lev)(Pevná vazba)

A book at the intersection of data science and media studies, presenting concepts and methods for computational analysis of cultural data. How can we see a billion images? What analytical methods can we bring to bear on the astonishing scale of digital culture--the billions of photographs shared on

Data Analytics: The Ultimate Guide to Big Data Analytics for Business, Data Mining Techniques, Data Collection, and Business Intellige (Jones Herbert)(Pevná vazba)

If you want to learn about data analytics and data mining then keep reading...2 comprehensive manuscripts in 1 book Data Analytics: An Essential Beginner's Guide To Data Mining, Data Collection, Big Data Analytics For Business, And Business Intelligence Concepts Data Mining: The Data Mining Guide

Management Decision-Making, Big Data and Analytics (Gressel Simone)(Pevná vazba)

Accessible and concise, this exciting new textbook examines data analytics from a managerial and organizational perspective and looks at how they can help managers become more effective decision-makers. The book successfully combines theory with practical application, featuring case studies,

The Data Science Handbook (Cady Field)(Pevná vazba)

A comprehensive overview of data science covering the analytics, programming, and business skills necessary to master the discipline Finding a good data scientist has been likened to hunting for a unicorn: the required combination of technical skills is simply very hard to find in one person. In

From Big Data to Big Profits: Success with Data and Analytics (Walker Russell)(Pevná vazba)

Technological advancements in computing have changed how data is leveraged by businesses to develop, grow, and innovate. In recent years, leading analytical companies have begun to realize the value in their vast holdings of customer data and have found ways to leverage this untapped potential

Big Data and Visual Analytics (Suh Sang C.)(Pevná vazba)

This book provides users with cutting edge methods and technologies in the area of big data and visual analytics, as well as an insight to the big data and data analytics research conducted by world-renowned researchers in this field. The authors present comprehensive educational resources on big

Statistical Learning for Big Dependent Data (Pea Daniel)(Pevná vazba)

This book presents methods useful for analyzing and understanding large data sets that are dynamically dependent. The book will begin with examples of multivariate dependent data and tools for presenting descriptive statistics of such data. It then introduces some useful statistical methods for

Principles and Practice of Big Data: Preparing, Sharing, and Analyzing Complex Information (Berman Jules J.)(Paperback)

Principles and Practice of Big Data: Preparing, Sharing, and Analyzing Complex Information, Second Edition updates and expands on the first edition, bringing a set of techniques and algorithms that are tailored to Big Data projects. The book stresses the point that most data analyses conducted on

Big Data Analytics and Intelligence: A Perspective for Health Care (Tanwar Poonam)(Pevná vazba)

Big data is a field of research that is growing rapidly, and as the Covid-19 crisis has shown, health care is an area that could benefit greatly from its increased use and application. Big data, as derived partly from the internet of things and analysed according to specific algorithms, has a large

Management Decision-Making, Big Data and Analytics (Gressel Simone)(Paperback)

Accessible and concise, this exciting new textbook examines data analytics from a managerial and organizational perspective and looks at how they can help managers become more effective decision-makers. The book successfully combines theory with practical application, featuring case studies,

Challenges and Applications of Data Analytics in Social Perspectives (Sathiyamoorthi V.)(Pevná vazba)

Provides innovative insights into the prevailing challenges in data analytics and its application on social media and focuses on various machine learning and deep learning techniques in improving practice and research. Topics examined include collaborative filtering, data visualization, and edge

Geographical Data Science and Spatial Data Analysis: An Introduction in R (Comber Lex)(Pevná vazba)

We are in an age of big data where all of our everyday interactions and transactions generate data. Much of this data is spatial - it is collected some-where - and identifying analytical insight from trends and patterns in these increasing rich digital footprints presents a number of challenges

Big Data in Practice: How 45 Successful Companies Used Big Data Analytics to Deliver Extraordinary Results (Marr Bernard)(Pevná vazba)

The best-selling author of Big Data is back, this time with a unique and in-depth insight into how specific companies use big data. Big data is on the tip of everyone's tongue. Everyone understands its power and importance, but many fail to grasp the actionable steps and resources required to

Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data (Friendly Michael)(Pevná vazba)

An Applied Treatment of Modern Graphical Methods for Analyzing Categorical Data Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data presents an applied treatment of modern methods for the analysis of categorical data, both discrete response data and

Big Data: Using Smart Big Data, Analytics and Metrics to Make Better Decisions and Improve Performance (Marr Bernard)(Paperback)

Convert the promise of big data into real world results There is so much buzz around big data. We all need to know what it is and how it works - that much is obvious. But is a basic understanding of the theory enough to hold your own in strategy meetings? Probably. But what will set you apart from

Data Mining for Business Analytics: Concepts, Techniques and Applications in Python (Shmueli Galit)(Pevná vazba)

Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python presents an applied approach to data mining concepts and methods, using Python software for illustration Readers will learn how to implement a variety of popular data mining algorithms in Python (a free and

Data-First Marketing: How to Compete and Win in the Age of Analytics (Miller Janet Driscoll)(Pevná vazba)

Supercharge your marketing strategy with data analytics In Data-First Marketing: How to Compete & Win in the Age of Analytics, distinguished authors Miller and Lim demystify the application of data analytics to marketing in any size business. Digital transformation has created a widening gap

Leading with AI and Analytics: Build Your Data Science IQ to Drive Business Value (Anderson Eric)(Pevná vazba)

Lead your organization to become evidence-driven Data. It's the benchmark that informs corporate projections, decision-making, and analysis. But, why do many organizations that see themselves as data-driven fail to thrive? In Leading with AI and Analytics, two renowned experts from the Kellogg

Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques: A Guide to Data Science for Fraud Detection (Baesens Bart)(Pevná vazba)

Detect fraud earlier to mitigate loss and prevent cascading damage Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques is an authoritative guidebook for setting up a comprehensive fraud detection analytics solution. Early detection is a key factor in mitigating fraud

Analyzing Neural Time Series Data: Theory and Practice (Cohen Mike X.)(Pevná vazba)

A comprehensive guide to the conceptual, mathematical, and implementational aspects of analyzing electrical brain signals, including data from MEG, EEG, and LFP recordings.This book offers a comprehensive guide to the theory and practice of analyzing electrical brain signals. It explains the