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Found 2233 from your keywords: subject="Computer Science"
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cover
Compiler Construction: Principles and Practice 1st Edition
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Louden, Kenneth c.

Edition
1st
ISBN/ISSN
1.40E+14
Collation
582
Series Title
-
Call Number
5.453

Edition
1st
ISBN/ISSN
1.40E+14
Collation
582
Series Title
-
Call Number
5.453
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cover
Hands-on machine learning with Scikit-Learn and TensorFlow : concepts, tools,…
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Ge?ron, Aure?lien

Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlo…

Edition
2nd Edition
ISBN/ISSN
9781491-96-2299
Collation
xx, 551 pages : illustrations ; 24 cm
Series Title
-
Call Number
006.31 GER
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cover
The book of why : the new science of cause and effect?
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Pearl, Judea

The "extraordinary" (Science Friday), "illuminating" (New York Times) argument for how understanding causality has revolutionized science and will revolutionize artificial intelligence "Correlation is not causation." This mantra, chanted by scientists for more than a century, has led to a virtual prohibition on causal talk. Today, that taboo is dead. The causal revolution, instigated by Jude…

Edition
1st Edition
ISBN/ISSN
9780465-09-7616
Collation
x, 418 pages ; 25 cm
Series Title
-
Call Number
005.01 PEA
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cover
Practical statistics for data scientists : 50+ essential concepts using R and…
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Bruce, Peter

Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this popular guide adds comprehensive examples in Python, provides practical guidance on applying statistical methods to data science, tells you how to avoid their misuse,…

Edition
2nd Edition
ISBN/ISSN
9781118-88-1354
Collation
xvi, 298 pages : illustrations ; 24 cm
Series Title
-
Call Number
001.422 BRU
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cover
Designing data-intensive applications : the big ideas behind reliable, scalab…
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Martin Kleppmann.

Data is at the center of many challenges in system design today. Difficult issues such as scalability, consistency, reliability, efficiency, and maintainability need to be resolved. In addition, there's an overwhelming variety of tools and analytical systems, including relational databases, NoSQL datastores, plus data warehouses and data lakes. What are the right choices for your application? H…

Edition
2nd Edition
ISBN/ISSN
9781449-37-3320
Collation
xix, 590 pages : illustrations, charts ; 24 cm
Series Title
-
Call Number
005.7 MAR
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cover
Machine Learning engineering In Action
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Wilson ,Ben

Field-tested tips, tricks, and design patterns for building machine learning projects that are deployable, maintainable, and secure from concept to production. In Machine Learning Engineering in Action, you will learn: Evaluating data science problems to find the most effective solution Scoping a machine learning project for usage expectations and budget Process techniques that minimize…

Edition
1st Edition
ISBN/ISSN
9781617-29-8714
Collation
xix, 554 pages : illustrations, charts ; 24 cm
Series Title
-
Call Number
006.3 WIL
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cover
Python for data analysis : data wrangling with pandas, NumPy, and IPython
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Wes McKinney

Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, and Jupyter in the process. Written by Wes M…

Edition
3rd Edition
ISBN/ISSN
9781491-95-7660
Collation
xiii, 447 p. : ill. ; 24 cm.
Series Title
-
Call Number
005.133 WES
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cover
Storytelling with data : a data visualization guide for business professionals
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Knaflic, Cole Nussbaumer

International bestseller with over half a million copies sold. Don't simply show your data?tell a story with it! Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory, …

Edition
1st Edition
ISBN/ISSN
9781119-00-2253
Collation
xiii, 267 pages : illustrations (some color) ; 24
Series Title
-
Call Number
001.4226 KNA
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cover
Fundamentals of data engineering : plan and build robust data systems?
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Joe Reis

Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle. …

Edition
1st Edition
ISBN/ISSN
9781098-10-8304
Collation
xix, 422 pages : illustrations (black and white) ;
Series Title
-
Call Number
005.743 JOE
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cover
Interpretable Machine Learning
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Molnar,Christoph

Summary This book covers a range of interpretability methods, from inherently interpretable models to methods that can make any model interpretable, such as SHAP, LIME and permutation feature importance. It also includes interpretation methods specific to deep neural networks, and discusses why interpretability is important in machine learning. All interpretation methods are explained in dep…

Edition
3rd Edition
ISBN/ISSN
979811-46-3330
Collation
x, 318 pages ; 24 cm
Series Title
-
Call Number
006.3 MOL
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