Deep Learning
An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives.
Deep learning is a fo…
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Pattern Recognition and Machine Learning (Information Science and Statistics)
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction
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Introduction to Algorithms
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Artificial Intelligence: A Modern Approach
For one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence. The long-anticipated revision of this best-selling text offers the most comprehensive, up-to-date introduct…
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Designing Data-Intensive Applications
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Fluent Python: Clear, Concise, and Effective Programming
Python's simplicity lets you become productive quickly, but this often means you aren't using everything it has to offer. With this hands-on guide, you'll learn how to write effective, idiomatic Pytho…
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Clean Code: A Handbook of Agile Software Craftsmanship
Even bad code can function. But if code isn't clean, it can bring a development organization to its knees. Every year, countless hours and significant resources are lost because of poorly written code…
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Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
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 dat…
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Grokking Algorithms An Illustrated Guide For Programmers and Other Curious People
An algorithm is nothing more than a step-by-step procedure for solving a problem. The algorithms you'll use most often as a programmer have already been discovered, tested, and proven. If you want to …
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Design Patterns: Elements of Reusable Object-Oriented Software
Capturing a wealth of experience about the design of object-oriented software, four top-notch designers present a catalog of simple and succinct solutions to commonly occurring design problems. Previo…
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An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
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 …
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Structure and Interpretation of Computer Programs
Structure and Interpretation of Computer Programs has had a dramatic impact on computer science curricula over the past decade. This long-awaited revision contains changes throughout the text. There a…
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Life 3.0: Being Human in the Age of Artificial Intelligence
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Python for Data Analysis
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Head First Design Patterns
You're not alone.
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At any given moment, somewhere in the world someone struggles with the same software design problems you have. You know you don't want to reinvent the wheel (or worse, a flat tire),…