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Joel Katelnikoff
Recombinant Theory

Recombinant Theory is a collection of literary essays that challenge how readers interact with and perceive text, context, and critical writing. Working with printed pages and scissors, Joel Katelnikoff a…

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Dan Gaylin
Fact Forward

Solutions to increase trust and empower better decision making in a data-rich world Fact Forward: The Perils of Bad Information and the Promise of a Data-Savvy Society explores how a growing deluge of dat…

lieferbar ab 8.4.2025.

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Susan Shu Chang
Machine Learning Interviews

As tech products become more prevalent today, the demand for machine learning professionals continues to grow. But the responsibilities and skill sets required of ML professionals still vary drastically f…

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Robert Crowe, Hannes Hapke, Emily Caveness, Di Zhu
Machine Learning Production Systems

Using machine learning for products, services, and critical business processes is quite different from using ML in an academic or research setting--especially for recent ML graduates and those moving from…

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Anthony Sarkis
Training Data for Machine Learning

Your training data has as much to do with the success of your data project as the algorithms themselves because most failures in AI systems relate to training data. But while training data is the foundati…

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Steve Wilson
The Developer's Playbook for Large Language Model Security

Large language models (LLMs) are not just shaping the trajectory of AI, they're also unveiling a new era of security challenges. This practical book takes you straight to the heart of these threats. Autho…

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Stefan Schäffler
Mathematics of Information

Mathematics Study Resources -Band 9

Starting with the Shannon-Wiener approach to mathematical information theory, allowing a mathematical "measurement" of an amount of information, the book begins by defining the terms message and informati…

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Felix Guattari
Molecular Revolution

Molecular Revolution comprises a series of articles from radical French philosopher and psychoanalyst, Felix Guattari, originally published in two separate French editions, of 1977 and 1980 - each bearing…

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Vincent Granville
Synthetic Data and Generative AI

Synthetic Data and Generative AI covers the foundations of machine learning with modern approaches to solving complex problems and the systematic generation and use of synthetic data. Emphasis is on scala…

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Eric Gaze, McKenzie Lamb
Data Analytics Toolkit

Expand your data analysis toolkit with Python, R, and Tableau Data Analytics Common Core is designed to help professionals transition from spreadsheet-based analysis to more powerful tools like Python, R,…

lieferbar ab 10.1.2025.

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Bill Shander
Stakeholder Whispering

Learn to uncover what your managers, clients, customers and other stakeholders need before doing what they ask People don't know what they need. The wants we communicate to others are shaped by our subcon…

lieferbar ab 29.4.2025.

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Catherine D'Ignazio
Counting Feminicide

"This book explores the work of activists in the Americas who are documenting feminicide, arguing that feminist activists at the margins have much to teach mainstream data scientists about data ethics: ho…

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Marcello La Rocca
Grokking Data Structures

Don’t be perplexed by data structures! This fun, friendly, and fully illustrated guide makes it easy to learn useful data structures you’ll put to work every day. Grokking Data Structures makes it a bree…

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Haunted Soundtracks

"An examination of the relationship between audiovisual soundtracks and the "sonic haunting" of trauma, anxiety, and nostalgia"--

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Ronny Hansch
Handbook of Random Forests: Theory and Applications for Remote Sensing

This compendium provides a hands-on description of Random Forests. It starts with a consistent introduction of general methods to create, train, and fuse ensembles of decision trees. Instead of limiting t…

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Seifedine Kadry, Shubham Mahajan
Data Science in the Medical Field

Data science has the potential to influence and improve fundamental services such as the healthcare sector. This book recognizes this fact by analyzing the potential uses of data science in healthcare. Ev…

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Elisa Farri, Gabriele Rosani
HBR Guide to Generative AI for Managers

"You're probably aware that generative AI can output quality text in any style and create stunning images in seconds. But smart managers are using gen AI for much more-business case development, data anal…

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William A Dembski, Winston Ewert
The Design Inference

A groundbreaking work on the scientific basis of detecting intelligent design in nature.

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Lillian Pierson
Data & AI Imperative

Praise for Data & AI Imperative "In Data & AI Imperative, Lillian Pierson masterfully breaks down the complexities and challenges of data and AI strategy. The book offers practical guidance like the STAR …

lieferbar ab 2.1.2025.

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Xavier Vasques
Machine Learning Theory and Applications

Enables readers to understand mathematical concepts behind data engineering and machine learning algorithms and apply them using open-source Python libraries Machine Learning Theory and Applications delv…

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