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Principles of Data Mining (Adaptive Computation and Machine Learning)
The growing interest in data mining is motivated by a common problem across disciplines: how does one store, access, model, and ultimately describe and understand very large data sets? Historically, different aspects of data mining have been addressed independently by different disciplines. This is the first truly interdisciplinary text on data mining, blending the contributions of information …
- Edition
- 1st
- ISBN/ISSN
- 978-0262082907
- Collation
- 578
- Series Title
- -
- Call Number
- 5.74
Generative AI with Python and PyTorch Navigating the AI frontier with LLMs, …
Become an expert in Generative AI through immersive, hands-on projects that leverage today?s most powerful models for Natural Language Processing (NLP) and computer vision. Generative AI with Python and PyTorch is your end-to-end guide to creating advanced AI applications, made easy by Raghav Bali, a seasoned data scientist with multiple patents in AI, and Joseph Babcock, a PhD and machine lear…
- Edition
- 2nd
- ISBN/ISSN
- 978-1835884447
- Collation
- 450
- Series Title
- -
- Call Number
- 6.312
AI Ethics (The MIT Press Essential Knowledge series)
Artificial intelligence powers Google?s search engine, enables Facebook to target advertising, and allows Alexa and Siri to do their jobs. AI is also behind self-driving cars, predictive policing, and autonomous weapons that can kill without human intervention. These and other AI applications raise complex ethical issues that are the subject of ongoing debate. This volume in the MIT Press Essen…
- Edition
- 1st
- ISBN/ISSN
- 978-0262357074
- Collation
- 435
- Series Title
- -
- Call Number
- 170
Mathematical Foundations of Data Science (Texts in Computer Science)
This textbook aims to point out the most important principles of data analysis from the mathematical point of view. Specifically, it selected these questions for exploring: Which are the principles necessary to understand the implications of an application, and which are necessary to understand the conditions for the success of methods used? Theory is presented only to the degree necessary to a…
- Edition
- 3rd
- ISBN/ISSN
- 978-3031190735
- Collation
- 226
- Series Title
- -
- Call Number
- 6.312
Database Internals: A Deep Dive into How Distributed Data Systems Work
When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it?s often difficult to understand what each one offers and how they differ. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals. Throughout the b…
- Edition
- 1st
- ISBN/ISSN
- 978-1492040347
- Collation
- 370
- Series Title
- -
- Call Number
- 5.74
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
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