Filter by
Artificial Intelligence with Python: Your complete guide to building intellig…
Artificial Intelligence with Python, Second Edition is an updated and expanded version of the bestselling guide to artificial intelligence using the latest version of Python 3.x and TensorFlow 2. Not only does it provide you an introduction to artificial intelligence, this new edition goes further by giving you the tools you need to explore the amazing world of intelligent apps and create your …
- Edition
- 2nd
- ISBN/ISSN
- 978-1839219535
- Collation
- 618
- Series Title
- -
- Call Number
- 6.3
Foundations of Data Science
This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals …
- Edition
- 1st
- ISBN/ISSN
- 978-1108485067
- Collation
- 432
- Series Title
- -
- Call Number
- 006..312
Generative AI with LangChain: Build large language model (LLM) apps with Pyth…
ChatGPT and the GPT models by OpenAI have brought about a revolution not only in how we write and research but also in how we can process information. This book discusses the functioning, capabilities, and limitations of LLMs underlying chat systems, including ChatGPT and Gemini. It demonstrates, in a series of practical examples, how to use the LangChain framework to build production-ready and…
- Edition
- 1st
- ISBN/ISSN
- 978-1835083468
- Collation
- 376
- Series Title
- -
- Call Number
- 6.312
Doing Data Science: Straight Talk from the Frontline
Now that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you get started working in a wide-ranging, interdisciplinary field that?s so clouded in hype? This insightful book, based on Columbia University?s Introduction to Data Science class, tells you what you need to know. In many of these chap…
- Edition
- 1st
- ISBN/ISSN
- 978-1449358655
- Collation
- 405
- Series Title
- -
- Call Number
- 006..312
Computer Vision: Algorithms and Applications (Texts in Computer Science)
Computer Vision: Algorithms and Applications explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can apply to their own persona…
- Edition
- 1st
- ISBN/ISSN
- 978-1848829343
- Collation
- 832
- Series Title
- -
- Call Number
- 6.37
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
Computer Science, Information & General Works 
Philosophy & Psychology 
Religion 
Social Sciences 
Language 
Pure Science 
Applied Sciences 
Art & Recreation 
Literature 
History & Geography