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Data Mining: Concepts and Techniques (The Morgan Kaufmann Series in Data Mana…
Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and methods for mining patterns, knowledge, and models from various kinds of data for diverse applications. Specifically, it delves into the processes for uncovering patterns and knowledge from massive collections of data, known as knowledge discovery from data, or KDD. It focuses on the feasibility, usefulnes…
- Edition
- 4th
- ISBN/ISSN
- 978-0128117606
- Collation
- 752
- Series Title
- -
- Call Number
- 6.312
Computer Security Fundamentals (Pearson IT Cybersecurity Curriculum (ITCC))
Clearly explains core concepts, terminology, challenges, technologies, and skills Covers today?s latest attacks and countermeasures The perfect beginner?s guide for anyone interested in a computer security career Dr. Chuck Easttom brings together complete coverage of all basic concepts, terminology, and issues, along with all the skills you need to get started. Drawing on 30 years o…
- Edition
- 4th
- ISBN/ISSN
- 978-0135774779
- Collation
- 512
- Series Title
- -
- Call Number
- 5.8
Artificial Intelligence: Foundations of Computational Agents
Artificial intelligence, including machine learning, has emerged as a transformational science and engineering discipline. Artificial Intelligence: Foundations of Computational Agents presents AI using a coherent framework to study the design of intelligent computational agents. By showing how the basic approaches fit into a multidimensional design space, readers learn the fundamentals without …
- Edition
- 2nd
- ISBN/ISSN
- 978-1107195394
- Collation
- 820
- Series Title
- -
- Call Number
- 6.3
Designing Machine Learning Systems: An Iterative Process for Production-Ready…
on 3 select item(s) Shop items Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and…
- Edition
- 1st
- ISBN/ISSN
- 978-1098107963
- Collation
- 386
- Series Title
- -
- Call Number
- 6.31
Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and …
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 technology environment, and the learning is supported and explained with examples that you can replicate…
- Edition
- 1st
- ISBN/ISSN
- 978-1118876138
- Collation
- 432
- Series Title
- -
- Call Number
- 6.312
The Cloud Computing Book: The Future of Computing Explained
This latest textbook from bestselling author, Douglas E. Comer, is a class-tested book providing a comprehensive introduction to cloud computing. Focusing on concepts and principles, rather than commercial offerings by cloud providers and vendors, The Cloud Computing Book: The Future of Computing Explained gives readers a complete picture of the advantages and growth of cloud computing, cloud i…
- Edition
- 1st
- ISBN/ISSN
- 978-0367706807
- Collation
- 288
- Series Title
- -
- Call Number
- 4.6782
Data Visualization: A Practical Introduction
An accessible primer on how to create effective graphics from data This book provides students and researchers a hands-on introduction to the principles and practice of data visualization. It explains what makes some graphs succeed while others fail, how to make high-quality figures from data using powerful and reproducible methods, and how to think about data visualization in an honest and …
- Edition
- 1st
- ISBN/ISSN
- 978-0691181622
- Collation
- 296
- Series Title
- -
- Call Number
- 1.4226
Data Mining: Concepts and Techniques (The Morgan Kaufmann Series in Data Mana…
Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It focuses on the feasibility, usefulness, effectiveness, and …
- Edition
- 3rd
- ISBN/ISSN
- 978-0123814807
- Collation
- 744
- Series Title
- -
- Call Number
- 6.312
An Introduction to Statistical Learning: with Applications in Python (Springe…
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance, marketing, and astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with releva…
- Edition
- 3rd
- ISBN/ISSN
- 978-3031387463
- Collation
- 607
- Series Title
- -
- Call Number
- 519.5-006.312
Probability and Statistics for Computer Scientists
Comprehensive and thorough development of both probability and statistics for serious computer scientists; goal-oriented: "to present the mathematical analysis underlying probability results" Special emphases on simulation and discrete decision theory Mathematically-rich, but self-contained text, at a gentle pace Review of calculus and linear algebra in an appendix Mathematical interludes (…
- Edition
- 1st
- ISBN/ISSN
- 978-0471326724
- Collation
- 760
- Series Title
- -
- Call Number
- 519.5
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