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Sunday, June 09, 2019

Suggested Books of the Week 23, 2019 | Books - Helge Scherlund's eLearning News

Check out these books below by Cambridge University Press.

Artificial Intelligence and Social Work

Artificial Intelligence and Social Work
This book marries social work and artificial intelligence to provide an introductory guide for using AI for social good. Following an introductory chapter laying out approaches and ethical principles of using AI for social work interventions, the book describes in detail an intervention to increase the spread of HIV information by using algorithms to determine the key individuals in a social network of homeless youth...

For students, academic researchers, industry leaders, and practitioners, these real-life examples from the USC Center for Artificial Intelligence in Society demonstrate how social work and artificial intelligence can be used in tandem for the greater good.
  • Demonstrates the potential for artificial intelligence to be used for social good
  • Provides several real-life examples that represent a broad range of topics and populations
  • Includes a discussion on the ethical principles of using artificial intelligence for social work interventions

Artificial Intelligence and Conservation 

Artificial Intelligence and Conservation
With the increasing public interest in artificial intelligence (AI), there is also increasing interest in learning about the benefits that AI can deliver to society. This book focuses on research advances in AI that benefit the conservation of wildlife, forests, coral reefs, rivers, and other natural resources...

The book also features efforts in other major conservation directions, including protecting natural resources, ecosystem monitoring, and bio-invasion management through the use of game theory, machine learning, and optimization.
  • An accessible, coherent overview of artificial intelligence (AI) methods for conservation
  • Provides details of field tests and real-world deployments in conservation sites
  • Illustrates how artificial intelligence (AI) can benefit numerous areas of conservation, including an in-depth look at its use to combat wildlife poaching

High-Dimensional Statistics - A Non-Asymptotic Viewpoint 

High-Dimensional Statistics
A Non-Asymptotic Viewpoint

Recent years have witnessed an explosion in the volume and variety of data collected in all scientific disciplines and industrial settings. Such massive data sets present a number of challenges to researchers in statistics and machine learning...

With hundreds of worked examples and exercises, this text is intended both for courses and for self-study by graduate students and researchers in statistics, machine learning, and related fields who must understand, apply, and adapt modern statistical methods suited to large-scale data.
  • Almost 200 worked examples support the reader in building practical intuition and understanding the motivation for the theory
  • Contains over 250 exercises - ranging in difficulty from easy to challenging - which strengthen learning, with solutions available to instructors
  • The book is organized for teaching and learning, allowing instructors to choose one of several identified paths depending on course length

Computer Age Statistical Inference - Algorithms, Evidence, and Data Science 

Computer Age Statistical Inference
Algorithms, Evidence, and Data Science
The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce...

The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.
  • Clarifies both traditional methods and current, popular algorithms (e.g. neural nets, random forests)
  • Written by two world-leading researchers
  • Addressed to all fields that work with data

The Student's Introduction to Mathematica and the Wolfram Language 

The Student's Introduction to 
Mathematica and the Wolfram Language
The unique feature of this compact student's introduction to Mathematica® and the Wolfram Language™ is that the order of the material closely follows a standard mathematics curriculum. As a result, it provides a brief introduction to those aspects of the Mathematica® software program most useful to students...

This third edition also includes many new exercises and a chapter on 3D printing that showcases the new computational geometry capabilities that will equip readers to print in 3D.
  • Updated chapters cover the newest developments in the software, including natural language queries and the vast stores of real-world data now integrated through the cloud
  • Clearly presents software commands and procedures alongside mathematical ideas to demonstrate how Mathematica® can illuminate high school and university mathematics
  • The book does not assume that the reader is an expert in the underlying mathematics
Read more... 

An Invitation to Model Theor

An Invitation to Model Theory
Model theory begins with an audacious idea: to consider statements about mathematical structures as mathematical objects of study in their own right. While inherently important as a tool of mathematical logic, it also enjoys connections to and applications in diverse branches of mathematics, including algebra, number theory and analysis...

With numerous exercises of varying difficulty, this is an accessible introduction to model theory and its place in mathematics.
  • Suitable for use as an undergraduate- or Masters-level course in model theory, unlike traditional graduate-level texts
  • Contains many exercises of varying difficulty, from bookwork to more substantial projects
  • Presents model theory in the context of undergraduate mathematics via definable sets in familiar structures
Read more... 

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Source: Cambridge University Press