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Data Science for Mathematicians

Mathematicians have skills that, if deepened in the right ways, would enable them to use data to answer questions important to them and;

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Topological Data Analysis with Applications

account introduces topological data analysis (TDA), a method for modeling data by geometric objects, namely graphs and their higher-dimensional;

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Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough

. Further, it is useful for practitioners dealing with advanced data processing, applied mathematicians, developers of software for agent-oriented;

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Amongst Mathematicians

practice. Elena Nardi achieves this by employing two fictional, yet entirely data-grounded, characters to create a conversation on these important;

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Data Analysis and Applications 3

areas. The material is divided into two parts: Computational Data Analysis, and Classification Data Analysis, with methods for both - providing;

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Data Analysis and Applications 4

Data analysis as an area of importance has grown exponentially, especially during the past couple of decades. This can be attributed to a;

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Extreme Value And Related Models With Applications In Engineering And Science

A straightforward, practical guide to extreme value modeling for todaya s world Measuring and interpreting data for extreme values presents;

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Mathematics and Archaeology

Although many archaeologists have a good understanding of the basics in computer science, statistics, geostatistics, modeling, and data;

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Machine Learning in Bioinformatics

increasingly being used to address problems in computational biology and bioinformatics. Novel computational techniques to analyze high throughput data;

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Big Data of Complex Networks

bootstrapping in an interdisciplinary manner to produce novel techniques for analyzing massive amounts of data, this book also explores the;

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Big Data of Complex Networks

bootstrapping in an interdisciplinary manner to produce novel techniques for analyzing massive amounts of data, this book also explores the;

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Data Science For Dummies 3e

What if there was one simple, clear process for ensuring that all your company's data science projects achieve a high a return on investment;

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Time Series Clustering and Classification

The beginning of the age of artificial intelligence and machine learning has created new challenges and opportunities for data analysts;

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Time Series Clustering and Classification

The beginning of the age of artificial intelligence and machine learning has created new challenges and opportunities for data analysts;

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Data Science Strategy For Dummies

big data. How are they doing it? Data Science Strategy For Dummies answers all your questions about how to build a data science capability;

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Approximate and Renormgroup Symmetries

is designed for specialists in nonlinear physics - mathematicians and non-mathematicians - interested in methods of applied group analysis for;

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Data Science

media and recommendation systems; infrastructure for data science; basic theory and techniques for data science; machine learning for data;

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Data Science for Undergraduates

students begin today to consider how to best prepare for and keep pace with this data-driven era of tomorrow. Undergraduate teaching, in particular;

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Managing Data Science

Understand data science concepts and methodologies to manage and deliver top-notch solutions for your organization Key Features Learn the;

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Experiencing Mathematics

of John Dewey is a better fit for mathematical practice than the dominant analytic philosophy''. Dialogue, satire, and fantasy enliven the;

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Secure Data Science: Integrating Cyber Security and Data Science

intrusion detection, malware analysis, and insider threat detection. However, the data science techniques being applied not only for cyber security;

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Stochastic Modeling of Scientific Data

Stochastic Modeling of Scientific Data combines stochastic modeling and statistical inference in a variety of standard and less common;

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Stochastic Modeling of Scientific Data

Stochastic Modeling of Scientific Data combines stochastic modeling and statistical inference in a variety of standard and less common;

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Mathematicians Fleeing from Nazi Germany

The emigration of mathematicians from Europe during the Nazi era signaled an irrevocable and important historical shift for the;

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Advances in Cybernetics Cognition and Machine Learning for Communication Techn

Technologies, and presents high-quality research conducted by experts in this area. It provides a valuable reference guide for students, researchers;

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Roundtable on Data Science Postsecondary Education: A Compilation of Meeting Highlights

in the Workplace 5 Meeting #4: Alternative Mechanisms for Data Science Education 6 Meeting #5: Integrating Ethical and Privacy Concerns into;

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Data Science

, Machine Learning, and Big Data - That You Don't Data Science for Business: Predictive Modeling, Data Mining, Data Analytics, Data Warehousing;

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