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| Artificial Intelligence and Social Work |
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
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| Artificial Intelligence and Conservation |
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
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| High-Dimensional Statistics A Non-Asymptotic Viewpoint |
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
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| Computer Age Statistical Inference Algorithms, Evidence, and Data Science |
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
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| The Student's Introduction to Mathematica and the Wolfram Language |
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
An Invitation to Model Theory
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| An Invitation to Model Theory |
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
There's nothing better than Books and Coffee!
Source: Cambridge University Press
